Grayscale is the largest digital asset-focused investment platform in the world by AUM and offers the broadest selection of digital asset investment products in the U.S. based on number of products. Our platform spans the full spectrum of institutional-grade solutions—from single-asset exposures to diversified and thematic strategies—with a goal of providing every investor with access to the hyper-expanding digital asset universe. Our firm offers a rare combination of decades of traditional finance work experience and digital asset leadership that brings an institutional mindset to the maturing digital asset industry. This convergence of capabilities positions us to deliver investment solutions and client experiences that are both institutionally robust and technologically advanced, which we believe offers a competitive edge that is difficult to replicate. We’re proud of our deep crypto expertise and work closely with individual and institutional investors as they explore this asset class as part of their portfolio allocation. Position Summary: Grayscale Investments is seeking a Senior AI Security Architect to partner with our AI Enablement squad and broader engineering organization to ensure the safe, controlled adoption of AI across the firm. You will be responsible for designing and implementing security controls, guardrails, and governance mechanisms for AI-enabled systems, including LLM-based applications, agentic workflows, and AI-assisted development practices. This role is a key part of ensuring that AI evolves from experimentation into a secure, auditable, and scalable capability. You will work closely with engineering, data, product, and compliance teams to define secure architecture patterns, protect sensitive data, and ensure AI-driven processes remain explainable, reproducible, and aligned with regulatory expectations. This role reports into the Security organization and partners heavily with the Head of AI and engineering leadership. Responsibilities: Partner with engineering teams to design secure AI-enabled systems and define the security requirements, controls, and guardrails necessary for production deployment. Develop and maintain AI security standards, reference architectures, and approved design patterns for AI-enabled applications, platforms, and workflows. Lead threat modeling, architecture reviews, and security assessments for AI use cases, identifying risks such as prompt injection, data leakage, model misuse, and unintended agent behavior. Define and implement controls to protect sensitive data, including access controls, data segregation, lifecycle management, logging, monitoring, and auditability requirements. Establish security requirements for enterprise AI platforms, including model access, tool permissions, integration patterns, and third-party AI provider usage. Define validation, monitoring, detection, and incident response requirements for AI-enabled systems and partner with engineering and security operations teams to ensure effective implementation. Establish secure patterns for the use of AI throughout the software development lifecycle, including code generation, developer tooling, and AI-assisted engineering workflows. Assess and manage technical and operational risks associated with AI systems and third-party providers, including exception management, risk acceptance, and regulatory alignment. Partner with compliance, audit, and business stakeholders to ensure AI-enabled processes meet regulatory, control, and governance requirements. Stay current on emerging AI security risks, technologies, frameworks, and best practices, helping shape Grayscale's long-term AI security strategy. Qualifications: 7+ years of experience in cybersecurity, security engineering, application security, or security architecture. Experience designing and implementing security controls in cloud-native environments, preferably AWS. Strong understanding of security fundamentals including identity and access management, data protection, network security, monitoring, and incident response. Experience developing security standards, architecture patterns, and engineering guardrails for enterprise technology environments. Experience conducting threat modeling, architecture reviews, and security assessments for complex applications and platforms. Familiarity with AI/ML systems, including LLMs, agentic workflows, and AI-enabled application architectures. Strong programming and scripting capabilities (e.g., Python, Terraform, Infrastructure-as-Code) with the ability to review, analyze, and validate technical implementations. Strong understanding of modern software development practices including CI/CD, APIs, cloud-native architectures, and secure software development lifecycle (SSDLC) principles. Experience operating in regulated environments with strong control, audit, and compliance requirements, preferably within financial services. Strong communication skills with the ability to influence engineering teams and translate complex security risks into practical technical solutions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As an Executive Director, Control Manager within HR Control Management (HR/EX CDAO-aligned), you drive end-to-end controls coverage across the HR/Ex (experience) data and analytics lifecycle. You translate enterprise risk expectations into pragmatic, measurable standards that are embedded “by design” into delivery. You will lead governance, escalation, and issue remediation to keep controls audit-ready and responsive to emerging AI and agentic risks. You will establish and maintain a forward-looking control framework, building strong partnerships with HR/EX CDAO and broader HR stakeholders in a highly matrixed environment, strengthening governance and controls for HR data management, HR data products, and HR use of AI/ML capabilities as usage expands. HR Control Management (CM) maintains a strong and consistent control environment through a joint accountability model and focuses on four areas: Risk Identification & Assessment, Control Design & Evaluation, Issues & Control Deficiencies, and Control Governance & Reporting. The team partners closely with HR/EX Data & AI and data product stakeholders to drive consistent data governance, operational discipline, and evidence-based controls across sensitive HR/EX data assets. Job Responsibiliities: * Ensure critical HR/EX data assets have clear accountability, documented controls, and measurable health metrics through effective data controls governance. * Partner with HR Data & AI leaders to identify and assess risks, providing control design expertise to mitigate data- and AI-related risks. * Ensure controls are embedded “by design” into the data and analytics delivery lifecycle, including change management, access provisioning, data quality controls, lineage and metadata management, and ongoing lifecycle performance and resiliency considerations for critical HR/EX data assets. * Work in partnership with the Data product to design and operationalize processes from a risk management perspective, ensuring appropriate controls, documentation, data dictionaries/definitions, and evidence capture aligned to firmwide requirements. * Partner closely with HR CDAO stakeholders to establish oversight aligned to AI and model usage growth, including appropriate guardrails for development, validation, monitoring (including monitoring of data drift, data quality degradation, and upstream dependency health for high-impact HR/EX data products), and use-case change control. * Ensure the control environment adapts to agentic AI patterns, including workflow autonomy, toolchain dependencies, prompt and context handling, and monitoring expectations appropriate to risk. * Provide governance leadership, including preparing control materials for senior forums, delivering clear risk narratives, and escalating material control gaps with proposed remediation paths and interim risk acceptance recommendations when appropriate. * Partner with accountable stakeholders in the control issue lifecycle end-to-end, ensuring timely remediation, credible root cause analysis, and sustainable corrective actions validated through effective testing. * Ensure there is cross-functional engagement across business, operations, legal, compliance, risk, audit, regulators, and technology control functions as well as provide support for additional control programs (e.g., OLO, IAS, third-party management), as needed. Required qualifications, capabilities, and skills * Bachelor’s degree or equivalent experience * 7+ years of financial services experience in controls, audit, quality assurance, risk management, or compliance * Deep working knowledge of a large financial institution’s risk and control framework, including governance, control design, control testing, issue management, and audit/regulatory engagement * Demonstrated senior experience leading control programs (data governance, AI governance, product governance, or technology governance) in complex operating environments with material data risk and significant stakeholder scrutiny, using strong critical thinking and analytical skills * Proven people leadership capabilities, including hiring, coaching, performance management, and developing a high-performing team, with direct accountability for outcomes across multiple dimensions * Ability to communicate with precision and executive presence, translating technical and control topics into business-relevant decisions, trade-offs, and accountability; ability to influence without authority and drive closure across competing priorities * Working knowledge of CDAO requirements and governance expectations across data and analytics, with the ability to engage credibly on data lifecycle controls, data quality, access and entitlements, lineage, metadata, and operational discipline supporting analytics * Demonstrated experience partnering with Data Product, Engineering, and platform teams on data lifecycle governance (data quality management, lineage, metadata, and data access/entitlements) in complex, highly regulated environments * Practical understanding of data product operating models and how to implement scalable controls and governance patterns without slowing delivery (e.g., automated evidence capture, standardized data quality checks, and repeatable change control) Preferred qualifications, capabilities, and skills * Expertise in at least one HR discipline, ideally Workforce Data / privacy and data laws, but also other HR domains or experience supporting HR, employee data, or similarly sensitive data domains, given heightened confidentiality and privacy considerations inherent to the HR/EX environment * Experience partnering with Data & Analytics leaders to implement scalable governance and control patterns across multiple platforms and delivery teams and experience operating governance for HR/employee data products (or similarly sensitive domains), including establishing data quality thresholds, ownership models, and end-to-end lineage/metadata practices that support auditability and reliable analytics/AI consumption * Demonstrated experience shaping second-line challenge and/or first-line control ownership practices in environments with rapid AI adoption, particularly where model usage is expanding and controls must evolve without slowing delivery * Ability to operate effectively in high-ambiguity environments, balancing speed of delivery with control rigor, and building alignment across Product, Engineering, Data, and Business stakeholders without diluting accountability JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Radware is a global leader of cyber security and application delivery solutions for physical, cloud, and software defined data centers. At Radware, we live and breathe cybersecurity. It is our passion. Each day, our international team works to earn the trust of more than 12,500 organizations around the globe. Keeping them safe is our mission. To that end, we go head-to-head with politically motivated hacktivists, dangerous nation-state threat actors and other notorious cyber attackers -these are not your average adversaries. Backed by nearly 30 years of experience, Radware is best known for its technical excellence and innovative network and application security solutions. That is why it is so important that we build our team with bold and bright talent. What is the job: We are seeking a Product Manager to lead the development of security solutions for the next generation of Agentic AI systems. As AI evolves from chat interfaces into autonomous agents capable of reasoning, planning, taking actions, and interacting with external tools, data, and services, new security challenges emerge that require innovative approaches. This role sits at the intersection of AI, cybersecurity, and product strategy. The ideal candidate understands the rapidly evolving AI ecosystem, including foundation models, AI agents, MCPs, tool integrations, retrieval systems, and multi-agent architectures, and can translate emerging threats into compelling security products. What will you do? Define and execute the product strategy for Agentic AI security offerings. Develop deep expertise in agentic architectures, AI workflows, tool ecosystems, and autonomous decision-making systems. Identify emerging risks associated with AI agents, including prompt injection, tool abuse, data exfiltration, model manipulation, identity misuse, privilege escalation, and autonomous attack chains. Work closely with security researchers, AI engineers, platform teams, and customers to understand evolving threat landscapes. Translate customer requirements and security challenges into product requirements, roadmaps, and go-to-market strategies. Analyze trends in the AI economy, including agent marketplaces, AI-native applications, AI infrastructure, MCP ecosystems, and enterprise AI adoption. Define product capabilities for detection, prevention, monitoring, governance, and runtime protection of AI agents. Drive customer discovery, competitive analysis, and market research across the AI security landscape. Establish success metrics and continuously optimize product performance and customer outcomes. Collaborate with engineering, design, sales, and marketing teams to deliver impactful solutions. What you need: 3+ years of Product Management experience in cybersecurity, AI/ML, cloud platforms, or related technical domains. Strong understanding of modern AI systems, including: Large Language Models (LLMs) AI agents and agent frameworks Tool use and function calling Retrieval-Augmented Generation (RAG) Multi-agent systems Model Context Protocol (MCP) and emerging agent standards AI infrastructure and deployment architectures Strong understanding of cybersecurity concepts, including identity, application security, cloud security, threat detection, and risk management. Ability to understand and communicate complex technical concepts to both technical and business audiences. Experience defining product strategy and delivering products from concept to launch. Experience building products for AI security, application security, cloud security, or security operations. Familiarity with leading agent frameworks and AI platforms. Understanding of AI-specific attack vectors, including: Prompt injection, Jailbreaking, Data leakage, Tool poisoning, Agent hijacking, Supply chain attacks on AI systems, Model and context manipulation etc. Experience working with security researchers, red teams, or threat intelligence teams. Background in machine learning, security engineering, or software architecture – advantage Why you should join us: Employees from more than 40 countries have chosen Radware as a place where they can belong. Radware has been recognized by Glassdoor and BDI as one of the World’s Best Places to Work, ranking among the top 100 companies across the globe in the IT category. Radware has also been named a Gold Winner for Application Security in the 2023 Globee Cybersecurity Awards, by Forrester a Leader in DDoS Protection, and has been named a Leader in WAF Market by Quadrant Knowledge Solutions. We are equally committed to our people. We strive to create a dynamic work environment that celebrates diversity, promotes equality, and thrives on the unique contributions of each individual. If you are ready to be part of a global-minded company that is inspired to create a better, safer future; and if and want to fight for the good guys and be at the forefront of helping companies protect their most critical assets from today’s cyber adversaries, then you’ve found the right fit at Radware.

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world. Ford Motor Credit Company (“Ford Credit”) has received regulatory conditional approval to form Ford Credit Bank (the “Bank”), to be headquartered in Salt Lake City, Utah. The Bank will create innovative and simplified banking solutions to help customers across the country finance the purchase of new Ford vehicles, parts, accessories, EV Infrastructure and software and will accept deposits with competitive rates on FDIC-insured savings accounts and certificates of deposit. The Bank will be a direct and wholly owned subsidiary of Ford Credit, an indirect wholly owned subsidiary of Ford Motor Company (“Ford”). The people of Ford Credit have a 60-year commitment to helping put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service, and professional expertise to five thousand dealers and more than four million customers in over 100 countries around the world. The proposed Bank will be a strategic addition to Ford Credit and is key to providing the capabilities needed to meet the financing expectations of Ford customers. If you’re customer-focused, driven and seeking the opportunity to experience exciting challenges and growth, look no further. The successful candidate will be a member of an exciting and dynamic team of banking professionals who would have the opportunity to stand up and begin the operations of the de novo Bank. New employees hired by the bank will initially be Ford Credit employees. Once the bank is formally established, these employees may be transferred to the new bank. Come help build a better world, where every person is free to move and pursue their dreams. Ford was built on the belief that freedom of movement drives human progress. It’s a belief that has fueled our passion to create great cars and trucks. And today, it drives our commitment to become the world’s most trusted mobility company, designing vehicles for a smart world that helps people move more safely, confidently, and freely. Ford is experiencing significant business transformation in an ever-changing digital world. We are dedicated to delivering distinctive products and solutions, having an “always on” relationship with customers and continuously improving our user experience. In this position... Play a vital role in an exciting and dynamic team of banking professionals to stand up and begin operations of the de novo Bank. The Model Risk Management (MRM) Lead will be the technical subject matter expert for the models and analytics used to run the Bank. You will gain broad exposure across credit scoring, pricing, collections, financial crimes, expected credit loss methodologies, and more. This individual will report directly to the Bank’s Director of MRM and will assist in the execution of the MRM program in compliance with the Bank’s policy and procedures and regulatory expectations. The MRM Lead will ensure the appropriate identification, assessment, validation, and ongoing monitoring of models and quantitative methodologies.

