Model Risk Management (IRB) at Morgan Stanley

Senior

Model Risk Management

Model Validation

Implementation

+3 more

Job Description

Model Risk Management (IRB), Vice President
London
JR025999

This role resides within Firm Risk Management's Model Risk Management Department which provides independent model risk control, review and validation of models used by Morgan Stanley. These include derivative pricing models utilized across product areas, including interest rates, currencies, commodities, equities, credit, and securitized products. This is in addition to oversight of models used to monitor counterparty credit risk (CVA/IMM), credit risk (IRB), market risk (IMA), operational risk, capital and liquidity stress tests.

Model Risk Management (MRM) professionals in New York, London, Budapest, Frankfurt, Mumbai and Tokyo work closely with business quantitative strategists, risk analytics, risk managers and financial controllers. The London team works collaboratively with members of Model Risk Management across all model areas globally.

Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.

About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

What will you be doing?
•   Conduct model validation for Internal-Risk-Based (IRB) models, predominantly wholesale IRB, by challenging model assumptions, mathematical formulation, and implementation
•   Conduct independent testing to assess model accuracy and robustness under different scenarios and market conditions
•   Assess and quantify model risks due to model limitations and develop compensating controls
•   Develop high-quality validation reports highlighting risks and limitations of models and communicate findings to stakeholders, senior management.
•   Collaborate with Global MRM teams, Developers, Model Control Officers, Credit and Capital Teams and Risk Managers to manage model risk across the model lifecycle
•   Cultivate and manage effective relationships with regulators by providing accurate and timely submissions
•   Manage a team of reviewers and/or IRB-specific projects

What we’re looking for:
•   Master's or Ph.D. degree (or equivalent) in Finance, Economics, Mathematics, Physics, Engineering, or a related quantitative field
•   In-depth knowledge of mathematical finance or Statistics and numerical techniques
•   Minimum of 5 years of relevant model risk management and/or quantitative modelling experience
•   Experience with IRB models wholesale, retail and securitization gained at a financial institution (preferred)
•   Understanding and ideally working knowledge on Internal-Based Rating (IRB) models such as PD, LGD, EAD, Stress testing, IFRS9
•   Experience of developing risk models using Python and R

Skills that will help you in the role:
• An interest in working in a fast-paced environment, often balancing multiple high priority deliverables
• The ability to communicate effectively with a wide range of stakeholders, both written and verbally

Where will you be working?
This role is based in 20 Bank Street, London.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Requirements

Conduct model validation for Internal-Risk-Based (IRB) models
Challenge model assumptions, mathematical formulation, and implementation
Conduct independent testing to assess model accuracy and robustness
Assess and quantify model risks due to model limitations and develop compensating controls
Develop high-quality validation reports highlighting risks and limitations of models

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Stock Options
Training Budget
Wellness Programs

Skills

Model Risk Management Model Validation Implementation Python Internal-Risk-Based (IRB) models Mathematical formulation

Job Description

Model Risk Management (IRB), Vice President
London
JR025999

About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

Where will you be working?
This role is based in 20 Bank Street, London.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Requirements

Conduct model validation for Internal-Risk-Based (IRB) models
Challenge model assumptions, mathematical formulation, and implementation
Conduct independent testing to assess model accuracy and robustness
Assess and quantify model risks due to model limitations and develop compensating controls
Develop high-quality validation reports highlighting risks and limitations of models

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Stock Options
Training Budget
Wellness Programs

Skills

Model Risk Management

Model Validation

Implementation

Python

Internal-Risk-Based (IRB) models

Mathematical formulation

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

Ready to Apply?

Join Morgan Stanley today

Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 3 months ago

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Requirements

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401k Matching
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Paid Time Off
Performance Bonus
Professional Development
Retirement Plan
Wellness Programs

Skills

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Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field
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Requirements

Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field
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NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health [http://nyulangone.org], the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. 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The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal [https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf]. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.61 - $106,180.20 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. 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Guide staff through the full lifecycle of AI/ML use case intake
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Coordinate with enterprise teams to maintain a robust AI/ML inventory
Ensure completeness and accuracy of intake records and documentation
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Develop tools and processes that strengthen governance practices and lifecycle monitoring

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401k Matching
Certification Support
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Home Office Budget
Learning Budget
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+3 more

Job Description

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! The AI Security Field CTO, Americas will be part of the Field AI Engineering team which is a unique group of professionals combining strong technical expertise, mostly rooted in a software engineering background, with excellent customer-facing skills. In this role, you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. You will act as an expert on the entire AI Security space and product offering. You’ll be the go-to role that supports our GTM organization needs. Cato’s Field AI Engineering team is the bridge between Customer, Pre-sales, Product Management, and Engineering. The AI Security Field CTO, Americas has full visibility of all the projects and activities in all domains with the ability to forward the message out to the field and influence our decisions with customers' and partners' feedback. What You'll Do: Work closely with our customers, partners, Sales, R&D, Marketing, Ops, UI/UX, Documentation, Training, and Customer Success teams to deliver best-in-class AI security product in the market. Build product demos, as well as demonstrate the product for strategic accounts and high-profile meetings. Drive AI Security deal success by handling complex technical sales engagements. Break down strategic product-related goals into actionable tasks and manage the execution of these tasks across all relevant departments. Conduct product research, write detailed product design documents, and manage the end-to-end execution to deliver the feature. Create and deliver presentations for customers, partners, Sales, Customer Success, and Professional Services teams. Support sales in large opportunities, RFI/RFP, and collect requirements and gaps. Sales enablement and deep product collateral creation. Lead and support complex customer deployments, from initial design through implementation and validation. Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes. What You'll Bring: Minimum of 10 years in B2B Pre-Sales experience, Solutions Architect, Field CTO or Product Management in Cyber Security vendors is required. Strong technical background in AI, Software Engineering or Cyber Security. Strong presentation skills and written communication in emails, RFPs, and reports. Business driven and Customer first attitude. Support the sales organization in securing new business. Strong product vision. Ability to conduct market and user research by performing competitive analysis, having ongoing contact with clients to understand their needs, tracking and analyzing user behavior, and following up and responding to user feedback. Travel as needed to meet our customers and partners face to face. Why Join Us? Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact. This is a unique opportunity to combine deep technical expertise with a highly customer-facing role. You’ll work on some of the most complex and dynamic customer scenarios, designing and delivering tailored solutions. This role offers significant impact, constant learning, and the chance to shape both customer outcomes and product direction.

Requirements

Minimum of 10 years in B2B Pre-Sales experience
Solutions Architect
Field CTO or Product Management in Cyber Security vendors
Strong technical background in AI, Software Engineering or Cyber Security
Ability to lead major customer engagements
Excellent customer-facing skills
Ability to tackle complex challenges faced by customers
Expertise in AI Security space and product offering

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget

Skills

AI Machine Learning Cyber Security Security Software Engineering Cloud Networking

Risk Management - Model Risk Program Associate

JPMorgan Chase & Co.

Full Time

$135k - $150k

23 hours ago

Worldwide

Mid

Python

Machine Learning

LLM

+4 more

Job Description

Join JPMorgan Chase’s Risk Management and Compliance team, where your expertise will drive the re-engineering of how model risk is managed across the firm. As part of the Model Risk Governance and Review (MRGR) AI Center of Excellence (AI COE) team, your work will be instrumental in transforming the model risk lifecycle and enabling a new paradigm for how risk professionals and model developers collaborate. As a Risk Management - Model Risk Program Associate in the Model Risk Governance and Review (MRGR) AI Center of Excellence (AI COE) team, you will design and build AI-native tools, workflows, and platforms that re-engineer how model risk professionals conduct validation and governance. You will also bring deep applied AI expertise to the review of AI/ML and LLM-based models deployed across the firm. This role places you at the forefront of how Generative AI is being operationalized in financial services. Job Responsibilities * Design, build, and deploy AI and LLM-based solutions that transform core MRGR processes and workflows during validation and governance. * Work closely with MRGR teams to identify opportunities for AI to enhance and modernize model risk management practices and to understand the unique challenges and requirements of model risk governance. * Remain current with emerging AI and LLM developments, get hands-on with new capabilities to understand their strengths and limitations, assess how they can be applied within MRGR workflows, and communicate actionable recommendations to stakeholders. * Enable MRGR teams to effectively leverage AI tools and platforms in their day-to-day workflows, ensuring adoption is aligned with evolving best practices across the organization. * Conduct independent model validation and governance activities to mitigate model risk, with a focus on AI/ML models, LLM-based applications, and Generative AI systems. Required Qualifications, Capabilities, and Skills * Master's or PhD degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or a related field, with strong quantitative and analytical skills. * Hands-on experience with applied AI/ML and LLM technologies, including prompt engineering, RAG architectures, agentic AI systems, context engineering, agent skills, MCP architecture, agentic harness, LLM evaluation and beyond. * Strong foundation in statistics, econometrics, and machine learning techniques, with a deep understanding of model assumptions, limitations, explainability, and performance evaluation. * Familiarity with LLM application tooling and frameworks (e.g., Claude Code, GitHub Copilot, LangChain, vector databases, embedding models, orchestration layers) and an understanding of how these components integrate in end-to-end deployed systems. Passion to stay at the forefront of how Generative AI is being operationalized in financial services and a desire to be a hands-on builder of AI solutions. * Strong communication skills with the ability to present complex AI concepts to both technical and non-technical audiences. A risk and control mindset with the ability to ask incisive questions, assess the materiality of model issues, and escalate appropriately 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. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Requirements

Master's or PhD degree in a quantitative discipline
Hands-on experience with applied AI/ML and LLM technologies
Strong foundation in statistics, econometrics, and machine learning techniques
Familiarity with LLM application tooling and frameworks
Passion to stay at the forefront of how Generative AI is being operationalized in financial services
Strong communication skills
Ability to design, build, and deploy AI and LLM-based solutions

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Python Machine Learning LLM statistics Agentic AI systems Econometrics RAG architectures