Location: On site at location listed in job posting SUMMARY At First Horizon, the Senior Model Risk Consultant, under the supervision of the Director of Model Risk Management, will be responsible for executing best-in-class model validation activities to ensure models across First Horizon are conceptually sound relative to their intended use and performing as expected as well as ensuring compliance with our bank-wide model risk management framework including its policies and procedures. This key member of the Model Risk Management team will work closely with model developers, owners, and business units to ensure effective governance and minimize model risk. Primary Responsibilities * Validates CECL, Stress Testing, and other economic models used by the Bank using various statistical and advanced testing techniques * Critically evaluates the conceptual soundness of models and evaluates alternative theories * Designs and executes appropriate tests to determine whether models work as designed and monitors existing models for adequate performance * Work collaboratively with other model risk analysts as well as model owners, developers, and users Requirements * Master’s degree in Mathematics, Computational Finance, Econometrics, Mathematics, Statistics, or related field * Three years of work experience validating econometric or time series regression models. Relevant PhD work can be substituted for work experience. * Strong knowledge of regulatory requirements for Model Risk Management with proven track records of delivering regulatory requirements * Strong critical thinking skills and a detail-oriented nature to challenge models developed internally and by vendors * Excellent verbal and written communication skills are necessary (ability to explain complex ideas in simple, non-technical language) * In depth knowledge of at least two of the following: DFAST, CCAR, CECL, AML Preferences * PhD degree in Mathematics, Computational Finance, Econometrics, Statistics, or related field * Five years of experience validating econometric or time series regression models Skills and Competencies * Strong ability and training in time series regression models * Proficiency in Python and R * Ability to learn additional systems as needed * Ability to research, analyze data, and derive facts * Ability to work under pressure and meet deadlines * Strong verbal, written communication, and organizational skills * Strong work ethic and self-motivation Hours * Monday - Friday * 9:00 AM - 5:00 PM About Us First Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at www.FirstHorizon.com [https://urldefense.com/v3/__https:/www.firsthorizon.com/__;!!Cz2fjcuE!hpq9hPnrucZCPIAVPojVESItIq-FPzhurNdCrQ3JE8Rkx3gMd70nIk6_kmPxl66_oJCEsXs0gNunPowMAMHCmBYPOtUxUGI$]. Benefit Highlights • Medical with wellness incentives, dental, and vision • HSA with company match • Maternity and parental leave • Tuition reimbursement • Mentor program • 401(k) with 6% match • More -- FirstHorizon.com/First-Horizon-National-Corporation/Careers/Our-Benefits Follow Us Facebook [https://www.facebook.com/FirstHorizonBank] X formerly Twitter [https://twitter.com/FirstHorizonBnk] LinkedIn [http://www.linkedin.com/company/first-horizon-bank] Instagram [https://www.instagram.com/first_horizon/] YouTube [https://www.youtube.com/channel/UCEVs5OMj-b0H9Dr5Q209_-Q]

JOB PURPOSE: This role is accountable for the strategic oversight, governance, and continuous improvement of all AI agent activity within FRMC. The role ensures that AI outputs, agent design, and business processes are aligned with approved risk and control frameworks, the MCF and FRMC standards. This role is a key influencer for use of AI by all FRMC personnel and key Finance leaders (VPs, directors..) that use FRMC AI tools. KEY ACTIVITIES/ RESPONSIBILITIES: Ensures risk and control frameworks, risk and control matrices, master control and testing frameworks are applied appropriately and in line with best practice and are Up To Date across AI tools used by finance teams focused on risk and controls Accountable to set up and maintain the appropriate governance framework for AI agents including creation of Key risk indicators, key performance indicators, and monitoring tools/frameworks Identifies opportunities and implementation of a portfolio of projects/ new use cases of AI in management of risk and controls in finance processes Leads and oversees the AI FRMC business team and coordinates with the Data Analytics and AI tech teams to ensure all AI tools are meeting requirements, delivering to the quality and speed expected Accountable for the ongoing governance and compliance to external frameworks for Finance risk and controls through AI Partners with FRMC and Finance leaders (VP, Senior director and lower levels) to prioritise requirements and ensure agents provide services meeting their requirements - Drive and manage continuous improvement of AI governance models, escalation procedures, to MCF, risk and control matrices and other frameworks, incorporating lessons learned and anticipating emerging risks. Problem solves challenges in AI performance to provide guidance to direct reports and take decisions on escalated or complex issues related to AI agents’ behaviour, content, or outputs, maintaining adherence to risk and control requirements Provides assurance and evidence to external auditors for Sarbanes Oxley reliance QUALIFICATIONS AND EXPERIENCE: Relevant degree level qualification or other formal education in relevant economic, business, organisational or another field. 15+ years of experience in finance, risk management, controls, or governance with demonstrable leadership of strategic initiatives, or risk oversight functions. Experience should include defining and enforcing risk and control frameworks and overseeing digital or AI-enabled process initiatives. Interest in the technical solutions for risk and controls management o Professional finance qualification with audit experience(e.g., CA, CPA, ACCA, CIA) OR o AI qualification o Possible licenses: Includes: such as Microsoft Certified: Agentic AI Business Solutions Architect (AB00).Microsoft Certified: AI Business Professional., Certified AI Governance Professional (AIGP) Skills Business Risk Management, Critical Thinking, Digital Fluency, Financial Compliance, Influencing Without Authority, Internal Controls, PESTLE Analysis, Stakeholder Management Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Inclusion at GSK: As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at [email protected] to discuss your needs. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way. GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable. If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing [email protected], so that we can confirm to you if the job is genuine. We are a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more on our career site.

About bunny.net Some people accept the internet as it is. We see what it could be. At bunny.net, we don’t wait for change. We make it happen. You won’t find layers of red tape or play-it-safe thinking here. You’ll find people who move quickly, take ownership, and push ideas all the way to the edge. Literally. You’ll build things that solve actual problems, not add to them. We’re not perfect, and we don’t pretend to be. But we’re always improving. We’re looking for people who want to do the same, who take pride in their work, and aren’t afraid to challenge what’s possible. Because everyone deserves a better internet. And we’re here to help it hop faster. Senior AI Security Engineer AI agents are changing how software gets built, deployed, and operated. They also introduce an entirely new attack surface: prompt injection, secret exfiltration, escalation paths, and insider threat amplification. Most organizations are adopting agents faster than they’re securing them. We’re building the products that fix that. bunny.net is building a new product line focused on AI security: giving customers the infrastructure to route, observe, and control AI traffic at the edge, and the security layer to protect against the threats that come with agent adoption. Detection, prevention, access enforcement, and visibility into what AI systems are actually doing. This role sits at the center of that effort. You'll join the AI team as one of its first members, helping define the security models, controls, and products that help customers safely adopt AI at scale. You'll do it as part of an AI-native team, building, testing, and shipping through AI agents every day rather than writing code by hand. The challenges are real, the playbook is still being written, and many of the best practices haven't been established yet. You'll help define them. What will you do? Help design the security architecture behind bunny.net's AI security products: the threat models, detection systems, access controls, and enforcement policies that protect customers from AI-era attacks Build core security capabilities, including prompt injection detection, secret protection, agent auditing, and access enforcement Work with Product and AI leadership to identify the threats that matter most and decide what to build next Build security products on bunny.net's global edge network, bringing AI security to a globally distributed platform operating at massive scale Help secure bunny.net's internal AI platform and apply those learnings to customer-facing products What will you bring? You’ll bring deep engineering experience, an AI-native way of working, and a hands-on understanding of where agents break, meaning: 7+ years building and architecting complex production systems Background in application security, infrastructure security, or both AI-native workflow, meaning you build alongside AI agents every day and know how to turn their output into production-ready systems Senior-level software architecture skills, including thinking in trust boundaries, failure modes, and system-level risk, not just features Experience with the failure modes and guardrails of agent-driven development and how to mitigate them What will make us extra happy? Deep understanding of how agents change the attack surface: prompt injection, secret exfiltration, escalation paths, insider threat amplification Experience building security products such as WAFs, API gateways, or threat detection systems Experience using AI and agents to build or improve production security tooling Familiarity with edge computing, CDN infrastructure, or large-scale distributed systems Where should you be located? Europe, ideally within CET ±3 hours so collaboration with the team feels natural rather than scheduled. What's in it for you? Life at bunny.net comes with benefits that make work (and life) better. 100% flexible hours - Your work, your rhythm. Whether you thrive at 3 am or on a beach at noon, we've got you. Remote-first by design - No offices, no commute, just the freedom to work anywhere. Miss the office? We’ll give you a 3-night voucher for visiting our headquarters. Performance-based bonuses - Great work pays off, and we reward impact annually. Medical, dental, and vision insurance - Coverage worldwide. Paid time off - Love the slopes or the sea? Enjoy them with 25 vacation days, plus an extra loyalty day each year, capped at 5 years (30 days total), on top of your local public holidays. Meeting-free Thursdays - We keep Thursdays meeting free internally so you can focus on deep work without interruptions. Home office budget - We believe everyone is more efficient working in a comfortable office, and we're happy to help you set it up with an annual budget of €500. Paid sick leave - Feeling ill? Take time off to fully recover without having to worry about your finances. Parental leave - Paid 16 weeks for birthing parents, 8 weeks for non-birthing parents. If your country gives more, that’s your baseline. If it gives less, we top it up. Take your leave all at once or split it across the first year for maximum flexibility. After paid leave, your local statutory rules apply. Annual fluffle building - We're remote, but not distant! Once a year, we meet in a sunny location where virtual high-fives turn into real ones. Employee Stock Option Plan (ESOP) - Everyone at bunny.net gets a piece of the pie, starting with 0.01% equity. Mental health support - Feeling down? We've got your back. bunny.net provides mental health resources and help via BetterHelp.com. Wellness budget - An annual well-being budget of €480 is here to help you stay fresh and focused. Educational budget - €500 yearly for books, seminars, or online courses to keep your learning on track, work-related or not. Music on us: Work is better with music. Enjoy a yearly Apple, Spotify, or YouTube Premium subscription on us.

Principal Security Engineer, DLP AI Automation, Platform Integration Location: Hybrid – 4 days onsite, 1 remote in one of the following hubs: Johnston, RI | Boston, MA | Iselin, NJ | Pittsburgh, PA | Manchester, NH Summary Lead the design, deployment, and expansion of enterprise Data Loss Prevention capabilities with a focus on AI driven automation. Own DLP platform integration and strategy across cloud, endpoint, SaaS, and emerging AI environments, driving scalable, automated data protection that reduces risk and enables secure innovation. Key Responsibilities AI Automation and Intelligent Operations • Deploy and operationalize AI driven DLP automation, including agent based triage, contextual risk assessment, and automated remediation • Leverage AI powered classification, adaptive protection, and insider risk capabilities to build proactive data protection workflows • Design automation pipelines to reduce manual triage, lower false positives, and accelerate incident resolution • Evaluate and integrate emerging AI and ML capabilities to improve DLP effectiveness and operational efficiency DLP Architecture and Deployment • Lead end to end design, deployment, and optimization of DLP controls across CASB, Information Protection, and DSPM platforms • Architect unified DLP policies across endpoints, SaaS, IaaS, email, and network traffic within SSE environments • Define security requirements, architecture patterns, and integration blueprints for enterprise DLP solutions across cloud and hybrid environments Policy Development, Tuning, and Compliance • Develop and enforce DLP policies aligned to regulatory requirements such as GLBA, PCI DSS, SOX, GDPR • Continuously tune rules, classifiers, sensitive information types, and exception workflows to improve detection accuracy • Apply risk frameworks to identify and mitigate data protection gaps • Maintain documentation, runbooks, and audit evidence for compliance reviews Leadership and Collaboration • Serve as the technical lead for DLP AI automation initiatives • Partner across cybersecurity, risk, IT, and business teams to align data protection strategy • Mentor engineers and promote operational excellence and continuous learning • Oversee design, integration, testing, and delivery of data protection solutions • Present program insights and recommendations to senior leadership Required Qualifications • Bachelor’s degree or equivalent experience in Computer Science, Cybersecurity, or related field • 8+ years experience in information security, including 4+ years in DLP, CASB, or cloud data protection engineering • Deep hands on expertise with DLP platforms including policy design, deployment, and operations • Experience integrating DLP and CASB with SIEM, SOAR, identity, and cloud platforms • Proven experience building automation or AI driven workflows for security operations • Strong knowledge of regulatory frameworks such as GLBA, PCI DSS, SOX, FFIEC, GDPR, CCPA • Strong analytical and troubleshooting skills across hybrid environments • Excellent communication skills translating technical concepts for varied audiences Preferred Qualifications • Experience with agent based DLP automation and autonomous remediation capabilities • Familiarity with AI driven security tooling including AI risk and readiness platforms • Experience with additional data protection technologies • Scripting or automation experience such as Python, PowerShell, or KQL • Certifications such as CISSP, CCSP, CISM • Experience in financial services or other regulated industries • Experience with SIEM analytics, dashboards, and DLP telemetry correlation • Cloud security experience across AWS, Azure, or GCP Core Skills • DLP and data protection engineering, advanced, designs and operates enterprise DLP across cloud, endpoint, and network • AI and automation in security, advanced, applies AI driven workflows to enhance detection and response • Cloud security and CASB, advanced, secures SaaS and cloud environments • Compliance and regulatory controls, advanced, aligns DLP strategy with regulatory requirements • Cybersecurity strategy, advanced, connects data protection initiatives to business priorities • Emerging technologies, advanced, evaluates and implements new AI and security capabilities • Systems integration and management, advanced, integrates security platforms across the enterprise • Incident and problem management, advanced, leads investigation and resolution of data security events • Stakeholder engagement and communication, advanced, communicates risk and strategy to leadership • Innovation and continuous improvement, advanced, drives automation and program optimization Why Join Us • Lead cutting edge AI driven data protection initiatives shaping how the organization secures sensitive data • Work in a collaborative, innovation focused environment with strong executive visibility • Directly influence secure adoption of AI and cloud technologies • Competitive compensation, strong benefits, and support for professional growth Pay Transparency The salary range for this position is $145,000-180,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits [https://jobs.citizensbank.com/benefits]. #LI-Citizens1 Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Equal Employment and Opportunity Employer Job Applicant Data Privacy Policy [https://jobs.citizensbank.com/Job-Applicant-Privacy-Policy] Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Qualifications * 4–7 years of software or ML engineering experience, with at least 2–3 years focused on AI/ML security specifically * Hands-on experience with LLM application architecture: RAG, tool use, agent orchestration frameworks (LangChain, LlamaIndex, CrewAI, or similar) * Practical experience with adversarial ML techniques: prompt injection, data poisoning, model inversion, evasion attacks * NHI security implementation: service account hygiene, secrets rotation, OAuth/OIDC for machine-to-machine authentication * Security monitoring for AI in production: behavioral baselines, output anomaly detection, audit logging * Strong coding ability — Python required; comfortable with LLM SDKs, agent frameworks, and CI/CD pipeline integration * Familiarity with AI governance frameworks: NIST AI RMF, ISO/IEC 42001, emerging EU AI Act controls * Bonus: red team or penetration testing background applied specifically to AI systems * Bonus: experience building reusable security tooling or accelerators packaged for delivery across multiple clients Want to learn more about Consulting & Security Services? Check us out on our platform: https://www.wwt.com/consulting-services [https://www.wwt.com/consulting-services] https://www.wwt.com/category/security-transformation [https://www.wwt.com/category/security-transformation] Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $140,000 to $170,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: * Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program * Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement * Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement * Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! If you have any questions or concerns about this posting, please email [email protected]. #LI-TB1 Qualifications Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. Role Summary WWT Digital’s AI-Native Security team is seeking an AI Security Engineer to build, configure, and harden AI agent security systems tailored to individual enterprise customers. Working from structured requirements delivered by our AI Security Consultants and architectural standards set by the Principal Architect, you will implement and customize the technical security controls, evaluation frameworks, and monitoring infrastructure that form our core deliverable. You will operate at the intersection of AI engineering and security engineering, translating client-specific risk profiles and deployment environments into production-ready configurations and tooling. You will work with the Digital AI delivery team and WWT Security on joint engagements targeting enterprise engineering organizations deploying agentic AI at scale. Responsibilities * Receive and interpret requirements briefs from the AI Security Consultant; translate client-specific security requirements into technical implementation plans aligned with Principal Architect standards * Implement and customize NHI (Non-Human Identity) governance frameworks for AI agents, service accounts, and API credentials based on client architecture * Build adversarial test suites for LLM-based applications: red-teaming agents, jailbreak testing, context injection, and prompt injection scenarios * Integrate security feedback loops into client AI development workflows: model evaluation gates, output monitoring pipelines, and anomaly detection * Define and implement MLSecOps practices per client requirements: model signing, provenance tracking, fine-tune data validation * Assess AI and agent system architectures for security exposure (prompt injection paths, tool misuse, data exfiltration vectors, identity sprawl) as needed to validate consultant findings * Implement AI governance and compliance controls required by regulated clients — audit trails, model cards, data lineage documentation, access logging, and bias evaluation records — translating framework requirements surfaced by the Consultant into operational, evidenceable deliverables * Develop reusable implementation patterns, configuration templates, and accelerator tooling that can be packaged into repeatable WWT offerings * Collaborate closely with the AI Security Consultant and Principal Architect to validate that delivered systems satisfy client requirements and address identified gaps

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! We are looking for an exceptional Senior Product Manager to join our AI Security group and play a key role in shaping the future of AI Security at Cato. As a Product Manager, you will drive product strategy, define innovative security capabilities, and work closely with engineering, security researchers, and customers to build solutions that help organizations securely embrace the AI era. Responsibilities: Identify emerging challenges, opportunities, and customer requirements related to AI Security, AI applications, AI agents, and data protection. Define and drive product strategy for AI Security initiatives across Cato's platform. Break down strategic product goals into actionable plans and lead execution across engineering, research, design, and go-to-market teams. Define product requirements and oversee the implementation of new AI Security capabilities and services. Conduct market research, competitive analysis, and customer discovery to understand evolving AI Security threats, trends, and customer needs. Work closely with customers, partners, and internal stakeholders to validate problems, prioritize opportunities, and shape product direction. Analyze product performance, user behavior, and customer feedback to continuously improve product effectiveness and business impact. Collaborate closely with world-class engineering and security teams to bring innovative AI Security solutions to market. Drive cross-functional initiatives involving Product, R&D, Security Research, Sales, Marketing, and executive leadership. Requirements: At least 5 years of B2B Product Management experience in enterprise software or cybersecurity companies. Proven experience building and delivering security products. Strong domain expertise in cybersecurity, including cloud security, data protection, application security, threat detection, security operations, or related areas. Experience working on AI-powered products, Generative AI solutions, AI platforms, or AI-driven user experiences. Strong understanding of modern AI technologies, including Large Language Models (LLMs), AI agents, orchestration frameworks, tools, and AI application architectures. Demonstrated ability to lead complex product initiatives from concept to launch in fast-paced environments. Strong technical aptitude and ability to work closely with highly technical engineering and research teams. Excellent communication, prioritization, and stakeholder management skills. Proven ability to influence and drive alignment across cross-functional teams. Technical background as a software engineer, security engineer, security researcher, solutions engineer, or similar technical role.

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! We are looking for an exceptional Senior Product Manager to join our AI Security group and play a key role in shaping the future of AI Security at Cato. As a Product Manager, you will drive product strategy, define innovative security capabilities, and work closely with engineering, security researchers, and customers to build solutions that help organizations securely embrace the AI era. Responsibilities: Identify emerging challenges, opportunities, and customer requirements related to AI Security, AI applications, AI agents, and data protection. Define and drive product strategy for AI Security initiatives across Cato's platform. Break down strategic product goals into actionable plans and lead execution across engineering, research, design, and go-to-market teams. Define product requirements and oversee the implementation of new AI Security capabilities and services. Conduct market research, competitive analysis, and customer discovery to understand evolving AI Security threats, trends, and customer needs. Work closely with customers, partners, and internal stakeholders to validate problems, prioritize opportunities, and shape product direction. Analyze product performance, user behavior, and customer feedback to continuously improve product effectiveness and business impact. Collaborate closely with world-class engineering and security teams to bring innovative AI Security solutions to market. Drive cross-functional initiatives involving Product, R&D, Security Research, Sales, Marketing, and executive leadership. Requirements: At least 5 years of B2B Product Management experience in enterprise software or cybersecurity companies. Proven experience building and delivering security products. Strong domain expertise in cybersecurity, including cloud security, data protection, application security, threat detection, security operations, or related areas. Experience working on AI-powered products, Generative AI solutions, AI platforms, or AI-driven user experiences. Strong understanding of modern AI technologies, including Large Language Models (LLMs), AI agents, orchestration frameworks, tools, and AI application architectures. Demonstrated ability to lead complex product initiatives from concept to launch in fast-paced environments. Strong technical aptitude and ability to work closely with highly technical engineering and research teams. Excellent communication, prioritization, and stakeholder management skills. Proven ability to influence and drive alignment across cross-functional teams. Technical background as a software engineer, security engineer, security researcher, solutions engineer, or similar technical role.

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage. REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a Construction/ Architect Analyst - AI Evaluation Team at REAL, you will work hands-on with real estate, construction, and asset-related data, turning complex source materials into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component. You will work closely with lease agreements, property documents, construction-related materials, plans, budgets, reports, and asset data, primarily within the U.S. commercial real estate market. The role is ideal for someone with a background in U.S. commercial real estate, construction analysis, development, property management, or PropTech who enjoys working with documents, data, and details, and can help make messy information structured, accurate, and scalable. What You'll Do Review and process real estate and construction-related documents, including leases, property data, plans, reports, budgets, and project materials Extract key data points from contracts, property documents, and construction-related sources into structured systems Work with U.S. commercial real estate, property, construction, and asset-management terminology Clean, organize, and validate large volumes of data Identify inconsistencies, missing information, anomalies, and document gaps, and help resolve them Analyze construction and property-related inputs to support accurate data structuring and evaluation Work closely with internal teams to ensure data is accurate, consistent, and aligned with product needs Support onboarding of new customer data into the system Maintain high data quality and accuracy standards Improve internal workflows and data handling processes over time Gradually build deeper domain expertise in real estate, construction, and customer use cases What We're Looking For 2-4 years of experience in, U.S. commercial real estate, construction analysis, property management, development, or PropTech Experience working with property documents, construction documents, leases, contracts, budgets, reports, or plans background in CRE, development, construction, architecture, asset management, property management, or operations roles involving construction plans, lease data, and/or financial data — strong advantage Native-level English — must; ability to read, write, and understand professional documents, contracts, reports, and technical materials in English Strong attention to detail and ability to work with high accuracy Comfortable working with data; Excel / Google Sheets required Analytical mindset and ability to identify issues, gaps, and inconsistencies in data Ability to work independently and handle operational tasks at scale Strong sense of ownership and responsibility Technical curiosity and willingness to work with data systems and AI-driven workflows Good communication skills and ability to collaborate with different teams

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world’s largest Fortune 1000 and Global 2000 companies. Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they’re transforming how SaaS is secured. With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. Obsidian Security is looking for a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution for how customers understand, prioritize, and reduce risk across their SaaS and third-party ecosystem. We’re looking for a PM who thinks beyond product features and focuses on the key outcomes customers care about most: reducing unknown third-party risk, understanding where AI and agentic capabilities are enabled, prioritizing what matters, making risk explainable, and helping teams take action. As SaaS vendors rapidly add AI and agentic capabilities into their applications, enterprises are struggling to answer basic but critical questions: Is AI enabled in our tenants? What does it do? What data can it access? Who can use it? Which agents, apps, or integrations can act on behalf of users? Is any of this governed consistently? This role is not about managing a feature backlog. It is about identifying the most important customer and business problems, defining the outcomes we need to drive, and partnering with Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, and leadership to deliver measurable customer value. Responsibilities Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact. Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps. Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact. Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics. Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows. Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable. Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops. Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure. Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations. Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results. Required qualifications 7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software. Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact. Experience owning a product area from strategy through execution, launch, adoption, and iteration. Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture. Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs. Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows. Proven ability to lead cross-functional teams without formal authority. Excellent written and verbal communication skills. Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact [email protected] Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy. Base Salary Range $184,000—$223,000 USD

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world’s largest Fortune 1000 and Global 2000 companies. Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they’re transforming how SaaS is secured. With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. Obsidian Security is looking for a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution for how customers understand, prioritize, and reduce risk across their SaaS and third-party ecosystem. We’re looking for a PM who thinks beyond product features and focuses on the key outcomes customers care about most: reducing unknown third-party risk, understanding where AI and agentic capabilities are enabled, prioritizing what matters, making risk explainable, and helping teams take action. As SaaS vendors rapidly add AI and agentic capabilities into their applications, enterprises are struggling to answer basic but critical questions: Is AI enabled in our tenants? What does it do? What data can it access? Who can use it? Which agents, apps, or integrations can act on behalf of users? Is any of this governed consistently? This role is not about managing a feature backlog. It is about identifying the most important customer and business problems, defining the outcomes we need to drive, and partnering with Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, and leadership to deliver measurable customer value. Responsibilities Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact. Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps. Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact. Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics. Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows. Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable. Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops. Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure. Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations. Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results. Required qualifications 7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software. Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact. Experience owning a product area from strategy through execution, launch, adoption, and iteration. Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture. Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs. Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows. Proven ability to lead cross-functional teams without formal authority. Excellent written and verbal communication skills. Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact [email protected] Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy. Base Salary Range $184,000—$223,000 USD

If you live in Australia or New Zealand, you’ve likely heard of AMP. But at a time when society is changing, we are too. We’re now a nimbler business with new leadership and thinking. For us, these are exciting times. There’s a real potential for big thinkers to help us redefine what financial services could be. And turn our legacy into something even more positive and powerful for the future. Help people create their tomorrow, while you create yours We help people with their banking, super, retirement and finances. Through upturns, downturns, recessions, and major life transitions. Every day, we help people see and make more of their financial potential, so that they can create their tomorrow. And we’ve been doing it for over 170 years. If we do our job well, we genuinely add to the prosperity of our country and its people. How you'll make an impact In this role, you will help shape and mature AMP’s Line 1 approach to enterprise AI risk, ensuring the organisation adopts and uses AI in a way that is responsible, transparent and aligned to risk appetite, regulatory obligations and strategic objectives. You will lead the enterprise view of AI risk by driving practical governance, inventory management, observability, assurance and reporting, while providing the clear, trusted insights that enable confident executive and committee-level decision-making. Working across business, technology, data, security and risk stakeholders, you will influence how AI risk is understood, governed and embedded across the organisation. This is an opportunity to have genuine enterprise-wide impact, strengthening oversight, uplifting frameworks and controls, and helping build a mature AI risk-aware culture that supports innovation while protecting customers, data and the business. What you'll bring to the role You will bring significant experience in enterprise risk, operational risk, compliance or governance within complex, highly regulated environments, along with capability in leading AI risk, responsible AI or AI governance initiatives. You’ll know how to build and uplift frameworks, policies, standards, controls and reporting and you’ll be confident balancing regulatory expectations, business priorities and practical implementation considerations. You’ll also bring strong executive communication and stakeholder engagement skills, with the ability to translate complex AI and risk topics into clear, decision-useful insights for senior audiences. Success in this role will come from your strategic thinking, sound judgement, analytical strength and ability to influence across diverse stakeholder groups, as well as your capacity to foster awareness, accountability and strong risk-based decision-making in an evolving AI landscape. You’ll thrive here if… If you can adapt from BAU to the ambiguous with ease, you’ll do well here. Change is never easy, so bring your commitment, grit and growth mindset. Because we run lean, you’ll be expected to jump in and deliver across a variety of areas. Meaning, you’ll be closer to the action and executive decisions that influence where we go next. If you’re someone that can hold their own, you’ll find AMP quite liberating. Why we think you’ll love working at AMP Doing what we’ve always done is not an option, so your clever ideas will get airtime here. You’ll be encouraged to speak up and try new things. If they don’t work, we move on – better for it. We know there’s no one way of doing things. So, you won’t have to sacrifice who you are or how you work to fit in here. We’re inclusive and flexible in many of the ways you’d expect. And in some of the ways you wouldn’t. As long as your health and wellbeing come first - at home and at work. In fact, most of what makes AMP such a welcoming, enjoyable place to work are our people. Wherever you go, you’ll find moments to connect, feel valued and do meaningful work. Whether it’s through our first-class leaders who are invested in you and your success. Through year-round opportunities to volunteer, fundraise and give back to the community. Or in the everyday challenges you face as we work together to strengthen this great organisation. Challenges that will stretch you, amplify your potential and compound the impact you have. We believe in the power of inclusion and diversity We’re dedicated to fostering inclusion, diversity, and a warm feeling of belonging at AMP. It sparks creativity, ignites innovation, and turns up the dial on the quality of our decisions and performance. This not only makes our workplace more engaged, but also leads to better connections with our customers. We're your allies in the search for the perfect fit - when you apply, let us know how we can support you to put your best self forward during our selection process. We're also committed to enhancing employment opportunities for Aboriginal and Torres Strait Islander people, so we enthusiastically encourage candidates from these backgrounds to apply and explore our Reconciliation Plan on our website Ready to create your tomorrow? If you’re someone who sees opportunity where others see challenge, come and work with us in smart, progressive ways as we transform an iconic Australian brand for the future. And, through a series of career-defining moments, create your own tomorrow. Don’t procrastinate! We review applications when we get them, and if we discover the ideal candidate, we may close the role earlier than the advertised close date.