Senior Application Security Tester & AI Red Team Subject Matter Expert

Full Time

$150,000 - $250,000*

1 day ago

Worldwide

Senior

OWASP ZAP

Nmap

Postman

+5 more

Job Description

The Senior Application Security Tester & AI Red Team Subject Matter Expert is a senior-level offensive security role for a tester who has mastered modern web and API security and is now defining how Evolve Security tests AI-enabled applications, large language models, and agentic systems. This role wears two hats: hands-on senior application penetration tester for our most complex client engagements, and the firm-wide subject matter expert who builds, scales, and represents Evolve Security’s AI red team practice. The senior tester executes assessments with full autonomy, owns the technical relationship with client security and engineering leadership, mentors mid-level engineers and OSOC analysts, and is the recognized internal authority on offensive AI/ML testing methodology, tooling, and threat modeling. Typical Experience: 5–8+ years of offensive security experience with a deep concentration in web application and API penetration testing, plus demonstrable hands-on work testing AI/ML systems — LLM-backed applications, RAG pipelines, fine-tuned models, multi-agent systems, or production ML inference. A track record of dozens of completed assessments, published research, conference talks, CVEs, or open-source contributions is expected. Domain Expertise: Mastery of web application and API security beyond the OWASP Top 10 — business logic abuse, complex authentication and authorization flows (OAuth 2.0 / OIDC, SAML, JWT, mTLS), SSRF chains, deserialization, request smuggling, prototype pollution, and modern SPA / GraphQL attack surface. Equally fluent in the OWASP Top 10 for LLM Applications and OWASP ML Top 10 — prompt injection (direct, indirect, multi-modal), jailbreaks and safety bypasses, insecure output handling, training data poisoning and extraction, model denial of service, supply chain vulnerabilities in model and plugin ecosystems, excessive agency in agentic systems, sensitive data leakage from system prompts and embeddings, and vector store / RAG poisoning. Technical Skills: Expert with the modern offensive toolchain — Burp Suite Pro (including custom extensions), OWASP ZAP, Nuclei, Postman, Nmap, Metasploit, BloodHound — and able to build bespoke tooling when the off-the-shelf option falls short. Comfortable with AI red-teaming tooling such as Garak, PyRIT, Promptfoo, Giskard, and adversarial ML libraries, and confident designing custom evaluation harnesses against client-specific LLM and agent stacks. Strong scripting and small-tool development in Python, with working knowledge of JavaScript / TypeScript, Bash, and PowerShell. Familiar with the components of modern AI applications: vector databases (Pinecone, Weaviate, pgvector), embedding models, retrieval pipelines, agent frameworks (LangChain, LlamaIndex, CrewAI), and tool-use protocols including MCP. Soft Skills: Excellent written and verbal communication — produces publication-quality reports with no editorial rework, leads CISO and engineering-leader briefings, and de-escalates contested findings with technical rigor. Mentors mid-level engineers and OSOC analysts through code review, paired testing, and methodology coaching. Comfortable representing Evolve Security externally — webinars, podcasts, conference CFPs, and client thought-leadership content. Certifications (Preferred, not required): OSWE, OSCP, OSEP, GWAPT, GXPN, Burp Suite Certified Practitioner; AI/ML-adjacent credentials and contributions such as AI Red Team certifications, published prompt injection research, MITRE ATLAS contributions, or SANS SEC545/SEC595. Expertise that aligns to our approach Lead end-to-end web application and API penetration tests as the senior technical owner, scoping the engagement, executing the assessment, and presenting findings to client security and engineering leadership. Apply structured testing techniques aligned to OWASP WSTG and OWASP API Security Top 10 to assess authentication, session management, access control (vertical and horizontal privilege escalation), input validation, error handling, and business logic flaws. Design and execute AI red team engagements against LLM-backed applications, RAG systems, and agentic workflows — covering prompt injection (direct, indirect, multi-modal), jailbreak resilience, system prompt and tool-use exfiltration, training data and embedding leakage, insecure output handling, and excessive agency in tool-using agents. Map AI findings to the OWASP Top 10 for LLM Applications, OWASP ML Top 10, MITRE ATLAS, and the NIST AI Risk Management Framework so client stakeholders can defend severity and remediation calls internally. Test the full AI application surface: model endpoints, prompt and response pipelines, retrieval augmentation, vector stores, fine-tuning pipelines, plugin / tool integrations (including MCP servers), guardrail and safety layers, and supporting cloud infrastructure. Demonstrate proficiency in manual exploit development for both classical web vulnerabilities (XSS, SQLi, SSRF, IDOR, CSRF, deserialization) and LLM-specific attacks (jailbreak chains, indirect prompt injection via RAG content, agent hijacking via crafted tool outputs). Validate authentication mechanisms — OAuth, OIDC, SAML, MFA implementations, and JWT — and how they extend into AI-specific surfaces such as agent identity, per-user tool scoping, and prompt-level authorization. Assess session management, secrets handling, and data-flow controls in AI applications, including how user data ends up in prompts, logs, vector stores, and model fine-tunes. Execute client-side testing using browser dev tools and proxy-based inspection, evaluating DOM-based vulnerabilities, insecure local storage, and AI-driven client behaviors (e.g., embedded copilots and in-page agents). Test REST and GraphQL APIs using a combination of dynamic, manual, and automated methods; extend the same rigor to model and agent APIs. Perform code-assisted (grey-box) and full source review when available, identifying logic flaws, insecure configurations, and dangerous patterns specific to AI integrations (untrusted-content-into-prompt, unbounded tool use, missing output sanitization). Build, maintain, and contribute to Evolve Security’s AI red team methodology, payload libraries, evaluation harnesses, and reporting templates — and serve as the firm-wide reviewer for AI-related findings. Mentor mid-level penetration testing engineers and OSOC analysts through paired testing, technical review, knowledge-sharing sessions, and contributions to internal training and the academy. Represent Evolve Security externally through conference talks, blog posts, webinars, and client thought-leadership content on application security and AI red teaming. Communicate findings clearly, with strong emphasis on business impact, reproducibility, and strategic remediation guidance that engineering teams can actually ship. Success in the first 6 months looks like: Published, version-controlled AI red team methodology covering LLM applications, RAG systems, and agentic workflows, adopted across Evolve Security engagements. A reusable AI red team toolkit (custom Garak/PyRIT probes, payload libraries, evaluation harnesses) ready for any tester to use on a client engagement. Senior technical ownership of at least one strategic, AI-focused client account. Mentorship cadence in place with mid-level engineers and OSOC analysts; demonstrable uplift in their AI-related findings and reporting quality. At least one piece of public thought leadership (talk, blog, or research) attributed to Evolve Security. Who is Evolve Security? Evolve Security is a cybersecurity services firm headquartered in Chicago, IL. We are dedicated to improving our client’s security posture by providing continuous penetration testing, training services, and talent solutions. In addition to our professional cybersecurity service offerings, Evolve Security offers a cybersecurity bootcamp, “Evolve Academy”, currently ranked the #1 cybersecurity bootcamp in the world. The Cybersecurity Bootcamp in Chicago provides immersive training, giving students the concrete and practical skills, needed on the job. Students gain real work experience through live security assessment work that they perform on not-for-profit companies. We are passionate about directly improving our customers’ security posture, and we proudly train others to help meet the need for qualified cybersecurity talent. Benefits Include Healthcare Benefits 401(k) Match Parental Leave Flexible Paid Time Off Annual vacation reimbursement

Requirements

5–8+ years of offensive security experience
Deep concentration in web application and API penetration testing
Demonstrable hands-on work testing AI/ML systems
Mastery of web application and API security beyond the OWASP Top 10
Fluency in the OWASP Top 10 for LLM Applications and OWASP ML Top 10

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

OWASP ZAP Nmap Postman Burp Suite Pro Nuclei Metasploit BloodHound Garak

Data & AI Governance Configuration Manager

Booking Holdings

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Data governance

AI Policy

Risk Management

+5 more

Job Description

About Booking Holdings India COE At Booking Holdings, we're more than just a leader in travel, we're shaping how people connect, explore, and experience the world. Through our diverse portfolio of brands, including Booking.com, KAYAK, Priceline, Agoda, Rentalcars.com, and OpenTable, we help millions create meaningful experiences, whether booking a getaway or reserving the perfect meal. Our success is built on a culture of inclusion, collaboration, and innovation, where diverse voices are valued, and every idea has the potential to make an impact. At Booking Holdings India COE, we combine data, technology, and creativity to build solutions that simplify global travel, enhance financial services, and create seamless customer experiences. Join us to innovate fearlessly, build connected experiences, and help shape the future of global travel and hospitality. Are you ready to be part of a journey that makes the world more accessible for everyone? 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 data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: We are looking for a Data & AI Governance Configuration Manager to join our Data & AI Governance organisation, managing a team of individual contributors and contractors on and off shore. The Configuration Manager must have demonstrated experience in leading and motivating a team of analysts and specialists (up to 5-7 people) in addition to demonstrated experience in managing large cross-organizational Data & AI Governance initiatives. Ideal candidates should have a technical background in Data & AI Governance Standards & Frameworks, Data Ownership & Stewardship, Risk Management, Regulatory Change, and Business Operations and various Data Governance tools. They must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means not only being able to develop and drive high-level strategic initiatives, but can also roll up their sleeves, dig in and help drive change. This role is a mix of leadership (leading a small team of specialists and analysts) individual contributors, and it demands skills as an evangelist and a partner - at a time where transformation and modernisation of our data ecosystem is a company-wide priority. Key Job Responsibilities and Duties: People Management: Manage a team of Data and AI Governance operations specialists and potentially contractors including ensuring people’s performance and wellbeing is balanced Help set up quarterly and yearly objectives, estimate work, manage team and personal performance reviews Mentor and coach team members Improve team routines and processes for better performance based on the state of the team. Ensure the team follows the best practices to learn and adopt new methodologies Manage hiring and compensation Help the team to communicate externally and internally, resolve conflicts Data and AI Governance: Data Stewardship: Manage the ease of use and access for Data Ownership and Stewardship roles and responsibilities across tools, supporting clear accountability and proper onboarding of data stewards with intuitive user journeys. Data & AI Governance Principles: Apply and enforce Data & AI Governance principles, processes, policies, and standards to ensure consistent and effective governance practices. Regulatory Compliance: Ensure adherence to Data & AI regulatory policies, such as GDPR, DMA, SOx, and the EU AI Act, by staying updated on compliance requirements and integrating them into governance frameworks and implementation practices. Data & AI Governance Practices: Drive the adoption of Data & AI Governance capabilities including Data & AI Literacy, data cataloging, data profiling, metadata management, data classification, data lineage, master data management, and workflows, ensuring robust governance of critical data elements. Work with the broader Data & AI Governance team to ensure the continuous roll out of improvements and evolution of compliance controls to ensure the continual maturity of Data & AI Practice at Booking. Configuration Management: Metadata Management: be responsible for working with Data & AI Governance SMEs, Architecture, Product and Engineering teams to ensure appropriate metadata configuration and management including continuous improvement opportunities. E2E Delivery & Impact: Contribute to high-complexity Data & AI governance agile delivery and high-impact initiatives independently - leading metadata design execution, testing and reporting, and final handover to business-as-usual operations. Stakeholder Management: Act as an authoritative point of contact for metadata management inquiries. You must navigate a complex stakeholder landscape, effectively engaging with cross-functional working groups and presenting strategic updates to leadership up to the VP level. Risk Management: Identify, assess, track and mitigate issues and risks at multiple levels Operational Excellence: Expertly leverage the Atlassian suite (Jira/Confluence) to architect delivery workflows, track configuration changes, and maintain transparent documentation. You will ensure the team’s output is measurable, visible, and aligned with departmental velocity goals. Change Leadership: Champion the department’s change management protocols. You will guide your team through technical transitions and organizational shifts, ensuring that new governance processes are adopted smoothly without disrupting the broader data community. Role Qualifications and Requirements: Experience Requirements: 5-8 years of relevant technical experience, with 3+ years focused around Data Governance (or 5+ years in a broader Data/Analytical role)): SQL Proficiency: Strong ability to query relational databases to validate metadata or troubleshoot integration issues. SDLC for Governance: Applying "Data Governance as Code" principles—using Git for version control of configuration scripts and managing Test, Staging, and Production environments. At least 1-2 years of experience in metadata management and 1-2 years managing data teams, including building and growing the team: Operating Model Configuration: Proficiency in defining and configuring Asset Types, Domains, Communities, and complex relationship mapping. Workflow Engineering: Ability to design and deploy automated governance workflows (e.g., using BPMN 2.0, Java, or Groovy) for approvals, issue management, and asset onboarding. Metamodel Design: Skill in creating logical structures that represent the organization’s data landscape (Business Glossaries, Data Catalogs, and AI Model Registries). AI Model Metadata Tracking: Understanding how to capture AI-specific attributes like model versions, training datasets, "fairness" metrics, and accuracy scores. Data Governance certification (e.g DAMA, DGI, etc.) or equivalent certification is a plus, though not a requirement Self-driven learner, capable of proactively connect with many other teams to understand the intersection of regulation and data & AI governance capabilities Excellent communication (written and spoken) and stakeholder management skills, with the ability to build strong working relationships with both technical and non-technical stakeholders. BookingHoldings India COE 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, colour, 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.

Requirements

Manage a team of Data and AI Governance specialists and analysts
Develop and drive high-level strategic initiatives
Roll up sleeves and help drive change
Lead a small team of specialists and analysts
Drive transformation and modernisation of data ecosystem
Partner with stakeholders to implement data governance initiatives
Ensure data governance policies and procedures are up-to-date and compliant
Collaborate with cross-functional teams to drive business outcomes

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program

Skills

Data governance AI Policy Risk Management Enablement & Training Data Ownership & Stewardship Regulatory Change Business Operations Data Governance tools

Medical Director, AI Safety & Clinical Solutions

Avo

Full Time

$150k - $200k

1 day ago

Worldwide

Mid

Python

Clinical AI

+5 more

Job Description

About Avo Avo is the clinical AI platform used by healthcare enterprises to infuse trusted knowledge into clinical copilots — from AI-powered charting and decision support to an intelligent clinical assistant — all integrated directly into the EHR. Our platform helps clinicians deliver higher-quality care without the documentation burden. About the Role You'll sit at the intersection of clinical AI safety and customer-facing solutions work. On one side, you'll own the validation, testing, and safety assurance of our AI-generated clinical content. On the other, you'll work directly with prospective and existing customers as a clinical subject matter expert — supporting sales conversations and demos. This is a hybrid clinical-technical role for someone who wants to shape how AI is safely deployed in real clinical workflows. What You'll Do Design and execute AI safety testing protocols for clinical AI modules (hallucination detection, omission analysis, clinical accuracy validation) Review and validate AI-generated clinical content against evidence-based guidelines Partner with the Sales team as a clinical SME during demos, prospect calls, and pilot evaluations Engage with clients and prospects, as a Physician Leader, to help frame the value message of Avo and our solutions. This will encompass having strong communication skills to act as a ‘challenger’ to legacy people/process/technology solutions in place. Translate complex clinical AI capabilities into language that resonates with CMIOs, CIOs, and clinical leadership Collaborate with the Studio team to improve module quality based on safety findings and customer feedback Contribute to clinical documentation, white papers, and safety reports that build buyer confidence What We're Looking For Active clinical license — MD/DO, NP, or PA with hands-on patient care experience Mid-career — 3-7 years of clinical practice, enough to speak credibly to practicing clinicians AI/health IT curiosity — experience with or strong interest in clinical AI, CDS, or health informatics Communication skills — comfortable presenting and doing product demonstrations to C-suite clinical leaders and translating technical concepts Quality mindset — detail-oriented approach to testing, validation, and clinical accuracy Comfort with ambiguity — this is a hybrid role at a growth-stage company; you'll shape it as you go Nice to Have Experience with EHR systems (Epic, Meditech, Athena) Background in clinical informatics, quality improvement, or patient safety Prior experience in a sales engineering, solutions, or customer-facing clinical role Familiarity with AI/LLM evaluation methodologies Details Location: Hybrid Reports to: CMIO, dotted line to Chief Commercial Officer Salary: $150,000 - $200,000, commensurate with experience Travel: Some travel expected for customer meetings and demos, up to 25%