If you live in Australia or New Zealand, you’ve likely heard of AMP. But at a time when society is changing, we are too. We’re now a nimbler business with new leadership and thinking. For us, these are exciting times. There’s a real potential for big thinkers to help us redefine what financial services could be. And turn our legacy into something even more positive and powerful for the future. Help people create their tomorrow, while you create yours We help people with their banking, super, retirement and finances. Through upturns, downturns, recessions, and major life transitions. Every day, we help people see and make more of their financial potential, so that they can create their tomorrow. And we’ve been doing it for over 170 years. If we do our job well, we genuinely add to the prosperity of our country and its people. How you'll make an impact In this role, you will help shape and mature AMP’s Line 1 approach to enterprise AI risk, ensuring the organisation adopts and uses AI in a way that is responsible, transparent and aligned to risk appetite, regulatory obligations and strategic objectives. You will lead the enterprise view of AI risk by driving practical governance, inventory management, observability, assurance and reporting, while providing the clear, trusted insights that enable confident executive and committee-level decision-making. Working across business, technology, data, security and risk stakeholders, you will influence how AI risk is understood, governed and embedded across the organisation. This is an opportunity to have genuine enterprise-wide impact, strengthening oversight, uplifting frameworks and controls, and helping build a mature AI risk-aware culture that supports innovation while protecting customers, data and the business. What you'll bring to the role You will bring significant experience in enterprise risk, operational risk, compliance or governance within complex, highly regulated environments, along with capability in leading AI risk, responsible AI or AI governance initiatives. You’ll know how to build and uplift frameworks, policies, standards, controls and reporting and you’ll be confident balancing regulatory expectations, business priorities and practical implementation considerations. You’ll also bring strong executive communication and stakeholder engagement skills, with the ability to translate complex AI and risk topics into clear, decision-useful insights for senior audiences. Success in this role will come from your strategic thinking, sound judgement, analytical strength and ability to influence across diverse stakeholder groups, as well as your capacity to foster awareness, accountability and strong risk-based decision-making in an evolving AI landscape. You’ll thrive here if… If you can adapt from BAU to the ambiguous with ease, you’ll do well here. Change is never easy, so bring your commitment, grit and growth mindset. Because we run lean, you’ll be expected to jump in and deliver across a variety of areas. Meaning, you’ll be closer to the action and executive decisions that influence where we go next. If you’re someone that can hold their own, you’ll find AMP quite liberating. Why we think you’ll love working at AMP Doing what we’ve always done is not an option, so your clever ideas will get airtime here. You’ll be encouraged to speak up and try new things. If they don’t work, we move on – better for it. We know there’s no one way of doing things. So, you won’t have to sacrifice who you are or how you work to fit in here. We’re inclusive and flexible in many of the ways you’d expect. And in some of the ways you wouldn’t. As long as your health and wellbeing come first - at home and at work. In fact, most of what makes AMP such a welcoming, enjoyable place to work are our people. Wherever you go, you’ll find moments to connect, feel valued and do meaningful work. Whether it’s through our first-class leaders who are invested in you and your success. Through year-round opportunities to volunteer, fundraise and give back to the community. Or in the everyday challenges you face as we work together to strengthen this great organisation. Challenges that will stretch you, amplify your potential and compound the impact you have. We believe in the power of inclusion and diversity We’re dedicated to fostering inclusion, diversity, and a warm feeling of belonging at AMP. It sparks creativity, ignites innovation, and turns up the dial on the quality of our decisions and performance. This not only makes our workplace more engaged, but also leads to better connections with our customers. We're your allies in the search for the perfect fit - when you apply, let us know how we can support you to put your best self forward during our selection process. We're also committed to enhancing employment opportunities for Aboriginal and Torres Strait Islander people, so we enthusiastically encourage candidates from these backgrounds to apply and explore our Reconciliation Plan on our website Ready to create your tomorrow? If you’re someone who sees opportunity where others see challenge, come and work with us in smart, progressive ways as we transform an iconic Australian brand for the future. And, through a series of career-defining moments, create your own tomorrow. Don’t procrastinate! We review applications when we get them, and if we discover the ideal candidate, we may close the role earlier than the advertised close date.

Company Description Join us in shaping the future of the insurance industry, driven by innovation and a 150-year legacy of protecting people Enjoy work-life balance with flexible working options, and well-being initiatives that prioritise your health Work alongside diverse, passionate colleagues and leaders who inspire, support, and value your contributions. At TAL, we’re supported to live our best lives. With flexible and blended working options, discounted insurance, and wellbeing initiatives, we know we’re valued. You’ll work alongside some of the brightest and most capable colleagues in the industry, with leaders who inspire, support, and include everyone. We foster a culture where everyone belongs. Collaborating in person strengthens our social bonds and powers better problem-solving. Together, we face challenges and grow stronger. We connect to include, celebrate, reward, and recognise each other. Job Description We’re shaping the future of insurance by embracing AI responsibly to deliver better outcomes for our customers. As an AI Governance Specialist, you’ll play a pivotal role at the intersection of innovation and trust, ensuring our claims solutions are designed, deployed and managed with integrity at every stage. By embedding robust governance across the AI lifecycle, you’ll empower our teams to innovate with confidence, protect customer outcomes, and strengthen the foundations of a more resilient, transparent and future-ready business. In this role, you will: Embed end-to-end AI governance across Claims to enable safe, scalable innovation Identify and mitigate model, data and ethical risks to protect customer and business outcomes Enable compliant AI adoption by aligning initiatives with risk appetite and regulatory expectations Partner with cross-functional teams to integrate governance into AI design, build and deployment Establish and monitor effective controls to ensure ongoing model performance and reliability Deliver actionable insights and uplift capability to strengthen AI risk maturity across Claims Qualifications Minimum 5 years' experience in operational risk, model risk, data governance, or AI governance, preferably within financial services or insurance Apply practical knowledge of AI, data or model risk to support responsible innovation Communicate complex technical concepts in a clear, accessible way for diverse audiences Build strong relationships to influence outcomes and embed effective governance practices Use critical thinking and sound judgement to identify risks and inform balanced decisions Demonstrate curiosity and adaptability in a fast-evolving technology and regulatory landscape Act with integrity and a strong customer focus, championing fairness, accountability and trust Additional Information TAL is one of Australia’s leading life insurers, committed to inclusion, and supporting the career growth of our diverse workforce. We’re proud to be: An Inclusive Employer – Recognised as Employer of Choice for Gender Equality by the Workplace Gender Equality Agency and Bronze Tier Status within the Australian Workplace Equality Index Diversity Champions – Member of Diversity Council Australia, Australian Disability Network, Pride in Diversity and Champions of Change Reconciliation Advocates – Read our Innovate Reconciliation Action Plan. We welcome applications from people with diverse experiences, perspectives and backgrounds including Aboriginal and Torres Strait Islander people, caregivers, individuals living with disabilities, people from culturally diverse backgrounds and the LGBTIQ+ community. Need adjustments during the recruitment process? Let our team know by getting in touch with us here.—we’re here to support you. You’re always accountable for your actions. You never give up. You strive to find the best outcomes for customers and partners. And you value working together to find the best solutions for problems. As part of the recruitment process, there are several checks which may be conducted to demonstrate your eligibility for a role at TAL including Criminal History, Bankruptcy, Entitlement to Work, Regulatory and Reference Checks. #LI-Hybrid Everyone at TAL has a responsibility to do the right thing and is accountable for the way they conduct themselves. Our expectations are that you follow the principles set out in our Code of Conduct when you come to work every day. Risk management is everyone’s responsibility. If you are already a TAL employee please apply via the SmartRecruiters button in Workday and navigate to the Employee Portal. This is important to ensure that your application is recorded accurately.

Manages, directs, and supervises staff responsible for AI Risk Governance activities, and implements policies and tactical plans relative to the governance, oversight, and management of AI-related risks. Manages one or more processes related to the identification, assessment, control, and ongoing monitoring of AI use cases across the enterprise, including AI lifecycle governance, risk assessment execution, and inventory management. Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. * FORTUNE 100 Best Companies to Work For® 2025 * Yello and WayUp Top 100 Internship Programs * Computerworld® Best Places to Work in IT * Newsweek Most Loved Workplaces * 2025 PEOPLE® Companies That Care * Newsweek Most Trustworthy Companies in America * Military Times 2025 Best for Vets Employers * Best Companies for Latinos to Work for 2025 * Forbes® 2025 America’s Best Large Employers * Forbes® 2025 America's Best Employers for New Grads * Forbes® 2025 America's Best Employers for Tech Workers * 2025 RippleMatch Campus Forward Award Winner for Overall Excellence * Military.com Top Military Spouse Employers 2025 * 2025 Handshake Early Talent Award From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law. Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at [email protected] or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status. Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page [https://fa-etbx-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/nfcu/pages/employee-benefits] of the Navy Federal Career Site. Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. We are looking for a French-Speaking AI Evaluation Specialist to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you’ll help assess and improve the quality of AI-generated responses. You will analyze how AI systems interpret and respond to real user queries in French, ensuring outputs are accurate, relevant, and culturally appropriate. This is not a translation role—it’s focused on evaluating how AI understands and communicates in French. Responsibilities: Evaluate and compare AI-generated responses in French Perform side-by-side analysis of outputs from different AI systems Assess responses for accuracy, relevance, clarity, and instruction-following Identify nuances in meaning, tone, and cultural context Apply structured annotation guidelines consistently Work with datasets of real user queries Qualifications: Native or professional fluency in French Strong English reading comprehension Analytical thinking and attention to detail Experience with structured evaluation or guidelines Preferred Qualifications: Background in linguistics, translation, or localization Experience with data annotation, AI evaluation, or search relevance Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $30.00 to $35.00 USD/hour, with a midpoint of $32.50 USD/hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [email protected] Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote - USA

Benefits: 401(k) matching Competitive salary Health insurance Paid time off About this Role: We are seeking a seasoned AI Governance & Strategy Advisor to support a federal health and human services agency client during a critical moment in its AI modernization journey. This is a senior advisory role operating at the intersection of strategy, data, architecture, and policy — helping the agency define where it is going with AI, how it will govern the journey, and what it will build first. Among the near-term priorities is expanding digital resources for young adults transitioning out of foster care — including AI-enabled conversational tools and life-decision planning platforms. You will help shape what those tools look like, what they require, and how they get built responsibly. This role is focused on requirements, strategy, and governance — not coding or deployment. You will work closely with program leadership, technical staff, and political stakeholders to produce the artifacts and frameworks that enable a delivery team to execute. Key Responsibilities: • Assess the agency's current AI posture — cataloging prior initiatives, existing capabilities, and gaps relative to mission needs. • Define enterprise-level AI requirements in collaboration with program offices, technical staff, and leadership. • Develop a phased implementation roadmap accounting for organizational readiness, policy requirements, and program priorities. • Produce strategy artifacts — capability assessments, roadmaps, decision briefs — suitable for CIO and executive review. • Design governance structures for AI lifecycle management including model review, red-flag detection, security review, and accountability controls. • Establish standards consistent with OMB AI policy guidance, the NIST AI Risk Management Framework, and agency-specific policy requirements. • Identify and document risk considerations — bias, data quality, security, privacy — with recommended mitigations. • Evaluate existing data infrastructure and workflows to identify AI-ready datasets and integration opportunities. • Provide architectural guidance for AI-enabled digital platforms, including web-based citizen-facing tools. • Support product design decisions for AI-assisted features such as chatbot functionality and life-decision planning tools. • Serve as a bridge between technical staff and program/political leadership — translating strategy into terms that drive decisions. • Maintain continuity of the agency's AI program posture during an active leadership transition. • Coordinate with delivery contractors to ensure requirements are well-defined and implementable. • Facilitate discovery sessions and working groups to build internal alignment on AI direction and priorities. Qualifications and Skills: • Demonstrated experience designing and implementing enterprise AI strategies within large, complex organizations — including federal agencies or comparably regulated environments. • Proven track record modernizing digital platforms to enable AI integration and deliver improved user outcomes. • Hands-on experience with AI tools and techniques including machine learning, natural language processing, and deep learning. • Strong working knowledge of AI governance frameworks: OMB AI policy guidance, the NIST AI RMF, and federal data governance standards. • Experience conducting AI capability assessments and producing executive-level strategy and requirements documentation. • Ability to engage effectively across technical and non-technical stakeholder communities, including senior leadership and program offices. • Eligibility to obtain and hold a Public Trust position. Desired Skills and Competencies: • Prior experience supporting HHS, ACF, or a comparable human services agency in an IT or AI advisory capacity. • Background with AI Center of Excellence models, including workshop facilitation, AI lab design, and government-industry partnerships. • Experience in AI risk management, including neural network governance, bias detection, and responsible AI principles. • Familiarity with AI applications for web-based digital services or citizen-facing platforms. • Knowledge of GSA MAS or similar government contract vehicles. Equal Opportunity Employer: We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. Flexible work from home options available.

About Cyera Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security. About the Role Earlier this year, Cyera established an entirely new group with a singular focus: Enabling our customers to safely adopt AI. Not just secure AI use after the fact - but discover it, govern it, and protect it end to end. You'll join this group as we define what enterprise-grade AI security looks like from scratch. The work spans detection and classification of AI usage across the enterprise, governance frameworks for AI agents and models, and the controls that let security teams move as fast as the technology they're protecting against. The market is moving fast - new models, new attack surfaces, new regulatory pressures, new customer needs - and keeping up isn't optional. You'll need to live at the edge of what's happening, synthesize signal from noise, and turn it into product decisions before others have even framed the question. This is a rare role: Deeply strategic, deeply technical, and deeply consequential. What You’ll Do You'll own product initiatives across the AI security lifecycle - from how enterprises discover AI sprawl across their environments, to how they govern AI agent behavior, to how they enforce data protection in a world where models are the new attack surface. You'll work across the full spectrum: partnering with world-class R&D teams pushing the boundaries of what's technically possible, engaging CISOs and security architects at Fortune 500 companies globally to understand real-world constraints, and collaborating with GTM to translate customer needs into product direction. The environment is fast, sometimes chaotic, and genuinely exciting - the kind of place where the problem space shifts under your feet and that's a feature, not a bug. Requirements Who You Are Must-Haves You have a strong track record in B2B product management - ideally in security, data, or enterprise SaaS - but specific knowledge of any of these domains is less critical than authentic curiosity and a proven track record of building great products in a dynamic environment. Exceptional product taste and passion for creating delightful product experiences. You understand how large organizations actually operate: The compliance pressures, the procurement cycles, the gap between what security teams want and what they can deploy. You have a clear point of view on AI and where enterprise security is headed. You're as comfortable in a whiteboard session with an enterprise architect as you are deep in a research paper because something just dropped that changes everything. You thrive on ambiguity, move with urgency, and find energy in the pace rather than fighting it. You are excited about the opportunity to join a team of high performers in a high pressure environment and take an active role in contributing to the success of Cyera and our customers. Why Join Us? At Cyera, we own what we build and how we work. Cyerans are empowered to take initiative, move quickly, and turn ideas into impact. We push boundaries by challenging the status quo, learning fast, and continuously raising the bar - for ourselves and for the industry. We elevate together by lifting each other up, celebrating wins as a team, and recognizing that our success is shared. Feel free to apply even if your experience doesn’t tick every box. We’re building something special here—and we welcome Cyerans with diverse backgrounds, perspectives, and experiences. Location Requirements null

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, finance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description The Fraud Analytics and Commercialization team drives Experian's fraud analytics business through four integrated functions: pre-sales engagement, scalable and custom solutions, consulting, and operational enablement, with the goal of becoming the industry's provider-of-choice. We're looking for a Senior Analyst, Analytics Development and Model Governance, with a foundation in statistics and applied machine learning across the full modeling lifecycle, from initial development through validation, deployment, and ongoing governance, to join our Fraud Analytics team. As the ideal candidate, you are as comfortable interrogating model performance as building and refining models, take pride in the standards that keep production models trustworthy, and communicate findings to both technical and non-technical audiences. Core skills include navigating ambiguity, an impact-focused mindset, critical thinking, empathy, humility, and an eagerness to collaborate with data scientists, engineers, and product partners. You will be curious about the latest tools and AI solutions, evaluate their potential, and help bring the best of them into the team's workflows. Candidates who have taken an unconventional path and demonstrated the curiosity to figure things out without a blueprint will find this role and this team to be a good fit. You will report to the Data Modeling Director. You'll have the opportunity to: Develop, validate, and optimize statistical and machine learning models, including regression and XGBoost, to detect and prevent fraud. Design and implement features to improve model performance and stability. Build tools and frameworks to support scalable model development, evaluation, and monitoring. Evaluate model performance and conduct comparative analyses across approaches. Perform exploratory data analysis and assess data quality across diverse datasets. Enrich and integrate data from internal and external sources. Package, deploy, and support models in production environments. Conduct model governance activities, including validation, documentation, and ongoing monitoring. Produce reports, visualizations, and summaries to support decision-making. Qualifications 2+ years of experience in data science, analytics, or a related field Degree (undergraduate or graduate) in Statistics, Applied Mathematics, Econometrics, or another quantitative discipline, or an equivalent combination of education and experience. Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas. Solid foundation in statistics and machine learning best practices. Experience with regression, XGBoost, and other core ML algorithms. Hands-on experience across the full model lifecycle: data ingestion, EDA, modeling, validation, and deployment. Experience building or supporting model development tools or pipelines. Familiarity with model governance frameworks covering validation, monitoring, and documentation. Experience communicating analytical concepts to diverse audiences. Experience working with large-scale data processing frameworks such as Spark. Proficiency in UNIX/Linux environments and scripting, including Bash. Familiarity with object-oriented programming principles. Exposure to cloud platforms (AWS preferred). Experience debugging or supporting production systems; bonus: Java familiarity. Additional Information Benefits/Perks: Great compensation package and bonus plan. Core benefits including medical, dental, vision, and matching 401K. Flexible work environment, ability to work remote, hybrid or in-office. Flexible time off including volunteer time off, vacation, sick and 12-paid holidays. Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html. At Experian, our people and culture set us apart. We're committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our careers site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote This is a remote position. Employee Status: Regular Role Type: Hub Job Posting - Salary Range: $89,865 - $155,767 Department: Analytics Schedule: Full Time Compensation: USD 89865 - USD 155767 - yearly

Grade Level: L3 Location: Islamabad Last date to apply: 24 June 2026 What is Lead Governance & Responsible AI? We are seeking a strategic governance expert to establish and lead JazzWorld's Responsible AI framework. The Lead Governance & Responsible AI will define and govern JazzWorld's AI solutions to ensure they are secure, ethical, transparent, compliant, and aligned with organizational and regulatory requirements. This role requires strong expertise in AI governance, risk management, compliance frameworks, and stakeholder engagement. The Lead Governance & Responsible AI will partner with Legal, Risk, Security, and Technology teams to build comprehensive governance mechanisms, conduct risk assessments, and drive organization-wide awareness of responsible AI principles. What does Lead Governance & Responsible AI do? · Define enterprise Responsible AI policies, standards, and governance mechanisms. · Establish AI risk management, model assurance, and compliance frameworks. · Develop controls for fairness, explainability, privacy, transparency, and accountability in AI systems. · Conduct governance reviews and risk assessments for AI initiatives across the enterprise. · Monitor evolving AI regulations and regulatory landscape to ensure organizational compliance. · Partner with Legal, Risk, Security, and Technology teams on AI governance and compliance matters. · Drive awareness and adoption of Responsible AI principles across the organization. What are we looking for and what does it require to be Lead Governance & Responsible AI? · 8+ years of experience in AI governance, risk management, cybersecurity, compliance, data governance, or related fields. · Strong understanding of AI/ML lifecycle, model risk, and regulatory frameworks (ISO, SOC 2, GDPR, etc.). · Proven experience designing governance and assurance frameworks at enterprise scale. · Strong policy development, stakeholder management, and executive communication skills. Why join JazzWorld? As a certified Top Employer, JazzWorld reflects workplace standards benchmarked against leading global organizations, demonstrating our commitment to creating an environment where people can thrive and perform at their best. Our teams are driven by the belief that every JazzWorld employee should be inspired to live better every day, enabled by forward-looking leadership, an open culture, meaningful work, and continuous opportunities to learn and grow. Our core values - Customer Obsession, Truthful, Innovation, Collaboration, and Entrepreneurial - shape how we think, decide, and lead. They encourage us to challenge convention, act with accountability, work as one team, and create solutions that truly matter for our customers and communities. As Pakistan's largest digital operator, JazzWorld serves over 100 million through connectivity, digital services, financial inclusion, entertainment, and insurance. Joining us means being part of transformation at a national scale; expanding access, unlocking opportunity, and building a more connected digital future. At JazzWorld, everything we do is rooted in one shared ambition. This purpose defines how we work, the progress we enable, and the difference we strive to make every day a Better Life For All.

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for an experienced Escalation Engineer to join our Customer Success team. This is a hybrid role based in Bangalore, you will report to the Escalation Manager. Our Customer Success Strategy & Operations team uses valuable data and market research to help our customers succeed and drive value. You'll be an integral part of solving challenges faced by our client-facing teams to help make Zscaler more efficient in meeting our customers' needs. What you’ll do (Role Expectations) Own and resolve the highest-severity technical escalations through deep analysis, ensuring fast resolution and managing the on-call rotation for critical issues Troubleshoot and resolve complex issues across Zscaler cloud security services, configuration, policy engines, APIs, and AI-assisted capabilities Investigate and resolve scenarios related to the secure use of AI models, governance of AI agents, data protection, and inference security Perform detailed log, telemetry, and packet-level analysis to identify the root cause, reproducing complex defects, providing engineering-ready bug reports, and validating fixes Drive cross-functional collaboration with Engineering, Cloud Ops, and Product Management, while also creating advanced troubleshooting documentation and acting as a technical mentor to uplift support capability Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) 4–10 years of deep technical support, cloud support engineering, or escalation engineering experience Strong understanding of AI model security, data governance, AI agent behavior, and safe enterprise deployment principles Proficiency with APIs, JSON, logging frameworks, Linux CLI, debugging tools, and cloud-based distributed systems Exposure to cloud platforms (AWS/GCP/Azure) and identity, policy, or proxy-based architectures Ability to reproduce complex issues, correlate across layers (client → edge → cloud), and articulate clear RCAs What Will Make You Stand Out (Preferred Qualifications) Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including knowledge of enterprise networking, TLS/SSL inspection, and authentication flows Familiarity with LLM-based system behavior, data leakage prevention in AI, and establishing model access policy controls Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments #LI-RR #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. About the team: The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through: An overarching Data & AI Policy to include associated standards Data & AI Governance including meta and master data management Data & AI Delivery Governance Data & AI Quality including both technical and business quality measures This enables the maturity of Data and AI capabilities across Booking.com, unlocking innovation and business value through leveraging data and AI. Role Description: The Data & AI Governance Architect role will report into the Data & AI Governance Solution Architect in the Data & AI Governance department in the CDO office. You will work with the teams in different business units across Booking.com to co-create the architecture solutions for data & AI governance across data & AI initiatives. You will be responsible for implementing best practice, supporting decision making and ensuring solutions are scalable, resilient, secure, compliant and fit for the future and that the Architecture Design Authority is run smoothly and continually improving its efficiency and alignment with industry standards. It will also be your responsibility to work with the Solution Architect to align the program to the broader technical and enterprise data & AI strategies. Ensuring that the solution is well positioned to connect with an ecosystem of platform capabilities that combine to connect the trip for our customers and partners in a secure, trusted and compliant manner. Depth of technical knowledge is an important aspect of this role. However, the ability to partner with and advise non-technical stakeholders is of equal importance. In this role you will partner with product and engineering counterparts and the broader Data Architecture community to understand future direction and utilize this in the creation of architecture solutions. Key Job Responsibilities and Duties: Deep understanding and hands-on experience designing, building, improving, and operating high-performance, high-availability, scalable and secure data storage, governance and consumption solutions that scale and adapt to strategy Ability to build an architecture that can respond quickly to new use cases - develop an understanding of our business and stakeholders to underpin this Contribute to data architecture governance and decision processes Proficiency in modeling canonical data asset for critical data entities, and in protecting and promoting their golden source status - quick to recognise when they need to evolve to stay golden and how they can integrate to mature data and governance capabilities Proven experience employing best in class technology to continually optimise the tech stack and tools strategy for the data & AI governance platform(s) Identification of bottlenecks within system design that impede delivery velocity Data driven nature, expect it in design, lead by example Demonstrable experience of cloud technology (AWS or similar) and designing cloud native systems Approachable & effective communicator, explain design and challenges in a way the audience understands Coaching and mentoring, building our architecture excellence systemically through the team Ability to drive impact at scale across a large data product & engineering organisation Desirable skills: Experience of building out modern data architectures Experience of Data Governance & engineering Continuous Delivery and Agile delivery methodologies Experience with Conceptual and Logical Data Modeling practices Experience of data vault modeling including Hub, Link, and Satellite structures, how to architect it well and how to build an effective consumption layer on top Experience of integrating siloed businesses or verticals with diverse data and standards Knowledge and experience of enterprise architecture practices and capability-based planning Knowledge and experience of Data & AI Governance and management and how to weave into data architecture effectively API design Handle data following strict privacy and compliance requirements Provide support for internal teams Qualifications & Skills: Responsible with the Solution Architect for the integrity and excellence of the CDO Data & AI Governance architecture and its value Partner with Data Architecture community to co-create group wide data architecture practices with localized implementation in BUs Craft and promote data architecture principles for the Data & AI Governance team - take accountability for embedding them in culture and design Continually strive for architectural simplicity. Design and promote canonical assets that serve multiple use cases and drive integration for data and for our business - manage technical debt wisely Collaborate with data modelling community to drive out data modelling standards with the business units Consider and manage cost and security risk in design and maintenance, assume overall responsibility for managing data & AI Governance platform costs within the CDO and Central Tech Collaborate with Compliance and data & AI governance on measuring and managing risks effectively Partner with senior engineers to assess and protect quality of solution design, bringing an enterprise perspective to the table and protecting simplicity of the asset estate Design and lead architecture review forums - formal and informal to nurture design excellence and maintain the integrity of the architecture principles Be flexible, find the balance in working with senior engineers to agree the best solution for urgent tactical needs while keeping the need to return to architecture principles on the roadmap Develop communities of practice to embed and evolve architecture ways of working and improve the quality of architectural decision making Create the culture, processes and principles that embed data quality and Governance by design. Lead and illustrate by example managing standardisation through templated documents and architectural artifacts. Critical Thinking: Identify patterns and underlying issues in complex situations, and to find solutions by applying logical and analytical thinking and guide more junior members of the team in this topic. Constructively evaluate and develop ideas, plans and solutions by reviewing them, objectively taking into account external knowledge, initiating 'SMART' improvements and articulating their rationale and guide more junior members of the team in this topic. Benefits & Perks - Global Impact, Personal Relevance: Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include: Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country) Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit Living and working in Amsterdam, one of the most cosmopolitan cities in Europe Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide Working in a fast-paced and performance driven culture Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit Promote and drive impactful and innovative engineering solutions Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com Diversity, Equity and Inclusion (DEI) at Booking.com: Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.” We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process: Let’s go places together: How we Hire This role does not come with relocation assistance. Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive. Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Deine Mission – das erwartet dich bei uns: Frameworks & Policies – Entwicklung, Pflege und Weiterentwicklung von AI‑Richtlinien, Standards, Rollenmodellen sowie Governance‑ und Entscheidungsprozessen entlang des gesamten AI Lifecycles, um einen regelkonformen und geschäftsorientierten AI‑Einsatz sicherzustellen. Prozesse & Operating Model – Dokumentation, Anwendung und kontinuierliche Verbesserung von AI‑Governance‑Prozessen sowie operative Unterstützung von Projekten und Fachbereichen bei deren Umsetzung im Alltag. Portfolio & Reporting – Aufbau und Pflege von Portfolio‑, KPI‑ und Management‑Reportings inklusive Dashboards, Auswertungen und Übersichten zu AI‑Tools, Use Cases und laufenden AI‑Initiativen. Trainings & Enablement – Konzeption und Durchführung von Trainings sowie Enablement‑Formaten im AI‑Governance‑Umfeld und aktive Mitarbeit beim Aufbau und der Moderation von Community‑Formaten zur Stärkung der AI‑Nutzung. Change & Beratung – Begleitung von Change‑ und Kommunikationsmaßnahmen zu neuen Data‑ und AI‑Prozessen und ‑Tools, Erstellung von Enablement‑Materialien sowie Beratung der Fachbereiche zu AI‑Governance, verantwortungsvollem AI‑Einsatz und Datenethik. Dein Profil – das bringst du mit: Abgeschlossenes fachbezogenes Hochschulstudium oder vergleichbare Kenntnisse und Erfahrungen durch einschlägige Berufspraxis. Mehrjährige einschlägige Berufserfahrung im Umfeld AI, Data, Analytics, Governance, Prozesse oder vergleichbaren Themenfeldern. Erfahrung in der Mitarbeit an Governance‑, Prozess‑ oder Framework‑Themen sowie in der operativen Umsetzung und Weiterentwicklung von Standards und Methoden. Fundierte Kenntnisse in AI‑ und AI‑Governance‑Konzepten, Prozessmanagement, Reporting, KPI‑Definition sowie grundlegendes Verständnis regulatorischer und Compliance‑naher Anforderungen. Erfahrung in funktionsübergreifender Zusammenarbeit, eigenständiger Bearbeitung klar abgegrenzter Themenpakete und idealerweise Zusatzqualifikationen in Moderation, Training, Change oder Projektmethoden. Bereit für deinen nächsten beruflichen Schritt? Wir freuen uns auf deine Bewerbung! Du bist an dieser Stelle interessiert, erfüllst aber nicht alle Anforderungen? Wir freuen uns trotzdem auf deine Bewerbung mit Anschreiben und Lebenslauf! Dein Kontakt im Recruiting ist: Rouken Kurt | SMA Solar Technology AG #SMA Solar Technology AG ∗ SMA steht für Chancengleichheit und Vielfalt – unabhängig von Geschlecht, Alter, Herkunft, Religion, Behinderung oder sexueller Orientierung.