Requirements

Active clinical license — MD/DO, NP, or PA with hands-on patient care experience
Mid-career — 3-7 years of clinical practice, enough to speak credibly to practicing clinicians
AI/health IT curiosity — experience with or strong interest in clinical AI, CDS, or health informatics
Communication skills — comfortable presenting and doing product demonstrations to C-suite clinical leaders and translating technical concepts
Quality mindset — detail-oriented approach to testing, validation, and clinical accuracy
Comfort with ambiguity — this is a hybrid role at a growth-stage company; you'll shape it as you go

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Stock Options
Training Budget
Wellness Programs

Skills

AI Python Clinical AI EHR systems Epic Meditech Athena Clinical informatics

Senior Manager Data & AI Governance

AFCA

Full Time

$120,000 - $180,000*

1 day ago

Australia

Worldwide

Senior

Data governance

AI Ethics

Regulatory Compliance

+3 more

Job Description

Company Description Fairness feels good Make a real impact at AFCA. Where fairness drives every decision. Help us deliver world-class, independent complaints resolution for Australians. As a not-for-profit and progressive financial ombudsman, we’re championing positive change. Achieving our purpose takes progressive thinking, accountability and resilience. At AFCA, our inclusive leadership values every voice. We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise. Flourish in a diverse, caring culture. Feel the difference of belonging to an organisation intentionally designed to put people first. Job Description As we expand our use of data and artificial intelligence, we’re committed to doing it safely, ethically and thoughtfully, always with fairness at the centre. In this newly created position, The Senior Manager - Data & AI Governance, will lead AFCA’s approach to responsible data and AI adoption. This role owns the end‑to‑end Data & AI governance lifecycle, from frameworks and policy design through to evaluation, assurance and ongoing oversight, ensuring data and AI initiatives deliver value while managing risk. Reporting to the Head of Data & Analytics, you’ll partner closely with leaders across the organisation to embed strong governance practices that support innovation while protecting our people, customers and community. What you’ll do Own and maintain AFCA’s Data and AI governance frameworks, aligned to regulatory developments, Australia’s AI Ethics Principles and organisational needs Lead data quality standards and practices, ensuring data is fit for purpose for operational use and AI applications Support the evaluation and assessment of AI tools, including testing for accuracy, bias, reliability and fitness for purpose Integrate data and AI governance with privacy, information management and information security frameworks, from approval through to implementation Drive cross‑functional governance forums, coordinating assessments and preparing clear recommendations for decision‑making bodies Maintain enterprise inventories of approved data and AI tools and key data assets, leading periodic suitability and compliance reviews Monitor external developments in AI regulation, ethics and assurance, advising leaders on implications and required actions Lead, coach and develop the Manager, Data Governance and Information Management and their team, ensuring alignment across governance activities Qualifications To be successful in this role, you will need: Extensive experience in governance, risk, compliance or technology roles, with a focus on AI governance, data governance or AI assurance. Demonstrated experience designing and implementing governance frameworks for AI or emerging technology in a regulated or compliance-sensitive environment. Experience leading or participating in cross-functional working groups or governance committees. Experience in financial services, digital‑first organisations or highly regulated environments highly regarded. Strong hands‑on delivery leadership, with the ability to move between strategic oversight and execution. Excellent stakeholder management skills, with the ability to influence senior leaders and complex stakeholder groups. Strong commercial, risk and dependency management capability. Clear communicator able to simplify complexity and build trust across business and technology domains. Growth mindset with a practical, outcome‑focused approach. Resilient, adaptable and calm in high‑change environments. Additional Information Silver AWEI Accreditation 2025 – Recognised for LGBTQ+ workplace inclusion. Accredited Family Friendly Workplace – Supporting work-life balance and inclusivity. Hybrid working – Flexible arrangements with two days a week in our modern offices designed for collaboration and wellbeing. Additional and inclusive leave options – Flexible public holidays, gender affirmation leave, women’s health leave, and bonus paid time off over the end of year holiday period. To apply If you’re passionate about fairness and believe your skills align with this role, we encourage you to apply even if you don’t meet every single criterion. We welcome applications from people of all backgrounds, cultures, abilities, sexual orientations, and gender identities. If you require any accessibility support during the recruitment process, please reach out to our team at [email protected]. We believe fairness starts with people. That’s why we don’t use AI or automated tools to screen candidates. As a result, our processes may take a little longer, and we thank you for your patience. About AFCA The Australian Financial Complaints Authority (AFCA) was established in 2018 as a private not-for-profit ombudsman service providing free, fair and independent help with financial disputes. The original team has grown to over 1600 dedicated professionals. Since 2018, AFCA has received more than 634,000 complaints, helping to secure $2.1 billion in compensation for consumers. AFCA is a 2026 Circle Back Initiative Employer - we are committed to responding to every applicant.

Requirements

Extensive experience in governance, risk, compliance or technology roles
Demonstrated experience designing and implementing governance frameworks for AI or emerging technology
Experience leading or participating in cross-functional working groups or governance committees
Experience in financial services, digital-first organisation
Strong understanding of AI ethics and regulatory compliance

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Data governance AI Ethics Regulatory Compliance Data Quality Data Management AI tools

Senior Manager Data & AI Governance

AFCA

Full Time

$120,000 - $180,000*

1 day ago

Australia

Worldwide

Senior

Data governance

AI Ethics

Regulatory Compliance

+3 more

Job Description

Requirements

Extensive experience in governance, risk, compliance or technology roles
Demonstrated experience designing and implementing governance frameworks for AI or emerging technology
Experience leading or participating in cross-functional working groups or governance committees
Experience in financial services, digital-first organisation
Strong understanding of AI ethics and regulatory compliance

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Data governance AI Ethics Regulatory Compliance Data Quality AI tools Data Management

Model Risk Analyst

AI Audit / Assurance / Controls Testing

Full Time

$80,000 - $140,000*

1 day ago

United States

AI Risk & Controls

Mid

Excel

SQL

Python

+1 more

Job Description

Description At Sunflower Bank, N.A., we’re experiencing great growth. Since our founding in 1892, we've been committed to serving our communities and supporting the team members who make it all possible. As a full-service financial institution, we offer a full range of relationship-focused services to meet personal, business, and wealth-management financial objectives. Creating Possibility is not just our mission, it’s what we do every day for clients and associates. Learn more about Sunflower Bank, N.A. at sunflowerbank.com. Sunflower Bank, N.A. is looking for an energetic, highly motivated individual to fill the position of a full-time Model Risk Analyst at our Dallas, TX location. Hybrid options available. Description: Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program, focusing on the annual assessment process, maintaining the model inventory, assisting in planning model validation, independent validation, and ongoing monitoring of quantitative models. This role ensures that models—used for credit risk, liquidity risk, market risk, capital planning, and BSA/AML—are conceptually sound, documented according to policy, and compliant with regulatory standards (e.g., SR 26-2). Primary Responsibilities Maintain the model inventory, ensuring it is up-to-date by confirming assigned models have correct attributes (status, owner, risk tier, review dates, etc.). Assist in model identification, classification, and risk rating. Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation. Ensure key details (assumptions, inputs, purpose, limitations) are clearly recorded in model documentation. Perform hands-on validation of new and existing models, challenging conceptual soundness, assumptions, inputs, and performance metrics. Conduct annual reviews and write annual review reports. Act as a key point of contact with model developers and owners to discuss validation findings and provide "effective challenge". Support requests received from third parties and Internal Audit related to model risk. Perform the job in accordance with applicable industry laws and regulations as well as the policies and procedures established by the company. Responsible for upholding Fair and Responsible Banking practices and Code of Ethics and Conduct guidelines. Perform other duties as assigned. Education / Experience Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field; master’s preferred. A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication. Advanced Excel skills, conditional formatting, and/or data analysis tools, and familiarity with data visualization tools. Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Pay is dependent on knowledge, skills, abilities, experience, and location. Working Conditions The physical demands of this position require the ability to perform essential job functions with or without reasonable accommodation. Employees may spend extended periods sitting or standing, using hands to operate computers or other equipment, and reaching for work-related tasks. Regular walking may be required, along with occasional bending, stooping, kneeling, or climbing. The role may involve lifting or moving items weighing up to 10 pounds. Vision requirements include close and distance vision, color and peripheral vision, depth perception, and the ability to adjust focus. Sunflower Bank Benefits People choose to “bank” with us, but for those we serve, we’re more than a bank. We strive to be the financial backbone of their lives, and we know that starts with our team. Our supportive culture empowers team members to grow and seize new opportunities. Like our namesake, the sunflower, we are: Rooted in Strength Propelled by Growth Individuals in a Great Whole Creating Possibility Community Focused Associates enjoy outstanding benefits, including: 401(k) Plan with 6% Match Health/Dental/Vision Insurance Company-paid Life Insurance Tuition Reimbursement Fitness Reimbursement Paid Time Off Volunteer Leave Paid Holidays Plus many more associate perks & incentives! If you qualify, apply online at www.sunflowerbank.com/careers. You’ve never worked anyplace like Sunflower Bank! EOE/AA: Minorities/Females/Disabled/Vets Sunflower Bank, N.A. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with a disability, sexual orientation, gender identity, or any other characteristic protected by law. Open until filled; early application encouraged. This vacancy announcement may be used to fill similar positions within 90 days. If you are a California resident, you may be entitled to certain rights regarding your personal information, which is information that identifies, relates to, or could reasonably be linked with a particular California resident or household. Additional information about our data collection practices and location-specific notices is available on our privacy policy.

Requirements

Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field
Minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines
Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication
Ability to perform hands-on validation of new and existing models
Ability to conduct annual reviews and write annual review reports

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

Excel SQL Python SAS

Sr. Manager, AI Audit & Automation

Fanatics Inc.

Full Time

$129k - $175k

2 days ago

Worldwide

Senior

API

Automation

Python

+3 more

Job Description

About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. The Role This role engineers the AI-enabled future of Internal Audit. The Sr. Manager, AI Audit & Automation designs, builds, and deploys production-grade AI and automation solutions that transform how audit work is planned, executed, and evidenced. The role combines hands-on AI engineering with deep integration into audit workflows, governance standards, and regulatory requirements. This is a building role. This role is measured by what is created, what is adopted, and what is auditable not by hours logged or meetings attended. The successful candidate builds working systems, trains audit teams on the tools being built, and continuously improves the production environment based on real engagement feedback. Results are measured in deployed tools, adopted workflows, and documented audit efficiency gains. The position reports to the Director, Technology Assurance, and partners closely with IT, Information Security, and the CAE to deliver audit-specific AI capabilities at enterprise scale. What You'll Do Partner with audit teams to define high-impact AI use cases, translating audit objectives into scalable technical solutions owing design and deployment end to end. Lead the build and rollout of AI-powered applications and automation frameworks across audit workflows, ensuring alignment with enterprise AI governance and applicable regulatory requirements. Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows from prototype through development, UAT, and production environments in partnership with IT. Manage Claude API and enterprise LLM integrations — prompt engineering, structured output design, error handling, and performance optimization. Build and maintain data pipelines connecting audit systems to AI workflows, including Active Directory, access management platforms, ERP data, and audit management tools. Design and execute full population audit testing using Alteryx, Python, or SQL — replacing sample-based testing where data access permits. Develop continuous monitoring scripts that flag control exceptions in real time rather than at periodic testing intervals. Establish performance metrics and continuously optimize deployed solutions to produce measurable, auditable improvements in audit efficiency and control evaluation quality. Produce and maintain comprehensive technical documentation: model artifacts, system architecture diagrams, validation protocols, and data lineage records that satisfy both internal audit standards and external scrutiny. Drive adoption within Internal Audit by designing user-centric implementations, translating technical concepts for non-technical audiences, and delivering hands-on training to ensure durable workflow integration. Evaluate emerging AI, machine learning, and LLM technologies on an ongoing basis to assess applicability and scalability within Internal Audit environments. Serve as the technical lead for audit management system integration, overseeing scalable connectivity of AI tools, workflow automation, and enterprise platforms. What We're Looking For 4+ years in data science, AI/ML, analytics, or software engineering. Hands-on production deployment of AI/ML solutions. Demonstrated experience building or managing AI agents and automation frameworks. Enterprise LLM tool experience — Claude, ChatGPT, Perplexity, or equivalent — including prompt engineering and structured output design. CI/CD, containerization, or MLOps implementation in an enterprise environment. Cloud platform experience in AWS, Azure, or GCP. Experience with large-scale data platforms such as Snowflake. Python and SQL proficiency. Functional HTML, CSS, and JavaScript for frontend development and dashboarding. REST API integration — consuming and orchestrating external APIs. Git — version control, branching, pull requests, and code review. Working knowledge of model governance, validation, and responsible AI practices. Understanding of AI ethics principles and applicable data privacy regulations (GDPR, CCPA, and equivalent). Ability to translate complex technical concepts into audit-relevant findings and stakeholder communications. Audit and domain knowledge Working knowledge of SOX IT General Controls Understanding of evidence sufficiency standards and workpaper documentation requirements. Familiarity with PCAOB AS 2605 or equivalent assurance standards. Experience deploying automation or analytics tools within an audit, risk, or compliance function. Ability to translate audit requirements into technical specifications independently. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related field is required. Advanced degree (MS or PhD) in Machine Learning, Statistics, or Computer Science is a plus. Preferred Experience Internal Audit, Risk, Compliance, or Financial Services experience. Familiarity with audit management systems or GRC platforms. Experience integrating AI tools with enterprise systems and platforms. Big 4 or advisory firm experience in audit technology practice. Digital commerce, e-commerce, or sports and entertainment industry background. Experience in a PE-backed or high-growth technology company environment. Preferred Credentials CISA, AAIA, CRISC, CISSP AWS, Azure, or GCP Machine Learning Specialty, or data science certifications. What We Offer Direct ownership of a high-visibility AI program with executive sponsorship and an existing foundation of production tools to build upon. Partnership with an engaged Director who has built the technical architecture and is looking for a builder, not a dependent. Collaboration with the CAE, VP Internal Audit, Sr. Director Organizational Change Management, CISOs, CTOs, CDOs, IT, Information Security, and business stakeholders across Fanatics. Competitive base salary, performance bonus, and benefits. The opportunity to shape how Internal Audit is delivered at one of the most recognized brands in sports and digital commerce. The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $129,000—$175,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