What’s the Role: The Senior AI Security Engineer is a senior technical authority responsible for the development, delivery, and operation of enterprise-scale application security capabilities across the organisation. The role owns and maintains strategic security platforms and services, providing leadership across application security controls to ensure solutions are compliant, resilient, and fit for purpose. It enables secure software delivery at scale by embedding robust security practices within a complex, regulated technology environment while supporting the developer community Key Responsibilities: * Act as a hands-on technical authority for application security, providing expertise across modern security controls in enterprise environments. * Design and deliver application security solutions covering SAST, software composition analysis, secrets management, container security, and supply chain security. * Own and operate security platforms and services, ensuring they are compliant, resilient, and available to engineering teams. * Drive continuous improvement of security tooling, focusing on scalability, sustainability, and effectiveness across development platforms. * Partner with engineering and platform teams to embed security into developer workflows, enabling automated and repeatable outcomes. * Lead automation of vulnerability identification, remediation, and prevention, while supporting teams through practical security guidance and education. What do I need? * Proven ability to own and operate application security platforms end-to-end, ensuring availability, compliance, and ongoing effectiveness. * Strong track record delivering high-quality, reliable, and scalable application security solutions in enterprise environments. * Ability to make risk-based security decisions, balancing security requirements with engineering and delivery outcomes. * Experience defining and maintaining enterprise-wide security standards, patterns, and authoritative guidance. * Capability to identify and address systemic security risks and control gaps, with appropriate escalation where required. * Demonstrated impact in improving application security maturity, including reducing repeat vulnerabilities and strengthening early detection across the SDLC. Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button We’re all about creating a supportive and inclusive community. We welcome everyone no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].

Help shape the next generation of generative AI at Apple. We're hiring data scientists to work on ambitious projects that will influence the future of Apple, our products, and the people who use them every day. In this role, you'll apply product data science to the safety of Apple Intelligence — features like Siri, Image Playground and Genmoji, Writing Tools, Photos Clean Up, and many more on the way. As part of Apple's Responsible AI Team, you'll support generative AI features from early development through production, holding the line on quality, safety, fairness, inclusion, and user privacy. Your insights will directly shape how millions of people experience safety in Apple Intelligence. DESCRIPTION Apple's Responsible AI Team is the steward of product safety for Apple Intelligence. We set safety policy and partner with feature engineering teams to ensure every generative AI experience Apple ships reflects our values. Our work spans three pillars: human and automated red teaming; pre-ship safety evaluation and post-ship monitoring; and the design of safety mitigations — overrides, guardrail models, and base model safety alignment. This role brings the data science lens to all three. You'll uncover and characterize safety weaknesses for red teaming, ground evaluations in real-world usage signal, and measure the in-production performance of the mitigations we deploy. The is a role for someone who loves the full arc of applied data science: scientific investigation, careful interpretation, cross-functional collaboration, and crisp communication of what the numbers actually mean. MINIMUM QUALIFICATIONS MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field; or equivalent experience. Strong foundation in data science, analytics, and machine learning, including statistical analysis, A/B testing, and the full lifecycle of designing, running, and interpreting experiments. Strong programming skills in Python and at least one data-querying language (SQL, Spark, or similar). Comfort with AI-assisted development tools such as Claude Code, Codex, or Copilot. Track record of framing research and business questions, and answering them with the right statistical tools applied to messy real-world data. Excellent technical communication skills, with a proven ability to explain hard ideas (especially causal ones) to audiences ranging from fellow data scientists to engineers to executive partners. Willingness to work with highly sensitive material, including exposure to offensive and controversial content. PREFERRED QUALIFICATIONS Experience working in the Responsible AI space. Experience working with usage data from AI-powered products, and a current view on how these systems commonly fail. A record of scientific research and publication. Genuine curiosity about fairness and bias in generative AI, and a drive to make the technology more equitable.

Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy’s industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It’s both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary In the Engineering group, we are accelerating the product vision by building solutions in a fun, collaborative, efficient, and adaptive team. As an AI Evaluation Engineer, you will own the quality bar for Yes AI — defining what "correct" looks like when an AI answers a complex power market question, and building the frameworks to measure it at scale. This is a foundational role at the intersection of LLM engineering, domain expertise, and rigorous testing. You will also work directly on projects to integrate systems and serve energy data to customers. We are curious people who take pride in our work, value high-quality communication, and strive to improve continuously. Position Details Salary range: Net 16.000 - 19.000 RON/month Location: Bucharest, Romania Full-time Hybrid - Will be required to work in the office 2-3 days a week Reporting to: Engineering Manager Primary Responsibilities Own the evaluation strategy for Yes AI end-to-end — design, build, and continuously improve frameworks that measure the quality, accuracy, and reliability of LLM-powered outputs across natural language answers, data retrieval, and semantic context responses Develop benchmarks and automated test suites to detect hallucination, factual drift, and retrieval failures; set the quality bar for what "correct" means in power market AI Partner directly with domain experts and senior engineers to translate deep power market knowledge into rigorous, repeatable evaluation criteria Build and maintain scalable eval pipelines that run continuously against prompt changes, model updates, and Snowflake data changes — surfacing regressions before they reach customers Lead prompt engineering and RAG experimentation efforts, using evaluation results to drive measurable improvements in answer quality Influence engineering and product decisions by making AI quality visible and quantifiable — advocate for reliability as a first-class product requirement Help define the discipline of AI evaluation at Yes Energy; this is a foundational role with room to build process and tooling from scratch Minimum Qualifications Bachelor's degree in Computer Science, Data Science, Mathematics, or related field 5+ years of software engineering experience, with significant focus on testing, evaluation, quality systems, or AI/ML tooling Strong Python skills; experience building production-grade evaluation or testing pipelines Solid understanding of LLM evaluation concepts: benchmarking, hallucination detection, retrieval-augmented generation quality, and semantic similarity Experience designing and owning quality frameworks in ambiguous, fast-moving environments Ability to work closely with non-engineer subject matter experts to define and codify what "good" looks like Excellent judgment — knows when an eval result signals a real problem vs. noise Strong communicator; able to present quality findings clearly to technical and non-technical audiences Key Competencies / Preferred Qualifications Technical Execution & Engineering Tech: Hands-on experience with eval frameworks (RAGAS, LangSmith, PromptFlow) and proficiency in building production data pipelines using RAG or vector databases Problem Solving: Applies structured thinking and sound judgment to determine when an eval result signals a real problem versus noise in complex data sets Curious: Demonstrates an innate curiosity and a strong desire to learn the energy industry or apply experience from equities/commodities trading environments Stakeholder Focus: Rooted in listening to technical and non-technical business partners to define and translate deep operational requirements into codified test criteria Data Management & Quality: Background in data-intensive or highly regulated environments where answer accuracy is high-stakes and strict data governance is required Effective Communication: Strong written and verbal communication skills, adjusting delivery style seamlessly based on the technical depth of the audience At Yes Energy, we value connecting directly with candidates. We kindly ask that third-party recruiters and agencies not submit resumes, as we are not open to external recruiting partnerships. ABOUT YES ENERGY Overview Yes Energy delivers real-time market data and electric power trading decision solutions. Over 1,000 market participants use Yes Energy solutions daily. The business is a leader in all aspects of information content collection and management, developing and delivering data and market analytics solutions. Since its inception in 2008, Yes Energy has become a trusted and respected supplier of innovative and reliable solutions focused on the needs of power market analysts, traders, and trade managers. Yes Energy has a team of 400 amazing professionals in Boulder, CO (HQ); Boston, MA; Chicago, IL; Glendora, CA; Richmond, VA; London, United Kingdom; Auckland, New Zealand; and Bucharest, Romania. Culture Yes Energy has been named one of the Best Places to Work in Colorado, and we have the culture to prove it. At Yes Energy, we care about saying “Yes” to customers. We like to listen, learn, and develop our solutions in line with their needs. We think about customers as business partners, and when we help them be more successful … we are more successful, too. Around the office, our culture is driven by some pretty fundamental values that we’re proud of: We love innovation and solving tough challenges; We are “high standards people” who combine passion and pride with hard work and rewards of all kinds-- in an ethic that is consistent across the company. We’re team-focused with a flat hierarchy-- we work in small teams on well-defined projects that directly impact the success of the business; We play to the strengths and experience of each person while each of us also works along a continuum of roles adjacent to our focus area. This presents the challenge of maintaining a broad set of skills as well as an opportunity to learn and contribute in many ways. We are constantly growing. Professional development happens every day and every year. Compensation and Benefits We offer highly competitive salaries and real bonuses that are achievable and that you can impact. Our benefits package includes private medical insurance, wellness/gym benefits, flexible vacation, and flexible work schedules. Yes Energy encourages and funds investment in both formal and informal professional development. At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience doesn’t perfectly align with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Yes Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Yes Energy complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are seeking a highly experienced and skilled AI Governance & Data Privacy General Counsel to join our legal team and serve as a strategic legal partner to the business, providing critical regulatory guidance across product and engagement lifecycles and helping the business anticipate and manage complex regulatory risk in an increasingly dynamic environment. This role sits at the intersection of AI innovation, data privacy, and enterprise risk management, enabling responsible AI adoption and data privacy compliance across internal operations, products, and third-party solutions. The position carries primarily strategic responsibility with execution responsibilities as needed—shaping enterprise policies and governance, partnering with legal, compliance, engineering, cybersecurity, product, and commercial teams to enable growth, and proactively managing day-to-day legal and regulatory risk in highly regulated environments. Honeywell is seeking a senior, established thought leader who can provide global practical risk-based guidance, influence stakeholders, and drive measurable outcomes through practical implementation as needed. You will report directly to our VP & GC Data Privacy and you’ll work out of our Charlotte, NC OR Washington, DC locations on a hybrid work schedule. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Company Description Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers. Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026. Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues. Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets. Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America’s Best Companies and by U.S. News & World Report as one of the Best Financial Services Companies to Work For. Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer. Workplace Posters | U.S. Department of Labor [https://www.dol.gov/general/topics/posters] Group Details Tradeweb is seeking a mid level Compliance Officer with expertise in data privacy, privacy by design, and AI governance to lead the organization’s efforts in embedding privacy and privacy related AI practices across business operations. This role will champion compliance with global privacy laws (e.g., GDPR, CCPA), drive privacy by design in product and process development, and guide responsible adoption of AI technologies. The ideal candidate is a proactive advisor who can integrate privacy and privacy related AI considerations into the entire data lifecycle.. Job Responsibilities Privacy and Data Protection * Serve as a subject matter expert on global data protection frameworks (GDPR, CCPA, ePrivacy, LGPD, etc.) and monitor emerging legislation. * Embed privacy by design and by default principles into systems, processes, and new initiatives. * Lead and advise on Data Protection Impact Assessments (DPIAs) and risk assessments for emerging technologies. * Review and draft data-sharing agreements, privacy notices, consent frameworks, and cross-border transfer mechanisms. * Oversee data subject rights request processes and coordinate effective incident response planning. * Partner with technology teams to establish privacy engineering controls and implement robust technical and organizational safeguards. * Advise on data retention, minimization, and destruction practices in line with regulatory requirements. AI Governance * Collaborate with Business, Technology, and Legal stakeholders to evaluate AI use cases for compliance with privacy and regulatory standards. * Assist in developing and maintaining governance documentation for AI systems, including model accountability, explainability, and fairness reviews. * Advise on global regulatory developments (e.g., EU AI Act readiness, U.S. Executive Orders, OECD principles) and prepare the organization for compliance. * Promote an internal “responsible AI” culture, balancing innovation with accountability. Cross-Functional Collaboration * Partner with Legal, Information Security, IT, HR, and Risk teams to operationalize privacy and AI governance controls. * Maintain Records of Processing Activities (RoPAs) and ensure audit readiness. * Act as a trusted advisor to senior management on emerging risks and regulatory expectations. Qualifications * Bachelor’s degree required; JD, CIPP/E, CIPM, or other recognized privacy certifications preferred. * 5–7 years of experience in privacy, compliance, or related regulatory/legal roles. * Proven expertise in privacy by design implementation and privacy risk assessments. * In-depth knowledge of GDPR and global privacy laws, plus practical experience operationalizing compliance programs. * Familiarity with AI governance frameworks, algorithmic risk management, and regulatory standards around automated decision-making. * Strong interpersonal and communication skills, with the ability to influence across technical and non-technical stakeholders. Preferred Attributes * Experience in financial services or other highly regulated industries. * Knowledge of AI regulatory developments. * Ability to thrive in a fast-paced, high-stakes environment while managing competing priorities. * Demonstrated thought leadership in privacy innovation and emerging technologies Additional Information Tradeweb is committed to providing valuable and competitive benefits. In addition to working in our culture of innovation and collaboration, we offer: * Health Insurance: Highly competitive medical, dental, and vision programs * Hybrid Environment: Our employees have the flexibility of working in the office and from home. * Health Care and Dependent Care Flexible Spending Accounts: You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members. * Maven Family Building Benefit: Maven offers support for fertility and preconception; pregnancy and post-partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provide a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption and surrogacy expenses. * Building Wealth - 401(k) Savings Plan: Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute. * The current pay range for this role is currently $105,000-$235,000 per year, based on a regular, full-time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, and internal guidelines. * This role will also be eligible to participate in Tradeweb’s discretionary bonus program. Other Benefit Programs * Pre-Tax Commuter Benefits Program * ARAG Legal Services * Employee Assistance Program * Tuition Reimbursement * Financial Wellness Tools * Travel Assistance Benefits * Pet Insurance * Corporate Gym Subsidies * Wellness Perks * Paid Time Off and Parental Leave * #LI-KH