Requirements

Design, build, and deploy production-grade AI and automation solutions
Partner with audit teams to define high-impact AI use cases
Lead the build and rollout of AI-powered applications and automation frameworks
Manage Claude API and enterprise LLM integrations
Build and maintain data pipelines connecting audit systems to AI workflows
Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API Automation Python Claude API Enterprise LLM SOX ITGC Self-Assess Agents

Sr. Manager, AI Audit & Automation

Fanatics Inc.

Full Time

$129k - $175k

2 days ago

Worldwide

AI Audit / Assurance / Controls Testing

Senior

API

Automation

Python

+3 more

Job Description

Requirements

Design, build, and deploy production-grade AI and automation solutions
Partner with audit teams to define high-impact AI use cases
Lead the build and rollout of AI-powered applications and automation frameworks
Manage Claude API and enterprise LLM integrations
Build and maintain data pipelines connecting audit systems to AI workflows
Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API Automation Python Claude API Enterprise LLM SOX ITGC Self-Assess Agents

Risk Management – Model Risk Program Management – Vice President

JPMorgan Chase & Co.

Full Time

$119.7k - $191.1k

2 days ago

Worldwide

Senior

Risk Management

Model Risk

Governance

+5 more

Job Description

Join JPMorgan Chase and play a pivotal role in Risk Management and Compliance, ensuring the firm's strength and resilience. Use your expertise to anticipate risks and solve challenges that affect our company and communities. Our culture encourages innovative thinking and challenges the status quo. As a Model Risk Management – Program Management – Vice President, you'll support the management of model risk, governance activities are conducted to identify, measure, and mitigate model risk in the firm. Additionally, you will play a key role in regulatory, audit, and critical capital stress testing exercises such as CCAR. Your responsibilities will also include coordinating with the MRGR policy and MRGR product/technology teams to enhance model risk policy, procedures, and product/technology. Job responsibilities * Support model risk coverage activities for the respective MRGR Lines of Business, for example: prepare material for key Risk Committees and Forums, and model risk Business Review Meetings; lead model review and issue remediation planning and help Model Risk Officers with prioritization. * Monitor and report model risk metrics, and facilitate escalation when breaches occur * Centrally manage programs owned by MRGR to ensure the model risk framework’s smooth and effective execution, including processes like inventory confirmations, CCAR etc. * Engage with senior leaders, development and model review teams on model risk activities impacting their area including on Regulatory and Audit deliverables. * Identify process execution pain points and work with the other COO teams: Product, Policy and Analytics to come up with solutions and put tactical or strategic enhancements in place. Required qualifications, capabilities, and skills * Proven project/program management capabilities * Solid understanding of risk management frameworks and the Three Lines of Defense model in large organizations. Experience working closely with model risk and/or model development functions and experience in Model Risk Management * Strong stakeholder management and teamwork skills, with clear communication and effective relationship building * Ability to synthetize data and build commentary to share with a senior audience as needed. * Self-motivation, outstanding organizational skills and ability to work independently in a fast-paced environment. * Intellectual curiosity with a proven ability to learn quickly. Preferred qualifications, capabilities, and skills * A degree in an analytical field e.g. Business and Finance, Engineering, or Mathematics. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. 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. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Requirements

Proven project/program management capabilities
Solid understanding of risk management frameworks and the Three Lines of Defense model in large organizations
Experience working closely with model risk and/or model development functions and experience in Model Risk Management
Strong stakeholder management and teamwork skills, with clear communication and effective relationship building
Ability to synthetize data and build commentary to share with a senior audience as needed
Self-motivation, outstanding organizational skills and ability to work independently in a fast-paced environment
Intellectual curiosity with a proven ability to learn quickly

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Stock Options
Training Budget
Wellness Programs

Skills

Risk Management Model Risk Governance Compliance Regulatory Audit Model Risk Policy CCAR

Head of Data Protection & AI Compliance

AXA

Full Time

$120,000 - $180,000*

2 days ago

Ireland

Worldwide

AI Compliance & Legal

Senior

Data Protection

AI Compliance

Regulatory Requirements

+3 more

Job Description

AXA Ireland is seeking a strategic and experienced Head of Data Protection & AI Compliance to join our team, reporting directly to the Chief Risk Officer. In this pivotal role, you will lead and shape the all-Ireland data privacy and AI strategy, setting the standards and policies that underpin our commitment to responsible innovation. You will work closely with senior management to ensure that data privacy and AI considerations are embedded in our business ambitions, while providing assurance to the Board and Executive team on compliance and regulatory risks. If you are passionate about shaping the future of responsible data and AI governance, this is an exciting opportunity to play a key role in AXA Ireland’s continued growth and integrity. 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: Lead, energise, and engage high-performing teams through feedback, coaching, and effective communication, fostering a culture of development and inclusion. Empower colleagues to act, seek learning opportunities, and create a sense of belonging, while promoting a customer-first approach. Maintain a high-performing team focused on delivering growth, innovation, and excellent customer journeys aligned with AXA’s values. Develop and implement robust Data Privacy and AI Compliance policies, ensuring adherence to regulatory requirements and Group standards. Support the Executive Team and Board by driving continuous improvement of AXA’s Data Protection and AI Framework, providing high-quality reporting and insights. Deliver training and communication to promote awareness of regulatory obligations and embed a culture of compliance across the organisation. Oversee incident response, manage data subject requests, and ensure compliant handling of sensitive data and AI-related activities. Coordinate with cross-functional teams to monitor key risk indicators, manage data incidents, and ensure effective resolution of data and AI issues. Lead project sign-offs, manage resources efficiently, and oversee budgets within delegated authorities to achieve strategic and financial objectives. Support with drafting confidentiality agreements, ensure compliance in project processes, and contribute to a customer-centric, innovative data privacy environment. What we’re looking for: A minimum of 10 years’ experience in a data protection/legal environment/similar level role, ideally with previous experience/exposure to the insurance/financial industry. A Professional Certificate in Insurance (APA Personal & Commercial) and/or other equivalent insurance qualification such as DII and/or data protection equivalent is ideally required. A Qualified solicitor or equivalent experience in a Data protection role. and/or Compliance Institute – Professional Certificate in Compliance or other appropriate Data Protection Qualification. Experience in developing and navigating the evolving landscape of AI and related regulations. Proven ability to provide clear, concise advice to senior management and Board sub-committees. Exposure to regulatory bodies or AXA Group functions (where relevant), with detailed knowledge of financial services, data privacy, AI regulation, and technology. Strong interpersonal skills, capable of influencing and challenging stakeholders at all levels to drive compliance and behavioral change. Credibility built through a combination of commercial acumen and technical expertise, with the ability to scrutinise and challenge business plans. Excellent analytical, problem-solving, and strategic thinking skills, with a pragmatic approach to decision-making. Good understanding of key processes, controls, and organizational structures within the company. Adaptable, forward-thinking, and able to thrive in a fast-paced environment, leading change effectively. Exceptional communication and presentation skills, with the ability to convey complex concepts clearly and impactfully. Strong leadership, motivation, and collaboration skills, with a pragmatic and common-sense approach to work. This role is allocated CF1 role 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. As a precondition of employment for this role, you must be eligible and authorized to work in Ireland and/or the United Kingdom. This recruitment campaign will be used to support permanent, temporary and/or extension for any upcoming similar positions.

Requirements

Minimum 10 years' experience in a data protection/legal environment/similar level role
Professional Certificate in Insurance (APA Personal & Commercial)
Qualified solicitor or equivalent experience in a Data protection role
Previous experience/exposure to the insurance/financial industry
Ability to lead and shape data privacy and AI strategy
Ability to work closely with senior management
Ability to provide assurance to the Board and Executive team on compliance and regulatory risks

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Data Protection AI Compliance Regulatory Requirements Data Privacy AI Governance Group Standards

AI Controls & Product Management Associate

JPMorgan Chase & Co.

Full Time

$100,000 - $150,000*

2 days ago

Worldwide

AI Policy, Enablement & Training

Mid

AI/ML Concepts

Tableau

JIRA

+1 more

Job Description

The AI Controls & Product Management Associate is responsible for managing controls-related applications, conducting AI controls reviews across new use cases, and contributing to the development and execution of the controls AI strategy. If you are interested to contribute in this development then this is a role for you! As an AI Controls & Product Management Associate within JPMorgan, you'll be responsible for owning and managing controls-related applications and tooling, ensuring they are fit for purpose and continuously improved to meet the needs of the business. You will play a key role in reviewing AI controls within new use cases being implemented across the business, ensuring risks are appropriately identified and mitigated. The role also contributes to shaping and steering the controls AI strategy, identifying where AI can be leveraged to enhance and evolve the controls environment. Job responsibilities * Act as Product Owner for controls-related applications and tooling, managing the product backlog, defining user stories, prioritising features, and working closely with development teams to deliver iterative improvements aligned to business needs. * Review and assess AI controls within new use cases being implemented across the business, evaluating associated risks such as model risk, data integrity, bias, explainability, and regulatory compliance, ensuring appropriate controls are in place prior to and following deployment. * Contribute to the development and execution of the controls AI strategy, proactively identifying and evaluating opportunities where AI can be incorporated into controls-related tooling and workflows in a governed and controlled manner. * Partner with technology and business stakeholders to ensure controls-related applications and AI implementations are aligned to business requirements, risk appetite, and change management protocols. Required qualifications, capabilities, and skills * Experience in financial services industry with background in controls, audit, quality assurance, operational risk management, or compliance; or equivalent subject matter expertise in a relevant business related function/operation. * Experience in product ownership or product management, including managing backlogs, defining user stories, and working with agile methodologies and tools such as JIRA. * Familiarity with AI/ML concepts and AI governance or risk frameworks, with the ability to critically assess risks associated with AI implementations in a regulated financial services environment. * Hands-on experience with data analytics and automation tooling (e.g., Alteryx, Tableau, or similar low-code platforms). J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Requirements

Experience in financial services industry
Product ownership or product management
Familiarity with AI/ML concepts
Hands-on experience with data analytics and automation tooling
Ability to critically assess risks associated with AI implementations
Strong communication and collaboration skills

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Training Budget

Skills

AI/ML Concepts Tableau JIRA Alteryx

Senior Manager, Product & AI Policy

Airbnb

Full Time

$204k - $255k

2 days ago

Worldwide

Senior

Machine Learning

Policy Development

+4 more

Job Description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: In Community Policy, our mission is to create and evolve principled policies that establish the rules of the road for guests and hosts across Airbnb. This involves solving some of the most complex Trust & Safety challenges of our time. Our work is informed by rigorous research and stakeholder collaboration, and we design policies that can support our community at scale. We team with our cross-functional partners to create accessible policy enforcement guides and to continuously maintain and improve our policies. The Difference You Will Make: As a Senior Manager, Product & AI Policy, you will partner closely with our product and business teams to support Airbnb's strategic objectives. You will serve as a key player in identifying policy vulnerabilities and designing global policies that facilitate a high quality experience across Airbnb. A critical part of this role is enabling our business and product teams to move quickly and confidently, with policy frameworks that support innovation. You will develop policies for AI-powered product initiatives, informing guardrails that protect the community. This role entails understanding the needs of hosts and guests and collaborating closely with our business, design, and product teams. The policies you build will directly shape how millions of hosts and guests experience Airbnb and their confidence in the platform. About You You are a seasoned Product Policy leader who loves solving complex problems and has a track record of strong cross-functional collaboration. You are experienced working with business and product teams to understand their strategic objectives and to deliver policy solutions that enable business goals. You see yourself as a partner to the business, not a gatekeeper. You have deep experience developing AI policy, including supporting the deployment of AI features in consumer products. You are fluent in the evolving AI policy landscape and can translate complex AI considerations into practical, actionable guidance. You are an excellent communicator with exceptional writing skills. You are an adept presenter with experience engaging with all levels of leadership, including senior executives. You are principled and rigorous, and incorporate diverse perspectives in pursuit of the best decisions and outcomes possible. You are proactively data-driven: you don't wait for problems to surface — you seek out data, research, and insights to identify gaps and opportunities to improve policies before they become issues. You are knowledgeable and experienced at creating and implementing policies, and have a deep background on and passion for business policy and commercial policy issues. You are a team player who thrives in a fast-moving environment and brings a strategic mindset to your work. A Typical Day: Lead policy development for new and existing product areas, including AI-powered features, drafting clear and scalable policy frameworks that keep pace with product innovation Collaborate with cross-functional stakeholders across the organization, including Product, Business, Supply, Design, Communications, Operations, Public Policy, and Legal Foster, build, and maintain relationships with leadership of internal business verticals, acting as a trusted policy partner who helps teams move forward Guide policy operationalization efforts in partnership with cross-functional stakeholders Support product and AI feature launches with appropriate risk mitigation guidance and policy deliverables Proactively use data, research, and community insights to evaluate existing policies, identify improvement opportunities, and drive revisions before issues escalate Your Expertise: 10+ years experience in a Policy, Legal, or Trust and Safety role Prior leadership on product policy, with demonstrated experience developing AI policy in support of AI-driven product initiatives Familiarity with the AI policy landscape Demonstrated capacity for critical thinking, research, and analysis Strong attention to detail Exceptional writing and communication skills Thoughtful business judgment, strategic thinking, and ability to work well under pressure Proven ability to partner with and enable business teams, translating policy requirements into practical solutions that support commercial objectives Experience working in a matrix and driving solutions to complex problems through cross-functional collaboration Fluency in data analysis and data-driven decision-making, including proactively using data to surface policy improvement opportunities Ability to explain and simplify complex information to others Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $204,000—$255,000 USD

Requirements

5+ years of experience in AI policy development
Strong understanding of AI and machine learning concepts
Excellent writing and presentation skills
Ability to collaborate with cross-functional teams
Experience with data analysis and interpretation
Strong communication and interpersonal skills
Ability to work in a fast-paced environment
Strong problem-solving skills

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus

Skills

AI Machine Learning Policy Development Data Analysis Writing Presentation Cross-functional Collaboration

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Staff

Python

ISO 27001

ISO 27701

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role candidates must have considerable production experience. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will design and execute structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python ISO 27001 ISO 27701 ISO 27017 Adversarial Machine Learning SOC 2 AI Deployment Architectures

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Staff

Python

ISO 27001

ISO 27701

+4 more

Job Description

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python ISO 27001 ISO 27701 ISO 27017 Adversarial Machine Learning SOC 2 AI Deployment Architectures

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Staff

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python Adversarial Machine Learning AI Deployment Architectures ISO 27001 SOC 2 ISO 27701 ISO 27017

AI Security Expert - 115

Full Time

Up to PHP 150k

2 days ago

Worldwide

Senior

PyTorch

TensorFlow

Containerized Environments

+4 more

Job Description

Position: AI SECURITY EXPERT Salary range: up to ₱150,000 Philippine Peso (with the final offer subject to the client’s discretion based on the candidate’s experience) Working Hours: AU/NZ business hours Work set-up: 100% Remote work Holidays: New Zealand Holidays COMPANY OVERVIEW Our company is a leading-edge workforce and asset management platform dedicated to resourcing seamlessly at scale. We empower industries with mobile workforces—such as construction, healthcare, and logistics—by streamlining complex scheduling, compliance, and safety workflows through intelligent automation. OVERVIEW ON THE ROLE The AI Security Expert bridges the gap between cybersecurity and machine learning to protect AI systems from emerging threats while ensuring models are secure, compliant, and resilient. You will proactively manage risks unique to AI environments—such as adversarial attacks and data poisoning—to build trustworthy, production-ready systems that are robust against an evolving cyber threat landscape. Core Responsibilities Your focus will be on the end-to-end security of our AI lifecycle, specifically targeting the following areas: Pipeline Security: Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering. Adversarial Defense: Proactively identifying and preventing adversarial attacks, including input manipulation, model inversion, and data poisoning. Intellectual Property & Privacy: Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property. Threat Modeling & Red Teaming: Conducting AI-specific threat modeling and internal "red team" exercises to discover vulnerabilities before they can be exploited. Governance & Compliance: Ensuring all AI initiatives align with global security standards (e.g., ISO/IEC 42001, NIST AI RMF), ethical guidelines, and emerging AI governance frameworks. Qualifications & Technical Skills Process thinking and systems design Problem solving and analytical skills Strong stakeholder communication Strategic thinking with practical implementation ability Ability to translate technical solutions for non-technical teams Outcomes / Success Measures Success in this role will be measured by: Reduction in manual processes Increased operational efficiency Successful deployment of AI-powered workflows Improved data-driven decision making Scalable automation infrastructure Required To excel in this role, you will need a unique blend of traditional cybersecurity expertise and deep learning proficiency. AI/ML Proficiency: Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow) and the underlying mathematics of model architectures. Adversarial AI Knowledge: Proven experience with adversarial machine learning techniques, such as Gradient-based attacks, Evasion attacks, and Model Extraction. Secure Software Development: Expertise in securing CI/CD pipelines and containerized environments (Docker, Kubernetes) specifically for ML workloads. Data Protection: Proficiency in privacy-preserving technologies such as Differential Privacy, Homomorphic Encryption, or Federated Learning. Cloud Security: Deep experience with security configurations in AWS, Azure, or GCP, specifically regarding managed AI services (e.g., SageMaker, Vertex AI). Education Education: A Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related field. Professional Background: 5+ years of experience in Cybersecurity, with at least 2 years specifically focused on AI/ML security or research. Certifications: Relevant certifications such as CISSP, CISM, or specialized AI certifications (e.g., Certified AI Security Professional) are highly regarded.

Requirements

Strong understanding of machine learning frameworks and the underlying mathematics of model architectures.
Proven experience with adversarial machine learning techniques.
Expertise in securing CI/CD pipelines and containerized environments.
Ability to translate technical solutions for non-technical teams.
Strong stakeholder communication and strategic thinking with practical implementation ability.
Problem solving and analytical skills with process thinking and systems design.
Ability to conduct AI-specific threat modeling and internal 'red team' exercises.

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

PyTorch TensorFlow Containerized Environments CI/CD Pipelines Gradient-based attacks Evasion attacks Model Extraction

AI Security Expert - 115

Full Time

Up to PHP 150k

2 days ago

Worldwide

Senior

PyTorch

TensorFlow

Gradient-based attacks

+4 more

Job Description

Requirements

Strong understanding of machine learning frameworks and the underlying mathematics of model architectures.
Proven experience with adversarial machine learning techniques.
Expertise in securing CI/CD pipelines and containerized environments.
Ability to translate technical solutions for non-technical teams.
Strong stakeholder communication and strategic thinking with practical implementation ability.
Problem solving and analytical skills with process thinking and systems design.
Ability to conduct AI-specific threat modeling and internal 'red team' exercises.

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

PyTorch TensorFlow Gradient-based attacks Evasion attacks Model Extraction CI/CD Pipelines Containerized Environments

Sr. Staff AI Security Engineer, AI Native Platform

Life360

Full Time

$209k - $309k

4 days ago

Worldwide

Senior

API

Security

+1 more

Job Description

About Life360 Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 95.8 million monthly active users (MAU), as of December 31, 2025, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. We Are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Team The AI Native Platform team is a cross-functional engineering organization built to lay the infrastructure foundations for Life360's AI-native transformation. We are not exploring what might be possible, we are building the platform that makes it operational. The team works across four interconnected areas: how Life360 safely accesses and governs the use of frontier AI models and external integrations; the agent deployment and workflow infrastructure that lets teams build, test, version, and operate autonomous agents with the same rigor applied to any production software; how we safely democratize data, information, and knowledge across the organization, making it queryable and usable by AI systems and humans reliably; and a multiplayer AI workbench that gives every employee a purpose-built environment tuned to their role, with relevant tools, knowledge, and workflows rather than a general-purpose chat interface. The work is deliberate, high-velocity, and built to last. The bar is high: real use cases, production deployments, measurable outcomes. Security is not a checkpoint on this team. It is part of how we build. We are looking for engineers who want to be in the room where the architecture is designed and in the codebase where it's being built. About the Job We are hiring a Sr. Staff AI Security Engineer to secure Life360's AI infrastructure as it takes shape. You will sit within the AI Native Platform team, reporting directly to the CISO, working alongside the engineers designing and building each layer of the platform. This role is grounded in execution with real architectural reach. You'll drive delivery across key security domains while contributing to design decisions that shape how the platform is built. The patterns we are securing are still being defined, and part of the work is building and validating those patterns under real conditions. You’ll be active in architecture reviews, own security implementation across your domains, and build the controls that make it safe to move fast with AI. In a domain where the playbooks are still being written, part of the role is writing them. You won't be doing this alone, you'll work alongside additional security engineers and the broader team building the platform, with the expectation that this function grows as the platform does. The data at stake has real weight. Life360's systems carry real-time location data and family relationship graphs for tens of millions of people, including children. These are crown jewels in the truest sense — irreplaceable to the families who trust us with them. Securing the AI systems that interact with this data is not a compliance exercise. It is a core obligation of the product. The US-based salary range for this position is $209,000 to $309,000. We take into consideration an individual's background and experience in determining final salary — therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You'll Do Secure how Life360 accesses frontier models. Design, build, and iterate the access controls, policy enforcement, and authorization patterns that govern how systems interact with the frontier models they rely on. Build secure patterns for MCP access and tool use authorization. Build and own the controls that vets, risk-tier, and govern how we integrate with external tools and services via MCP as adoption expands across engineering teams. Design and build the identity and authorization model for autonomous agents: service identities, scoped credentials, and least-privilege access patterns. Define and enforce the trust boundaries that govern how agents interact across orchestration chains. Design and build agentic observability and adversarial defenses. Build the telemetry pipelines and behavioral monitoring that provide visibility into AI system behavior. Implement architecture-level defenses against prompt injection and related adversarial attack classes. Shape security for the common AI end-user platform. Lead design reviews, build access controls, data boundary enforcement, and abuse detection that keep a shared AI environment safe across users with different privilege levels. Secure the shared knowledge layer. Define access control and data governance for retrieval augmented and reasoning systems, ensuring AI-powered tools don't surface sensitive data to the wrong systems or users. Build AI supply chain integrity into the platform. Develop model provenance practices, service vetting, and dependency controls that keep the AI stack trustworthy as it grows. Partner with Privacy, Legal, and Data Platform to ensure the right controls are built into pipelines handling real-time location, family relationship data, and data involving minors. What We're Looking For 12+ years in security engineering with depth in application security, cloud security, IAM, or detection — and a track record of building controls that earn adoption, not just approval. Hands on builder shipping security controls that hold up in production. You’re not an advisor but a practitioner that can define patterns that last Hands-on fluency with LLM and agentic systems. You've built with these tools, broken them, and shipped fixes for prompt pipelines , RAG architectures, and multi-agent orchestration from the inside. Solid grounding in IAM for non-human systems: service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scale. Experience with production telemetry and detection — defining detections and building response paths for threat surfaces without established playbooks. Comfort with ambiguity and in-flight builds. You're energized by figuring things out — writing first-draft standards, testing approaches, and scaling what works. Strong cross-functional communication and the ability to push back when it matters. You carry risk, tradeoffs, and technical decisions across engineering, product, and security leadership without losing precision — and can reshape a risky decision clearly and constructively. Familiarity with NIST AI RMF, OWASP LLM Top 10, and adjacent compliance environments for consumer data at scale. Bachelor's degree or equivalent experience in Computer Science, Information Security, or a related field. Bonus points if you have: Experience with frontier model API security, tool-use authorization patterns, or access governance for AI systems at scale. Hands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or similar) and their trust, identity, and authorization challenges. Familiarity with knowledge graph architectures, vector stores, or RAG systems — and the access control and data boundary problems they introduce. Red teaming or adversarial testing against AI systems: prompt injection, jailbreaks, data extraction, model inversion, or supply chain attacks. Background in consumer technology or another domain where personal data sensitivity is a core product obligation — not just a legal requirement. Experience designing or reviewing security for internal enterprise AI platforms serving non-technical users. Our Benefits Competitive pay and benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Flexible PTO, 13 company-wide days off throughout the year Winter and Summer Weeklong Synchronized Company Shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership for your preferred circle Free Tile Products Life360 Values Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference. Be a Good Person — We have a team of high integrity people you can trust. Be Direct With Respect — We communicate directly, even when it's hard. Members Before Metrics — We focus on building an exceptional experience for families. High Intensity, High Impact — We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