Company Description Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers. Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026. Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues. Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets. Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America’s Best Companies and by U.S. News & World Report as one of the Best Financial Services Companies to Work For. Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer. Workplace Posters | U.S. Department of Labor [https://www.dol.gov/general/topics/posters] Group Details Tradeweb is seeking a mid level Compliance Officer with expertise in data privacy, privacy by design, and AI governance to lead the organization’s efforts in embedding privacy and privacy related AI practices across business operations. This role will champion compliance with global privacy laws (e.g., GDPR, CCPA), drive privacy by design in product and process development, and guide responsible adoption of AI technologies. The ideal candidate is a proactive advisor who can integrate privacy and privacy related AI considerations into the entire data lifecycle.. Job Responsibilities Privacy and Data Protection * Serve as a subject matter expert on global data protection frameworks (GDPR, CCPA, ePrivacy, LGPD, etc.) and monitor emerging legislation. * Embed privacy by design and by default principles into systems, processes, and new initiatives. * Lead and advise on Data Protection Impact Assessments (DPIAs) and risk assessments for emerging technologies. * Review and draft data-sharing agreements, privacy notices, consent frameworks, and cross-border transfer mechanisms. * Oversee data subject rights request processes and coordinate effective incident response planning. * Partner with technology teams to establish privacy engineering controls and implement robust technical and organizational safeguards. * Advise on data retention, minimization, and destruction practices in line with regulatory requirements. AI Governance * Collaborate with Business, Technology, and Legal stakeholders to evaluate AI use cases for compliance with privacy and regulatory standards. * Assist in developing and maintaining governance documentation for AI systems, including model accountability, explainability, and fairness reviews. * Advise on global regulatory developments (e.g., EU AI Act readiness, U.S. Executive Orders, OECD principles) and prepare the organization for compliance. * Promote an internal “responsible AI” culture, balancing innovation with accountability. Cross-Functional Collaboration * Partner with Legal, Information Security, IT, HR, and Risk teams to operationalize privacy and AI governance controls. * Maintain Records of Processing Activities (RoPAs) and ensure audit readiness. * Act as a trusted advisor to senior management on emerging risks and regulatory expectations. Qualifications * Bachelor’s degree required; JD, CIPP/E, CIPM, or other recognized privacy certifications preferred. * 5–7 years of experience in privacy, compliance, or related regulatory/legal roles. * Proven expertise in privacy by design implementation and privacy risk assessments. * In-depth knowledge of GDPR and global privacy laws, plus practical experience operationalizing compliance programs. * Familiarity with AI governance frameworks, algorithmic risk management, and regulatory standards around automated decision-making. * Strong interpersonal and communication skills, with the ability to influence across technical and non-technical stakeholders. Preferred Attributes * Experience in financial services or other highly regulated industries. * Knowledge of AI regulatory developments. * Ability to thrive in a fast-paced, high-stakes environment while managing competing priorities. * Demonstrated thought leadership in privacy innovation and emerging technologies Additional Information Tradeweb is committed to providing valuable and competitive benefits. In addition to working in our culture of innovation and collaboration, we offer: * Health Insurance: Highly competitive medical, dental, and vision programs * Hybrid Environment: Our employees have the flexibility of working in the office and from home. * Health Care and Dependent Care Flexible Spending Accounts: You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members. * Maven Family Building Benefit: Maven offers support for fertility and preconception; pregnancy and post-partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provide a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption and surrogacy expenses. * Building Wealth - 401(k) Savings Plan: Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute. * The current pay range for this role is currently $105,000-$235,000 per year, based on a regular, full-time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, and internal guidelines. * This role will also be eligible to participate in Tradeweb’s discretionary bonus program. Other Benefit Programs * Pre-Tax Commuter Benefits Program * ARAG Legal Services * Employee Assistance Program * Tuition Reimbursement * Financial Wellness Tools * Travel Assistance Benefits * Pet Insurance * Corporate Gym Subsidies * Wellness Perks * Paid Time Off and Parental Leave * #LI-KH

Description AXA Ireland are recruiting for a new role as Data & AI Governance Senior Manager, who will play a pivotal role in shaping and executing our data strategy while ensuring data is managed as a trusted, strategic asset across the organisation. Reporting into our Chief Data Officer, you will lead the development and execution of a comprehensive data strategy, ensuring that data is not just well governed, but also effectively leveraged to drive business transformation, innovation, and competitive advantage. You will design and embed a robust data governance framework that ensures high quality, accessible, and compliant data, while also leading initiatives that enhance data culture, enabling self-service analytics, and support AI-driven decision making. This role requires a strategic mindset with the ability to connect governance, analytics, and business objectives, ensuring AXA Ireland maximised the value of its data assets. You will work closely with senior leaders, business units, and technical teams to define and implement data policies, standards, and best practices that align with AXA’s vision and regulatory requirements. At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work majority of your week away from home. Away from home means either attendance at one of our head office locations, visiting clients or attending industry events. What you’ll be doing: Develop and drive AXA Ireland’s data strategy, ensuring data is leveraged to enable business transformation, innovation, and competitive differentiation. Develop, implement, and maintain a comprehensive data governance strategy & framework, including policies, standards, and controls for AXA Ireland. Establish and monitor data quality metrics, ensuring alignment with business goals and compliance requirements. Lead the rollout of data ownership and stewardship models, ensuring clarity of roles and responsibilities across the organisation. Manage data cataloguing, metadata management, and data lineage tools. Partner with the Data & Analytics team to ensure data assets are governed effectively across their lifecycle. Contribute to data governance initiatives that drive operational efficiency and reduce risks associated with ineffective data management. Support business units in ensuring cost-effective data governance solutions are implemented. About You/What we’re looking for: 7 + years of experience in strategy, data governance, data management, data strategy, or related role. A degree in Business, IT, Computer Science, or a related field; with a Data Management or Data Governance certification (e.g., DAMA CDMP, DCAM, Collibra Ranger Certification) beneficial. Proven track record of implementing data governance frameworks and policies in large organisations. Experience leading, developing and managing a team. Familiarity with data management tools (e.g., Collibra, Informatica, Alation). Strong understanding of data privacy regulations (e.g., GDPR) and In-depth knowledge of data governance frameworks (e.g., DAMA-DMBOK). Expertise in data quality management practices, data risk management and control frameworks. Ability to design and implement data governance policies and standards. Strong stakeholder management and collaboration skills. Must meet internal criteria as set out in Recruitment & Selection Policy available on intranet. This is a CF1 role allocated Controlled Function under Fitness & Probity Regime, which means the successful candidate will be subject to an enhanced level of background screening requirements. You can find more information on axa.ie/careers. This recruitment campaign will be used to support permanent, temporary and/or extension for any upcoming similar positions.

Description AXA Ireland are recruiting for a new role as Data & AI Governance Senior Manager, who will play a pivotal role in shaping and executing our data strategy while ensuring data is managed as a trusted, strategic asset across the organisation. Reporting into our Chief Data Officer, you will lead the development and execution of a comprehensive data strategy, ensuring that data is not just well governed, but also effectively leveraged to drive business transformation, innovation, and competitive advantage. You will design and embed a robust data governance framework that ensures high quality, accessible, and compliant data, while also leading initiatives that enhance data culture, enabling self-service analytics, and support AI-driven decision making. This role requires a strategic mindset with the ability to connect governance, analytics, and business objectives, ensuring AXA Ireland maximised the value of its data assets. You will work closely with senior leaders, business units, and technical teams to define and implement data policies, standards, and best practices that align with AXA’s vision and regulatory requirements. At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work majority of your week away from home. Away from home means either attendance at one of our head office locations, visiting clients or attending industry events. What you’ll be doing: Develop and drive AXA Ireland’s data strategy, ensuring data is leveraged to enable business transformation, innovation, and competitive differentiation. Develop, implement, and maintain a comprehensive data governance strategy & framework, including policies, standards, and controls for AXA Ireland. Establish and monitor data quality metrics, ensuring alignment with business goals and compliance requirements. Lead the rollout of data ownership and stewardship models, ensuring clarity of roles and responsibilities across the organisation. Manage data cataloguing, metadata management, and data lineage tools. Partner with the Data & Analytics team to ensure data assets are governed effectively across their lifecycle. Contribute to data governance initiatives that drive operational efficiency and reduce risks associated with ineffective data management. Support business units in ensuring cost-effective data governance solutions are implemented. About You/What we’re looking for: 7 + years of experience in strategy, data governance, data management, data strategy, or related role. A degree in Business, IT, Computer Science, or a related field; with a Data Management or Data Governance certification (e.g., DAMA CDMP, DCAM, Collibra Ranger Certification) beneficial. Proven track record of implementing data governance frameworks and policies in large organisations. Experience leading, developing and managing a team. Familiarity with data management tools (e.g., Collibra, Informatica, Alation). Strong understanding of data privacy regulations (e.g., GDPR) and In-depth knowledge of data governance frameworks (e.g., DAMA-DMBOK). Expertise in data quality management practices, data risk management and control frameworks. Ability to design and implement data governance policies and standards. Strong stakeholder management and collaboration skills. Must meet internal criteria as set out in Recruitment & Selection Policy available on intranet. This is a CF1 role allocated Controlled Function under Fitness & Probity Regime, which means the successful candidate will be subject to an enhanced level of background screening requirements. You can find more information on axa.ie/careers. This recruitment campaign will be used to support permanent, temporary and/or extension for any upcoming similar positions.

Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role We are seeking an experienced AI Security Architect to establish security guardrails and governance frameworks for artificial intelligence deployment across our organization. This critical role will work directly with the AI business deployment team to develop standards, controls, and best practices that enable safe and responsible AI usage at both the employee and developer levels. As we build our AI corporate strategy from the ground up, you will be instrumental in shaping how our organization securely leverages AI technologies while protecting customer data, ensuring regulatory compliance, and mitigating emerging AI-related risks. Duration: 6 Months, Contract (potential to extend or convert) Responsibilities Design and implement comprehensive AI security architecture, including governance frameworks, data protection controls, model security standards, and usage policies for enterprise AI systems Collaborate with the AI business deployment team to establish security requirements and controls for AI applications, ensuring alignment between business objectives and security standards Develop and enforce AI usage policies and security guardrails for employees, including guidelines for acceptable use of generative AI tools, prompt engineering security, and data sharing restrictions Establish security standards and best practices for AI/ML development teams, covering model training security, data pipeline protection, API security, and secure model deployment Conduct AI-specific threat modeling and risk assessments, identifying vulnerabilities such as prompt injection, data poisoning, model theft, adversarial attacks, and privacy leakage Define data classification and handling requirements for AI systems, ensuring sensitive customer information and personally identifiable information are appropriately protected in training datasets and model outputs Evaluate and recommend AI security tools and technologies, including data loss prevention for AI interactions, AI gateway solutions, model monitoring platforms, and security testing frameworks Partner with compliance and legal teams to ensure AI implementations meet regulatory requirements including insurance industry regulations, data privacy laws, and emerging AI-specific legislation Create security awareness training programs focused on AI risks, responsible AI usage, and secure development practices for different user personas across the organization Develop incident response procedures specific to AI security events, including model compromise, data leakage, and unauthorized AI tool usage Monitor the evolving AI security landscape and provide strategic guidance on emerging threats, vulnerabilities, and security best practices Establish metrics and reporting frameworks to measure AI security posture and communicate risk to executive leadership Qualifications Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or related field; Master's degree preferred 8+ years of experience in information security with at least 3 years in security architecture roles Demonstrated experience designing security controls for AI/ML systems, including LLMs, generative AI platforms, or machine learning pipelines Deep understanding of AI security risks including prompt injection, model inversion, data poisoning, adversarial attacks, and privacy concerns in machine learning Strong knowledge of enterprise security frameworks and standards such as NIST CSF, ISO 27001, SOC 2, and data protection regulations including GDPR, CCPA Experience with cloud security architectures, particularly in AWS, Azure, or GCP environments where AI/ML workloads are deployed Familiarity with AI development tools and platforms such as OpenAI API, Azure AI Services, AWS SageMaker, or Google Vertex AI Excellent written and verbal communication skills with ability to translate technical security concepts to business stakeholders and executive leadership Relevant security certifications such as CISSP, CCSP, CISM, or specialized AI security certifications Experience in the insurance or financial services industry with understanding of regulatory requirements Hands-on experience with AI security tools such as AI firewalls, model monitoring solutions, or DLP platforms with AI capabilities Background in machine learning or data science with understanding of model training, evaluation, and deployment processes Knowledge of responsible AI principles, AI ethics frameworks, and fairness testing methodologies Experience building security awareness programs and training materials for technical and non-technical audiences Active participation in AI security communities, research contributions, or speaking engagements on AI security topics 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. AI Transparency & Disclosure As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights. These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.

Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role We are seeking an experienced AI Security Architect to establish security guardrails and governance frameworks for artificial intelligence deployment across our organization. This critical role will work directly with the AI business deployment team to develop standards, controls, and best practices that enable safe and responsible AI usage at both the employee and developer levels. As we build our AI corporate strategy from the ground up, you will be instrumental in shaping how our organization securely leverages AI technologies while protecting customer data, ensuring regulatory compliance, and mitigating emerging AI-related risks. Duration: 6 Months, Contract (potential to extend or convert) Responsibilities Design and implement comprehensive AI security architecture, including governance frameworks, data protection controls, model security standards, and usage policies for enterprise AI systems Collaborate with the AI business deployment team to establish security requirements and controls for AI applications, ensuring alignment between business objectives and security standards Develop and enforce AI usage policies and security guardrails for employees, including guidelines for acceptable use of generative AI tools, prompt engineering security, and data sharing restrictions Establish security standards and best practices for AI/ML development teams, covering model training security, data pipeline protection, API security, and secure model deployment Conduct AI-specific threat modeling and risk assessments, identifying vulnerabilities such as prompt injection, data poisoning, model theft, adversarial attacks, and privacy leakage Define data classification and handling requirements for AI systems, ensuring sensitive customer information and personally identifiable information are appropriately protected in training datasets and model outputs Evaluate and recommend AI security tools and technologies, including data loss prevention for AI interactions, AI gateway solutions, model monitoring platforms, and security testing frameworks Partner with compliance and legal teams to ensure AI implementations meet regulatory requirements including insurance industry regulations, data privacy laws, and emerging AI-specific legislation Create security awareness training programs focused on AI risks, responsible AI usage, and secure development practices for different user personas across the organization Develop incident response procedures specific to AI security events, including model compromise, data leakage, and unauthorized AI tool usage Monitor the evolving AI security landscape and provide strategic guidance on emerging threats, vulnerabilities, and security best practices Establish metrics and reporting frameworks to measure AI security posture and communicate risk to executive leadership Qualifications Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or related field; Master's degree preferred 8+ years of experience in information security with at least 3 years in security architecture roles Demonstrated experience designing security controls for AI/ML systems, including LLMs, generative AI platforms, or machine learning pipelines Deep understanding of AI security risks including prompt injection, model inversion, data poisoning, adversarial attacks, and privacy concerns in machine learning Strong knowledge of enterprise security frameworks and standards such as NIST CSF, ISO 27001, SOC 2, and data protection regulations including GDPR, CCPA Experience with cloud security architectures, particularly in AWS, Azure, or GCP environments where AI/ML workloads are deployed Familiarity with AI development tools and platforms such as OpenAI API, Azure AI Services, AWS SageMaker, or Google Vertex AI Excellent written and verbal communication skills with ability to translate technical security concepts to business stakeholders and executive leadership Relevant security certifications such as CISSP, CCSP, CISM, or specialized AI security certifications Experience in the insurance or financial services industry with understanding of regulatory requirements Hands-on experience with AI security tools such as AI firewalls, model monitoring solutions, or DLP platforms with AI capabilities Background in machine learning or data science with understanding of model training, evaluation, and deployment processes Knowledge of responsible AI principles, AI ethics frameworks, and fairness testing methodologies Experience building security awareness programs and training materials for technical and non-technical audiences Active participation in AI security communities, research contributions, or speaking engagements on AI security topics 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. AI Transparency & Disclosure As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights. These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.

Company Description Join Us! Why Talan? For the 4th consecutive year, Talan Spain has been recognized as a Great Place to Work! 🎉 This year, we’re also celebrating our 2nd certification in Poland, a significant milestone since opening our office there. Talan is an international advisory group specializing in innovation and transformation through technology, with 5,000 employees and an annual turnover of 600M€. We offer our customers a continuum of services to support them at each key stage of their organization's transformation, with four main activities: CONSULTING in Management and Innovation: Supporting business, managerial, cultural, and technological transformations. DATA & TECHNOLOGY: Implementing major transformation projects. CLOUD & APPLICATION SERVICES: Building or integrating software solutions. SERVICE CENTERS of EXCELLENCE: Providing technology, innovation, agility, sustainability of skills, and cost optimization. Talan accelerates its clients' transformation through innovation and technology. By understanding their challenges and supporting them with technology, innovation, and data, we enable them to be more efficient and resilient. Job Description The AI Governance Officer is responsible for establishing, maintaining, and continuously improving the organization's AI governance framework, ensuring that AI systems are developed, deployed, and operated in a compliant, ethical, secure, and transparent manner. This role serves as the central point of coordination for AI governance activities and supports the organization's adherence to the EU AI Act, GDPR, and other relevant regulatory and industry requirements. The role oversees the implementation of AI governance policies, controls, and processes across the AI lifecycle, including the inventory and classification of AI systems, risk assessments, data governance, documentation, monitoring, and incident management. The AI Governance Officer works closely with Legal, Compliance, Technology, Data, Security, and Business teams to ensure AI solutions meet regulatory expectations while supporting innovation and business objectives. Key Responsibilities Develop, implement, and maintain the organization's AI Governance Framework, policies, standards, and control processes. Establish and oversee AI risk management practices, including the identification, assessment, mitigation, and monitoring of AI-related risks such as bias, model drift, robustness, security, and transparency. Maintain an inventory of AI systems and ensure appropriate classification and governance based on applicable regulatory requirements and risk levels. Coordinate AI impact assessments and compliance reviews, ensuring alignment with the EU AI Act, data protection regulations, and internal governance standards. Oversee data governance practices for AI systems, including data quality, traceability, documentation, retention, and compliance with privacy requirements. Ensure the availability and maintenance of technical documentation, governance records, audit evidence, and compliance reporting related to AI systems. Monitor the performance and compliance of AI systems throughout their lifecycle, including post-deployment reviews, incident management, and remediation activities. Define and promote standards for human oversight, transparency, explainability, and ethical AI practices across the organization. Manage AI-related third-party and vendor governance activities, including due diligence, risk assessments, and contractual compliance requirements. Act as the primary liaison for AI governance matters with internal stakeholders, auditors, regulators, and supervisory authorities. Deliver AI governance reporting, metrics, and risk insights to senior leadership and governance committees. Drive AI awareness and literacy initiatives to strengthen responsible AI adoption across the organization. Monitor regulatory developments, industry standards, and emerging best practices, ensuring the continuous evolution of the AI governance framework. Qualifications Key Requirements Experience in AI Governance, Risk Management, Compliance, Technology Governance, Data Governance, or a related field. Strong understanding of the EU AI Act, GDPR, and broader technology and data governance frameworks. Knowledge of AI, machine learning, and generative AI concepts, including associated risks and control mechanisms. Experience developing governance frameworks, policies, controls, and compliance programs. Ability to collaborate effectively with technical, legal, compliance, risk, and business stakeholders. Strong analytical, organizational, communication, and stakeholder management skills. Experience supporting audits, regulatory engagements, or compliance assessments is highly desirable. Additional Information Hybrid position based in Warsaw, Poland. Permanent, full-time contract with career development opportunities. Chance to work in a challenging, multicultural environment with international projects. Exposure to large-scale financial IT systems and cross-country operations. Training opportunities to develop new skills in finance, technology, and data management. If you are passionate about development & tech, we want to meet you! Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019). Contract Type: Permanent contract

Company Description Join Us! Why Talan? For the 4th consecutive year, Talan Spain has been recognized as a Great Place to Work! 🎉 This year, we’re also celebrating our 2nd certification in Poland, a significant milestone since opening our office there. Talan is an international advisory group specializing in innovation and transformation through technology, with 5,000 employees and an annual turnover of 600M€. We offer our customers a continuum of services to support them at each key stage of their organization's transformation, with four main activities: CONSULTING in Management and Innovation: Supporting business, managerial, cultural, and technological transformations. DATA & TECHNOLOGY: Implementing major transformation projects. CLOUD & APPLICATION SERVICES: Building or integrating software solutions. SERVICE CENTERS of EXCELLENCE: Providing technology, innovation, agility, sustainability of skills, and cost optimization. Talan accelerates its clients' transformation through innovation and technology. By understanding their challenges and supporting them with technology, innovation, and data, we enable them to be more efficient and resilient. Job Description The AI Governance Officer is responsible for establishing, maintaining, and continuously improving the organization's AI governance framework, ensuring that AI systems are developed, deployed, and operated in a compliant, ethical, secure, and transparent manner. This role serves as the central point of coordination for AI governance activities and supports the organization's adherence to the EU AI Act, GDPR, and other relevant regulatory and industry requirements. The role oversees the implementation of AI governance policies, controls, and processes across the AI lifecycle, including the inventory and classification of AI systems, risk assessments, data governance, documentation, monitoring, and incident management. The AI Governance Officer works closely with Legal, Compliance, Technology, Data, Security, and Business teams to ensure AI solutions meet regulatory expectations while supporting innovation and business objectives. Key Responsibilities Develop, implement, and maintain the organization's AI Governance Framework, policies, standards, and control processes. Establish and oversee AI risk management practices, including the identification, assessment, mitigation, and monitoring of AI-related risks such as bias, model drift, robustness, security, and transparency. Maintain an inventory of AI systems and ensure appropriate classification and governance based on applicable regulatory requirements and risk levels. Coordinate AI impact assessments and compliance reviews, ensuring alignment with the EU AI Act, data protection regulations, and internal governance standards. Oversee data governance practices for AI systems, including data quality, traceability, documentation, retention, and compliance with privacy requirements. Ensure the availability and maintenance of technical documentation, governance records, audit evidence, and compliance reporting related to AI systems. Monitor the performance and compliance of AI systems throughout their lifecycle, including post-deployment reviews, incident management, and remediation activities. Define and promote standards for human oversight, transparency, explainability, and ethical AI practices across the organization. Manage AI-related third-party and vendor governance activities, including due diligence, risk assessments, and contractual compliance requirements. Act as the primary liaison for AI governance matters with internal stakeholders, auditors, regulators, and supervisory authorities. Deliver AI governance reporting, metrics, and risk insights to senior leadership and governance committees. Drive AI awareness and literacy initiatives to strengthen responsible AI adoption across the organization. Monitor regulatory developments, industry standards, and emerging best practices, ensuring the continuous evolution of the AI governance framework. Qualifications Key Requirements Experience in AI Governance, Risk Management, Compliance, Technology Governance, Data Governance, or a related field. Strong understanding of the EU AI Act, GDPR, and broader technology and data governance frameworks. Knowledge of AI, machine learning, and generative AI concepts, including associated risks and control mechanisms. Experience developing governance frameworks, policies, controls, and compliance programs. Ability to collaborate effectively with technical, legal, compliance, risk, and business stakeholders. Strong analytical, organizational, communication, and stakeholder management skills. Experience supporting audits, regulatory engagements, or compliance assessments is highly desirable. Additional Information Hybrid position based in Warsaw, Poland. Permanent, full-time contract with career development opportunities. Chance to work in a challenging, multicultural environment with international projects. Exposure to large-scale financial IT systems and cross-country operations. Training opportunities to develop new skills in finance, technology, and data management. If you are passionate about development & tech, we want to meet you! Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019). Contract Type: Permanent contract

Start: Immediately | Level: Senior | Location: Germany, remote | Working hours: Full time (40h/Week) As an AI Security Engineer(gn) , you play a key role in enabling the secure adoption of Artificial Intelligence across the organization. You are responsible for securing AI systems, Generative AI solutions, LLM-based workflows, AI-powered tools, and the integration of external AI services. Acting as the central point of contact for AI Security, you define security standards, conduct architecture and risk assessments, and develop technical and organizational safeguards to mitigate risks. You also drive the automation of security controls and governance processes while supporting teams across the business in the secure and compliant use of AI technologies. Your mission You advise on and assess internally developed and externally sourced AI systems, Generative AI applications, LLM-based workflows, and agentic AI solutions from a security perspective You conduct AI threat modeling, risk assessments, security reviews, and architecture assessments for software, cloud, and AI environments You develop and implement Secure AI-by-Design and Security-by-Default principles and define security requirements for AI-powered systems You identify and assess risks such as prompt injection, jailbreaking, data leakage, model poisoning, adversarial attacks, and insecure agent integrations, and develop appropriate mitigation strategies You perform AI red teaming, technical security assessments, and reviews to strengthen the security of LLM platforms, agentic AI solutions, and AI service integrations You build automated security controls and integrate AI security checks into DevSecOps, CI/CD, and MLOps processes You establish monitoring and detection capabilities for AI applications and collaborate with Security Operations teams to investigate security events and abuse patterns You advise engineering, product, and business teams on the secure use of AI and support the rollout of new AI solutions through training, standards, and best practices Your experience & skills You hold a degree in Computer Science, Cyber Security, Information Security, or a comparable qualification You have several years of experience in Security Engineering, Application Security, Cloud Security, or a related Cyber Security field You have hands-on experience with Generative AI, Large Language Models (LLMs), modern AI platforms, and cloud technologies such as Azure, AWS, or Google Cloud You have experience with threat modeling, security assessments, architecture reviews, and modern DevSecOps, CI/CD, or MLOps practices Knowledge of AI security frameworks and standards such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, or similar approaches is a plus Ideally, you have experience with AI Red Teaming, RAG architectures, vector databases, agentic AI concepts, or regulatory frameworks such as ISO 27001, NIS2, and the EU AI Act You combine strong analytical thinking and a security-first mindset with a structured and solution-oriented approach to work You are an effective communicator who can explain complex technical topics to both technical and non-technical stakeholders You are fluent in German and English, both written and spoken Why choose us? Being part of our team means joining a high-performing company with a diverse and inclusive culture. In our fast-growing team of over 1,200 employees, we combine our passion for sports nutrition, supplements, and healthy foods with cutting-edge technology, production, and logistics processes. All of this serves one goal: providing our customers with top-quality products to support their healthy and active lifestyle. You can look forward to a strong sense of team spirit, ongoing opportunities for professional growth and responsibility, and an exciting work environment that blends lifestyle and career. With locations in Hamburg, Elmshorn, Kaltenkirchen/Nützen, and Elsdorf, TQG offers diverse career opportunities in areas such as technology, product development, sales, marketing, and logistics. Additionally, you’ll benefit from: Flexible working hours and remote work options Attractive employee discounts Subsidy for the E-gym Wellpass Workation Corporate benefits 28 days vacation/year and much more About Us The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands ESN and More Nutrition since 2021. ESN has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, More Nutrition focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise. TQG’s vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees. This is us – The Quality Group – nice to meet you! Now it’s your turn! We look forward to your application! Regardless of gender, age, background, or identity – what matters to us is who you are and what you bring to the table. Join our team and grow with us!