Requirements

Design and implement secure AI systems and models
Develop and maintain secure APIs and microservices
Collaborate with cross-functional teams to ensure security and compliance
Conduct security risk assessments and vulnerability testing
Develop and implement security policies and procedures
Stay up-to-date with the latest security threats and technologies
Collaborate with the security team to identify and mitigate security risks
Develop and maintain secure coding practices and standards

Benefits

401k Matching
Health Insurance
Remote Work
Flexible Hours
Paid Time Off
Stock Options

Skills

API AI Security Engineering

Principal AI Security Engineer, AI Native Platform

Life360

Full Time

$239.5k - $351.5k

4 days ago

Worldwide

Senior

API

Security

+1 more

Job Description

About Life360 Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 95.8 million monthly active users (MAU), as of December 31, 2025, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. We Are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Team The AI Native Platform team is a cross-functional engineering organization built to lay the infrastructure foundations for Life360's AI-native transformation. We are not exploring what might be possible, we are building the platform that makes it operational. The team works across four interconnected areas: how Life360 safely accesses and governs the use of frontier AI models and external integrations; the agent deployment and workflow infrastructure that lets teams build, test, version, and operate autonomous agents with the same rigor applied to any production software; how we safely democratize data, information, and knowledge across the organization, making it queryable and usable by AI systems and humans reliably; and a multiplayer AI workbench that gives every employee a purpose-built environment tuned to their role, with relevant tools, knowledge, and workflows rather than a general-purpose chat interface. The work is deliberate, high-velocity, and built to last. The bar is high: real use cases, production deployments, measurable outcomes. Security is not a checkpoint on this team. It is part of how we build. We are looking for engineers who want to be in the room where the architecture is designed and in the codebase where it's being built. About the Job We are hiring a Principal AI Security Engineer to secure Life360's AI infrastructure as it takes shape. You will sit within the AI Native Platform team, reporting directly to the CISO, working alongside the engineers designing and building each layer of the platform. This role requires both architectural depth and hands-on execution, often in the same week. You will define the security architecture other engineers build within; the trust model, authorization framework, data boundary topology, and threat model. Guide the coherence of these patterns across the teams building model access, agent infrastructure, the knowledge layer, and the end-user platform to interoperate securely and drift doesn't introduce systemic risk. The patterns we are securing are still being defined. Part of the work is figuring out which approaches hold up under real conditions, which ones don't, and scaling what works.You won't be doing this alone, you'll work alongside additional security engineers and the broader team building the platform, with the expectation that this function grows as the platform does. The data at stake has real weight. Life360's systems carry real-time location data and family relationship graphs for tens of millions of people. These are crown jewels in the truest sense — irreplaceable to the families who trust us with them. Securing the AI systems that interact with this data is not a compliance exercise. It is a core obligation of the product. The US-based salary range for this position is $239,500 to $351,500. We take into consideration an individual's background and experience in determining final salary — therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You'll Do Own the security strategy for frontier model access and MCP governance. Define how we securely connect to frontier models and external tool integrations: the risk framework, the authorization architecture, and the escalation model before those patterns harden at scale. Set the direction that builders implement within Architect the identity and trust model for non-human agents. Define how agents authenticate, how trust is established and revoked across orchestration chains, and how the model evolves as agent capabilities expand, covering service identities, scoped credentials, and least-privilege access patterns across the platform. Set the adversarial defense posture for AI systems in production. Define our approach to prompt injection defense, adversarial input handling, and behavioral monitoring patterns and establish the detection philosophy, telemetry requirements, and response framework the team builds and operates within. Shape security architecture for the common AI end-user platform. Lead design reviews and build the access controls, data boundary enforcement, and abuse detection that keep a shared AI environment safe across an employee population with varying privilege levels. Secure the shared knowledge layer. Define access control and data governance for retrieval and reasoning, ensuring AI-powered tools don't inadvertently surface sensitive data to the wrong systems or users. Build AI supply chain integrity into the platform. Develop model provenance practices, service vetting, and dependency controls that keep the AI stack trustworthy as it grows. Partner with Privacy, Legal, and Data Platform to ensure the right controls are built into pipelines handling real-time location, family relationship data, and data involving minors. What We're Looking For 15+ years in security engineering with depth in application security, cloud security, IAM, or detection. A track record of building controls that earn adoption, not just approval. Security architecture ownership you’ve defined at the platform level in terms of trust models, data boundary topologies, and long-term viability that produces security outcomes without grinding velocity. Hands-on fluency with LLM and agentic systems. You've built with these tools, broken them, and shipped fixes for prompt pipelines , RAG architectures, and multi-agent orchestration from the inside. Deep grounding in IAM for non-human systems: service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scale. You’ve designed and built identity systems, not just consumed them Experience with production telemetry and detection at an architectural level. You’ve defined security observability strategies, not just individual detections Comfort with ambiguity and in-flight builds. You're energized by figuring things out, writing first-draft standards, testing approaches, and scaling what works. Strategic judgement on when to build v. buy and ability to lead the organization to wise investments. Strong cross-functional communication across engineering, product, legal, privacy, and senior leadership. You carry risk, tradeoffs, and technical decisions without losing precision.. You’ve contributed or ready to contribute to the security industry. We’re shaping these patterns together and you’re willing to represent Life360 in these conversations. Familiarity with NIST AI RMF, OWASP LLM Top 10, and adjacent compliance environments for consumer data at scale. Bachelor's degree or equivalent experience in Computer Science, Information Security, or a related field. Bonus points if you have: Experience with frontier model API security, tool-use authorization patterns, or access governance for AI systems at scale. Hands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or similar) and their trust, identity, and authorization challenges. Familiarity with knowledge graph architectures, vector stores, or RAG systems — and the access control and data boundary problems they introduce. Red teaming or adversarial testing against AI systems: prompt injection, jailbreaks, data extraction, model inversion, or supply chain attacks. Background in consumer technology or another domain where personal data sensitivity is a core product obligation — not just a legal requirement. Experience designing or reviewing security for internal enterprise AI platforms serving non-technical users. Our Benefits Competitive pay and benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Flexible PTO, 13 company-wide days off throughout the year Winter and Summer Weeklong Synchronized Company Shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership for your preferred circle Free Tile Products Life360 Values Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference. Be a Good Person — We have a team of high integrity people you can trust. Be Direct With Respect — We communicate directly, even when it's hard. Members Before Metrics — We focus on building an exceptional experience for families. High Intensity, High Impact — We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

Requirements

Design and implement secure AI systems and models
Develop and maintain secure APIs and microservices
Collaborate with cross-functional teams to ensure security and compliance
Conduct security risk assessments and vulnerability testing
Develop and implement security policies and procedures
Stay up-to-date with the latest security trends and technologies
Participate in code reviews and ensure secure coding practices
Develop and maintain security documentation and reports

Benefits

401k Matching
Health Insurance
Remote Work
Flexible Hours
Paid Time Off
Stock Options

Skills

API AI Security Engineering

AI Security Engineer

YipitData (Alternative)

Full Time

$230k - $280k

4 days ago

United States

Worldwide

Senior

OWASP

NIST AI RMF

AI/ML systems

+5 more

Job Description

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Los Angeles (CA), Cupertino (CA), Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: We are seeking an AI Security Engineer to lead the implementation, monitoring, and continuous improvement of security, governance, and trust controls for AI systems across the organization. This role will focus on operationalizing AI system security controls using the Agentic Trust Framework mapped to OWASP guidance and the NIST AI RMF, with particular emphasis on observability engineering, behavioral monitoring, policy enforcement, misuse detection, and risk-informed response. This person will serve as a bridge between Security, Engineering, Data, Platform, Compliance, and AI product teams to ensure AI systems are not only functional and performant, but also trustworthy, auditable, resilient, and aligned with enterprise governance requirements. The ideal candidate combines technical depth in AI/ML systems, strong security and monitoring instincts, and the ability to define practical controls for complex, fast-evolving agentic and generative AI environments. We expect U.S. based working hours with the majority of the team working East and Central Time Zones. In this role, you will: Own AI behavior monitoring: Define what trustworthy and untrustworthy AI behavior looks like, and ensure it is measurable in production. Own AI observability standards: Establish telemetry, tracing, logging, and alerting requirements for AI systems and agentic workflows. Own control validation for agentic systems: Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended. Own AI security event analysis: Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors and coordinate response. Own implementation support for governance frameworks: Translate governance principles into technical and operational requirements that product and platform teams can adopt. Own AI trust metrics and reporting: Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries. Own continuous improvement of AI controls: Use incidents, testing, behavioral findings, and stakeholder feedback to strengthen control design and reduce residual risk over time. You Are Likely To Succeed If: 5+ years of experience in one or more of the following: security engineering, detection engineering, observability engineering, site reliability engineering, application security, ML platform engineering, or AI governance implementation. Experience designing monitoring, logging, telemetry, or detection strategies for distributed systems, cloud services, or data-intensive applications. Familiarity with AI/ML system architecture, including large language models, retrieval-augmented generation, inference pipelines, model APIs, and agentic workflows. Experience translating governance, risk, or policy requirements into operational controls and measurable technical requirements. Strong understanding of security concepts such as identity and access management, least privilege, data protection, abuse prevention, auditability, and incident response. Experience investigating system behavior, identifying anomalies, and working cross-functionally to drive remediation. Hold industry certifications (or equivalent experience): CISSP, CCSP, GIAC Machine Learning Engineer (GMLE) Strong written communication skills, including ability to write standards, control definitions, runbooks, and leadership-facing summaries. Preferred Qualifications: Experience with AI observability tooling, tracing frameworks, or telemetry pipelines for LLM or agent-based systems. Experience implementing controls for AI safety, AI red teaming, prompt security, model misuse detection, or secure tool execution. Familiarity with Microsoft security, compliance, and AI governance ecosystems. Familiarity with trust and safety concepts for generative AI and autonomous systems. Experience supporting internal governance, risk, privacy, or compliance review processes for AI-enabled products. Experience building dashboards, alerts, and behavioral analytics for security or operational monitoring. Experience working in highly regulated or audit-sensitive environments. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! The annual on-target earnings for this position is anticipated to be up to $230 ~ $280K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have have US offices in Austin, Miami, Los Angeles (CA), and Cupertino (CA). If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

Requirements

Define trustworthy and untrustworthy AI behavior
Establish telemetry, tracing, logging, and alerting requirements for AI systems
Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended
Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors
Translate governance principles into technical and operational requirements
Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

OWASP NIST AI RMF AI/ML systems Policy Enforcement Agentic Trust Framework Observability engineering Behavioral monitoring Misuse detection

AI Security Engineer

YipitData

Full Time

$230k - $280k

4 days ago

Worldwide

Senior

Agentic Trust Framework

OWASP

NIST AI RMF

+5 more

Job Description

Requirements

Define trustworthy and untrustworthy AI behavior
Establish telemetry, tracing, logging, and alerting requirements for AI systems
Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended
Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors
Translate governance principles into technical and operational requirements
Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Agentic Trust Framework OWASP NIST AI RMF AI/ML systems Observability engineering Behavioral monitoring Policy Enforcement Misuse detection

AI Security Specialist

iFood

Full Time

$120,000 - $180,000*

5 days ago

Worldwide

Senior

Python

Git

+5 more

Job Description

Nosso Modo de Fazer no Time: Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante. Seu Cardápio Diário: Como AI Security Specialist, você vai apoiar o time de AI Security na proteção do ecossistema de Inteligência Artificial do iFood, atuando em iniciativas envolvendo LLMs, agentes, modelos de Machine Learning, plataformas internas, pipelines de deployment e integrações com dados sensíveis. No dia a dia, você irá: Apoiar testes de segurança em aplicações baseadas em LLMs, incluindo cenários de prompt injection, jailbreak, vazamento de dados, abuso de ferramentas e manipulação de contexto. Executar casos de teste em agentes internos e user-facing, seguindo playbooks definidos pelo time. Contribuir para a evolução de suítes de testes usando ferramentas como Promptfoo ou equivalentes. Apoiar a análise de alertas e sinais gerados por controles como LLM Firewall, guardrails, Anonymizer e AI Gateway. Realizar validações funcionais e testes de regressão em serviços e controles de AI Security. Apoiar análises básicas de logs, métricas e eventos relacionados ao tráfego de LLMs, agentes e plataformas internas. Ajudar na identificação de falsos positivos, falsos negativos e oportunidades de melhoria em regras, heurísticas e políticas de detecção. Apoiar revisões de segurança em MCPs, skills e ferramentas usadas por desenvolvedores ou agentes. Contribuir com testes básicos relacionados à segurança de artefatos de ML, supply chain e quality gates em pipelines. Documentar achados técnicos, evidências, FAQs, guias, playbooks e boas práticas de forma clara, objetiva e acionável. Apoiar iniciativas de educação, awareness, CTFs, meetups, pesquisa aplicada e consolidação de referências técnicas. Ingredientes Que Buscamos: Conhecimento em segurança da informação, desenvolvimento de software, infraestrutura ou áreas correlatas. Noções de APIs, HTTP, autenticação, autorização, logs e análise básica de eventos. Conhecimento em pelo menos uma linguagem de programação, preferencialmente Python, Go ou JavaScript/TypeScript. Familiaridade com Git, GitLab/GitHub, pipelines CI/CD e leitura de código. Interesse em Inteligência Artificial, LLMs, agentes, Machine Learning ou segurança aplicada à IA. Capacidade de ler documentação técnica e transformar aprendizados em testes, checklists ou recomendações simples. Experiência em documentar testes, achados, evidências e recomendações. Experiência em análises de logs, permissões, prompts, configurações e fluxos de dados. Curiosidade técnica, vontade de aprender e capacidade de evoluir com orientação e feedback. Responsabilidade ao lidar com dados sensíveis, credenciais, ambientes internos e resultados de testes de segurança. Para Realçar o Sabor: Experiência acadêmica como iniciação científica, pós-graduação, cursos de extensão, ou outros em IA, dados ou engenharia de software. Conhecimento básico sobre OWASP Top 10, OWASP Top 10 for LLM Applications ou conceitos de threat modeling. Familiaridade com prompt injection, jailbreaks, data leakage, tool abuse ou ataques contra aplicações LLM. Experiência com ferramentas de teste, automação, scripting ou organização de evidências. Familiaridade com conceitos de MCP, skills, agentes, AI gateways, token exchange ou propagação de identidade. Interesse em ML Security, supply chain de modelos, segurança de datasets, dependências ou artefatos de Machine Learning. Participação em CTFs, comunidades técnicas, grupos de pesquisa, meetups ou iniciativas de escrita técnica. Interesse em pesquisa aplicada em AI Security, LLM Security, Agent Security ou ML Security. Buscamos uma pessoa apaixonada por segurança em tecnologia, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!

Requirements

Conhecimento em segurança da informação
Desenvolvimento de software
Infraestrutura
Noções de APIs
Autenticação
Autorização
Análise básica de eventos
Conhecimento em pelo menos uma linguagem de programação

Benefits

Health Insurance
Dental Insurance
Disability Insurance
Employee Assistance Program
Flexible Hours
Gym Membership
Home Office Budget
Internet Stipend

Skills

Python Go Git APIs JavaScript/TypeScript GitLab/GitHub HTTP Authentication

Sr Director, Responsible AI Assurance & Validation - Remote

UnitedHealth Group

Full Time

$159.3k - $273.2k

5 days ago

Worldwide

Senior

Python

Machine Learning

Data Science

+5 more

Job Description

UnitedHealth Group is a health care and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of two distinct and complementary businesses, UnitedHealthcare and Optum, working to build a better health system for all. Here, your contributions matter as they will help transform health care for years to come. Make an impact with a team that shares your passion for helping others. Join us to start Caring. Connecting. Growing together. This role is part of UnitedHealth Group’s Responsible AI Program. The Senior Director, Responsible AI Assurance & Validation will provide technical and strategic leadership for a team of data scientists focused on advancing responsible, ethical, and compliant AI solutions across healthcare applications. This position combines deep expertise in data science with healthcare innovation, AI ethics, and regulatory compliance. The Senior Director, Responsible AI Assurance & Validation will set the technical direction for responsible AI testing and validation methodologies, oversee model risk evaluation practices, and ensure scalable, repeatable governance processes across AI use cases—including Generative AI and traditional machine learning systems. In this role, you will partner closely with Legal, Compliance, Information Security, Business, and AI Engineering teams to proactively identify and mitigate risk. You will lead the development of robust testing frameworks and champion best practices that shape the future of ethical AI in healthcare. This leader will manage and mentor a team of data scientists, fostering technical excellence, continuous learning, and a solid culture of accountability and innovation. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: Define and execute the technical vision and roadmap for responsible AI testing and validation across AI/ML systems Establish scalable evaluation frameworks for traditional ML and Generative AI systems, including LLM-based applications Evaluate and prioritize AI risks based on business impact, regulatory exposure, patient/member safety, and reputational considerations Distinguish between critical risks requiring remediation and manageable risks addressable through mitigation strategies and monitoring controls Lead structured risk review discussions and provide clear recommendations Support the design and implementation of automated testing pipelines and validation methodologies Ensure comprehensive documentation of testing protocols, validation findings, and risk assessments Serve as a subject matter expert on responsible AI principles and regulatory considerations Communicate complex technical findings in practical, business-relevant terms to executive and non-technical audiences Demonstrate executive presence and sound judgment when advising on high-visibility or sensitive AI deployments Represent the Responsible AI team in cross-functional working groups and leadership forums. Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work Provide mentorship and guidance to colleagues, fostering a culture of continuous learning and improvement You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 10+ years of experience in computer science, applied mathematics, applied statistics, or related quantitative fields Demonstrated expertise in AI ethics, fairness evaluation, and model risk management Proven sound analytical, problem-solving, and strategic thinking skills Experience within healthcare systems, including, for example, claims processing, call centers, clinical workflows, and healthcare operations Experience managing high-performing, experienced data scientists, setting team vision and prioritizing work across multiple concurrent initiatives Preferred Qualifications: Demonstrated familiarity with regulatory frameworks impacting AI in healthcare (e.g., HIPAA, CMS guidelines, emerging AI regulations) Experience with conversational AI systems, prompt engineering, adversarial testing, and red teaming Demonstrated understanding of information security principles as applied to AI systems Experience translating complex business needs into scalable technical solutions Proven ability to influence senior stakeholders and drive enterprise-wide adoption of best practices *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $159,300 to $273,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Requirements

Define and execute the technical vision and roadmap for responsible AI testing and validation across AI/ML systems
Establish scalable evaluation frameworks for traditional ML and Generative AI systems, including LLM-based applications
Evaluate and prioritize AI risks based on business impact, regulatory exposure, patient/member safety, and reputational considerations
Distinguish between critical risks requiring remediation and manageable risks addressable through mitigation strategies and monitoring controls
Lead structured risk review discussions and provide clear recommendations
Support the design and implementation of automated testing pipelines and validation methodologies
Ensure comprehensive documentation of testing protocols, validation findings, and risk assessments

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Python Machine Learning Data Science AI Ethics Compliance Model Risk Management Generative AI Traditional Machine Learning

Staff Enterprise Security Engineer, AI Security

Twilio

Full Time

$120,000 - $180,000*

5 days ago

Worldwide

Staff

Python

Threat modeling

+3 more

Job Description

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s next Staff Enterprise Security Engineer (AI Security) About the job As a Staff Enterprise Security Engineer, you will be a technical leader within the EntSec team, responsible for the foundational security posture of our organization. You will serve as an SME on the technical strategy and engineering execution for securing the AI ecosystem in our Enterprise, moving beyond policy into building the foundational "decision infrastructure" and technical guardrails that allow the enterprise to innovate with AI at scale. You will also guide strategic direction and collaboration across enterprise security domains. You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems. Leveraging expertise in security assessments, threat modeling, identity and access control principles, and data protection, you will architect and build preventative guardrails and mitigate new risks introduced by first and third-party AI agents in our Enterprise. Responsibilities In this role, you’ll: Design and implement secure reference architectures for Enterprise AI platforms that secures every Twilion’s engagement with them, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats. Establish a definitive framework for AI vetting, driving the cultural and policy shifts needed to institutionalize this strategic mindset across the organization. Collaborate with cross functional partners to develop and set the long term roadmap for agentic AI identity and posture management, ensuring cohesive strategies for reducing risk from agentic AI use. Maintain and improve our enterprise security posture through high-quality code (Python, Go, or similar) and automated infrastructure management via IAC. Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 7+ years of experience in security engineering or infrastructure security 2+ years of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment. Expertise in cloud security (AWS, GCP) and container security (Kubernetes). Proven track record of designing and deploying complex security systems at scale. Strong proficiency in programming languages such as Python, Go, or Java. Desired: Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools. Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders. Location This role will be remote, and based in Ireland Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Requirements

Design and implement secure reference architectures for Enterprise AI platforms
Establish a definitive framework for AI vetting
Collaborate with cross functional partners to develop and set the long term roadmap for agentic AI identity and posture management
Maintain and improve our enterprise security posture through high-quality code and automated infrastructure management
Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Go Threat modeling Data Protection Security Assessments Identity and Access Control

Governance, Risk & Compliance (GRC) Officer – Security, Privacy & AI Compliance

Telenor Linx AS

Full Time

$80,000 - $140,000*

5 days ago

Worldwide

Mid

Responsible AI

ISO/IEC 42001

ISO/IEC 27001

+2 more

Job Description

Do you want to work at the intersection of governance, risk management, security, privacy, and responsible AI in a global technology environment? Are you motivated by helping the organization operate responsibly while enabling innovation? We are looking for a Governance, Risk & Compliance (GRC) Officer to strengthen our Legal & Compliance team at Telenor Linx and support our organization in managing risks in a structured, business-oriented way. About Telenor Linx Telenor Linx is part of the Telenor Group, operating at the intersection of telecom and digital services. We partner with Mobile Network Operators and global digital players such as Google, Meta, and Netflix to enable seamless, secure digital connectivity worldwide. Our role is to bridge the telco ecosystem with the digital world – helping our partners reach more users, grow their services, and deliver better digital experiences, while ensuring secure and reliable experiences. Through our global platform, we support over 100 million subscribers across markets, delivering services across voice, messaging, roaming, and digital engagement. We are a global team of around 200 people, headquartered in Norway with offices across Europe and Asia. About the Role As part of the Legal & Compliance team, you will play a central role in strengthening our governance and compliance framework across security, privacy, operational risk, and emerging AI governance requirements. You will work closely with product teams, engineering, leadership, and other stakeholders to ensure that regulatory, security, privacy, and AI‑related requirements are understood, implemented, monitored, and continuously improved. You will contribute to maintaining and developing our Information Security Management System (ISMS), our privacy compliance processes, and—where relevant—our alignment with AI governance frameworks such as ISO/IEC 42001 (AI Management System) and Telenor Group’s guidelines for responsible AI. The GRC Officer reports to the VP of HR, Legal & Compliance and supports the day‑to‑day management and continuous improvement of our governance, risk, and compliance practices. Key Responsibilities Governance & Compliance · Maintain and continuously improve the Information Security & Privacy Management System in accordance with ISO/IEC 27001 and ISO/IEC 27701.[OJ1] · Support and coordinate compliance activities across security, privacy, operational risk, and responsible AI governance. · Develop, maintain, and promote internal policies, standards, and guidelines across security, privacy, AI governance, and compliance domains. · Contribute to alignment with ISO/IEC 42001, including controls for AI lifecycle governance, risk assessment, documentation, and monitoring. · Coordinate internal audits and support external audit activities, including follow‑up and reporting. Risk Management · Facilitate and support risk assessments across the organization, including security risks, privacy risks, supplier risks, and AI related risks (e.g., model misuse, hallucinations, data leakage, autonomy risks in Agentic AI systems). · Evaluate the effectiveness of internal controls and contribute to strengthening the organization’s overall risk posture. · Support product, project, and change initiatives with structured risk and compliance guidance—ensuring that AI features and Agentic AI capabilities undergo appropriate risk and impact assessments. Security & Privacy Compliance · Support privacy compliance processes, including DPIAs, records of processing activities, and alignment with GDPR and internal privacy requirements. · Assist with security compliance tasks such as supplier security reviews, control monitoring, and regulatory documentation. · Contribute to incident management processes, including documentation, reporting, and post‑incident follow‑up. AI Governance & Responsible Use of Agentic AI (New Section Added) · Support implementation of AI governance principles, including transparency, accountability, security, fairness, and human oversight. · Contribute to the development and maintenance of AI‑related controls aligned with ISO/IEC 42001. · Help ensure responsible use of Agentic AI tools (e.g., code‑assistants, automation agents) by contributing to policy development, risk assessments, and secure‑by‑design guidance. · Monitor AI‑related regulatory developments (EU AI Act, local requirements) and support internal alignment and reporting. · Promote awareness and training related to secure and responsible use of AI technologies across the organization. Cross Functional Support & Culture · Provide clear, practical compliance guidance to teams across the company. · Help build a strong culture of accountability, risk awareness, and secure‑by‑design thinking. · Support awareness and training initiatives across security, privacy, and compliance topics. Who Are You? We believe you are a structured and pragmatic GRC professional who enjoys working collaboratively and influencing others. You are comfortable communicating governance, risk, security, and privacy topics in a clear and understandable way, translating requirements into practical, value‑adding solutions. You likely have: · Experience in governance, risk management, compliance, information security, privacy, or responsible AI. · Knowledge of frameworks and standards such as ISO 27001, NIST CSF, GDPR, ISO 42001 or similar. · Experience working with risk assessments, compliance frameworks, and/or ISMS processes. · Strong communication and stakeholder‑management skills. · Higher education or equivalent practical experience. How We Work We work in an agile, collaborative environment where trust, openness, and respect are core values. We use modern tools and methods, and encourage dialogue, continuous improvement, and learning. Security is a shared responsibility, and you will be an important contributor in shaping how we work securely at scale. Some of the Benefits We Offer · Subsidized lunch with an excellent canteen · Coffee, snacks, and social activities · Company-subsidized cabins and gym membership · Insurance scheme and competitive pension plan · Professional development through company-paid courses · A friendly, international, and inclusive work environment Other Information · Location: Fornebu, Norway · Application deadline: Applications will be reviewed continuously · Background checks are conducted for relevant candidates · For questions, please contact VP HR, Legal & Compliance, Barney Jacobs at +4746852632

Requirements

Maintain and continuously improve the Information Security & Privacy Management System
Support and coordinate compliance activities across security, privacy, operational risk, and responsible AI governance
Develop, maintain, and promote internal policies, standards, and guidelines across security, privacy, AI governance, and compliance domains
Contribute to alignment with ISO/IEC 42001
Coordinate internal audits and support external audit activities

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Responsible AI ISO/IEC 42001 ISO/IEC 27001 ISO/IEC 27701 AI Management System

AI Policy Analyst VBP

Amalgamated Bank of NY

Full Time

$120,000 - $180,000*

6 days ago

United States

Worldwide

Senior

AI Ethics

Risk Management

AI governance frameworks

+5 more

Job Description

* This position is eligible for a $500 ZelTech Non-Employee Referral fee. Contact ZelTech Recruiters [[email protected]] for questions concerning this matter. * Join Our Talent Community to Stay Connected! *This position is contingent upon contract award* Work Location: Virginia Beach, VA (Onsite or Hybrid depending on department policy). Job Summary: The City of Virginia Beach is seeking a highly analytical and principled AI Policy Analyst to guide the city’s responsible adoption of artificial intelligence technologies. This role will develop and enforce policies, governance frameworks, ethical guidelines, and compliance standards to ensure AI systems are transparent, fair, secure, and aligned with public‑sector values. The ideal candidate has a strong understanding of AI ethics, risk management, regulatory trends, and public‑sector accountability. This position plays a critical role in safeguarding residents’ rights, promoting trustworthy AI, and ensuring the city’s AI initiatives meet legal, ethical, and operational standards. Responsibilities: AI Governance & Policy Development * Develop and maintain citywide AI governance frameworks, policies, and standards. * Establish guidelines for responsible AI use, including transparency, accountability, fairness, and human oversight. * Draft policies addressing data use, model lifecycle management, algorithmic risk, and AI procurement requirements. * Evaluate AI proposals and projects for alignment with city governance principles. AI Ethics & Responsible Use * Conduct ethical impact assessments for AI systems, including bias evaluation, fairness analysis, and risk mitigation. * Ensure AI applications uphold public‑sector values such as equity, accessibility, and non‑discrimination. * Promote ethical design practices, including explainability, human‑in‑the‑loop controls, and community‑centered considerations. * Provide guidance on emerging ethical concerns such as generative AI, automated decision‑making, and surveillance technologies. Compliance, Risk & Regulatory Alignment * Monitor federal, state, and local regulations related to AI, data privacy, cybersecurity, and algorithmic accountability. * Ensure city AI systems comply with applicable laws, standards, and best practices. * Conduct risk assessments and develop mitigation strategies for AI‑related operational, legal, and ethical risks. * Maintain documentation for auditability, transparency, and public reporting. Stakeholder Engagement & Training * Collaborate with city departments, legal teams, IT staff, and community stakeholders to ensure responsible AI adoption. * Provide training and guidance on AI governance, ethics, and compliance requirements. * Support public transparency initiatives, including communication materials and community engagement efforts. * Serve as a subject‑matter expert on responsible AI practices. Requirements: * Must be a US citizen. * Bachelor’s degree in Public Policy, Law, Ethics, Computer Science, Data Science, Information Systems, or related field; OR 6 or more years of relevant experience in lieu of a degree. * 3–5+ years of experience in policy analysis, compliance, governance, or AI/technology‑related fields. * Strong understanding of AI ethics, algorithmic accountability, and responsible AI frameworks. * Familiarity with data governance, privacy standards, and risk management practices. * Excellent analytical, writing, and communication skills. * Ability to translate complex technical concepts into clear policy guidance for non‑technical audiences. * Successful background and drug screening check. Preferred Requirements: * Experience working in local government, public administration, or public‑sector compliance. * Knowledge of municipal operations, public‑service workflows, or government data systems. * Experience with AI/ML concepts, data analysis, or technology policy development. * Certifications in AI ethics, data governance, compliance, or risk management. * Familiarity with NIST AI Risk Management Framework, federal AI guidance, or state‑level AI legislation. Core Competencies * Ethical Judgment & Integrity * Policy Analysis & Governance * Risk Assessment & Compliance * Communication & Stakeholder Engagement * Analytical and Critical Thinking * Public‑Service Orientation & Accountability Physical Demands or Work Environment: The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * The majority of the time is spent in an office setting. * Occasionally lift and/or move up to 25 pounds. * Specific vision abilities required include close vision, distance, vision, color vision and ability to adjust focus. About ZelTech: Founded in 1988 by Ret. Col. Jack L. Ezzell Jr., Zel Technologies is a trusted leader in national security, providing comprehensive research, development, engineering, and operational support to the Department of Defense, the Intelligence Community, and federal agencies. Originally focused on leveraging operational and software expertise to improve time-critical targeting capabilities for the military, the company advanced its capabilities to provide scientific and HUMINT expertise for CBRNE collection and analysis. In the wake of 9/11, Zel Technologies rapidly expanded its capabilities to provide turnkey ISR support services to US Special Operations Forces (SOF), as well as advanced technical & operational intelligence, physical & data science, and engineering support services to the greater Intelligence and SOF Communities supporting global counterterrorism and CWMD operations. Today, Zel Technologies remains at the forefront of intelligence missions, advancing CWMD and global counterterrorism efforts, while also addressing emerging threats posed by near-peer adversaries. Our team remains committed to delivering adaptive, innovative, and cost-effective solutions across multiple domains, in alignment with the mission priorities of the U.S. Government and its partner nations. Our Mission: Through our commitment to innovation and quality, our skilled teams deliver robust, technology driven solutions and insights that empower our customers to overcome complex challenges and achieve their mission objectives. Our Workforce: ZelTech team members represent a wide range of backgrounds, skills, experience, and personalities bound together by common objectives and mutual respect. You will join a caring community of professionals, including many military veterans [https://www.zeltech.com/veterans/] who challenge and support each other in seeking the right solutions to important matters. Benefits: * Medical, Dental and Vision Insurance * 401k immediate vesting with company match * Flexible Spending Accounts * Health Savings Account with company contributions * Employee Assistance Program (EAP) * Bonuses for performance * Voluntary life/accidental death & dismemberment * Educational assistance and special training programs * Voluntary benefits (accidental, critical illness, whole life) * Group life insurance (Company paid) * Short-term and Long-term Disability Insurance (Company paid) * Paid Time Off (PTO), Holiday Leave, Jury Duty, and Military Leave * Health and fitness reimbursement * Referral bonuses * Employee discounts on various services and products Equal Opportunities: ZelTech is an equal opportunity employer and does not discriminate based on race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.

Requirements

Must be a US citizen
Bachelor's degree in Public Policy, Law, Ethics, Computer Science, Data Science

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts

Skills

AI Ethics Risk Management AI governance frameworks Policy Development regulatory trends public-sector accountability data use algorithmic risk

Security Solutions Architect for NG-SIEM and AI Security

Full Time

$120,000 - $180,000*

6 days ago

Worldwide

Senior

Security Operations

Cybersecurity

NG-SIEM

+5 more

Job Description

We are continuously growing and we are looking for a Security Solutions Architect for NG-SIEM & AI to join our UniQue Cybersecurity Solutions team, part of the Enterprise & Presales Solutions Division. In this role, you will interact directly with internal teams, clients and partners, and will be responsible for the design and presentation of cybersecurity solutions that enhance our SOC/MDR offerings and AI-enabled services, effectively bridging business and technology. What will you be bringing to the team? Our UniQue people come from a variety of different backgrounds and industries, with different skillsets and approaches, but they have one thing in common: passion for technology and innovation! For the Security Solutions Architect position, we expect you to: Manage the overall design of high-quality solutions for NG-SIEM, Security Operations & AI‑enabled security solutions for complex projects in GR and EU. Act as a trusted lead advisor providing high level guidance, owning and evolving your area of expertise by working with internal teams, partners and customers. Influence customer decision making through delivery knowledge/value discussions. Support the presales cycle: discovery, demos and contributing to technical proposals. Produce quality documentation and architecture in Cybersecurity solution domain. Keep abreast of new technology developments and innovations by continuous learning, providing proof of concepts (PoC’s), etc. and recommend improvements to architectural processes, tools, and security standards. Translate technical capabilities into business value. What do you need to succeed in this position? Your experience, skillset and qualifications are going to help you succeed in this position, moving forward. Bachelor’s degree in Computer Science, Engineering, Information Technology or related discipline. MSc degree in Information Security and/or Information Security certifications (e.g., CISSP, CISM, related vendor-provided) will be highly appreciated. At least 3 years proven presales / solutions design experience in cybersecurity (including SIEM/SOAR, XDR, or related) with a total of 8 years experience in ICT, preferably in engineering. Familiarity with at least one enterprise SIEM and SOAR; comfortable discussing log onboarding, detections and KPIs at a high level. Knowledge of AI-driven tools within security and understanding how they can be effectively applied within modern architectures. Proficiency in English (written & verbal). Strategic, analytical, and customer-oriented mindset. Effective communicator across technical and non-technical stakeholders, alongside strong negotiation skills. Accountability and result orientation to innovative and high-quality delivery. Ability to set and meet strict deadlines and maintain performance under demanding conditions. What are we offering to our UniQue IT People? People-first approach and open environment to express your ideas Work-life balance and a hybrid work model Continuous training and development Opportunities to join innovation initiatives Ticket restaurant – meal vouchers Corporate laptop and equipment Corporate mobile phone subscription Health and insurance plan for you and your family members Employee consulting and guidance support by Ergonomia Discounts on the services and products of our Group’s companies Gift vouchers for major life milestones Special work schedule on summer Fridays and birthdays Our UniQue IT people are the most valuable part of Uni Systems; their knowledge and experience have made us the leading and reliable systems integrator of today and have contributed to our steady financial growth. We have created and are maintaining a stable working environment for our employees, with countless opportunities to innovate and thrive. Our work culture recognizes our UniQue IT people and supports the free sharing of ideas and the flow of information via open communication while appreciating and effectively utilizing the talents, skills, and perspectives of each employee. At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology or related discipline
MSc degree in Information Security and/or Information Security certifications
At least 3 years proven presales / solutions design experience in cybersecurity
Familiarity with at least one enterprise SIEM and SOAR
Knowledge of AI-driven tools within security
Proficiency in English (written & verbal)
Strategic, analytical, and customer-oriented mindset
Effective communicator across technical and non-technical stakeholders

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work
Remote Work Stipend

Skills

Security Operations Cybersecurity NG-SIEM AI Security Solutions SIEM/SOAR XDR Log onboarding Detections

Product Manager, Data Minimization, AI Privacy and Regulations

Google

Full Time

$163k - $237k

6 days ago

Worldwide

Senior

API

Product Management

+4 more

Job Description

MINIMUM QUALIFICATIONS: * Bachelor's degree or equivalent practical experience. * 5 years of experience in product management or related technical role. * 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.). * 2 years of experience launching safety or regulations for software products. PREFERRED QUALIFICATIONS: * Master's degree in a technology or business related field. * 3 years of experience in a business function or role (e.g., marketing, business operations, or consulting). * 3 years of experience in a role preparing and delivering technical presentations to executive leadership. * 2 years of experience in software development or engineering. * 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders. * 1 year of experience in technical leadership. ABOUT THE JOB: At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. As a Product Manager in the APaS Regulations and Data Use team, you will navigate a global landscape of emerging legislation to ensure Google’s Ads products remain compliant while protecting user trust and business interests. In this role, you will be responsible for critical programs leading the strategy for data minimization, navigating specific AI and Privacy Regulations, and overseeing our cornerstone initiatives for European Union user consent policy. You will balance technical execution with regulatory advocacy, working closely with Engineering, Legal, and Government Affairs to shape the future of the digital advertising ecosystem. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Present product, financial, and operational assessments to inform executive decision-making. * Advise executive leadership (VP-level) on regulatory risks, trade-offs, and mitigation strategies. * Partner with Government Affairs and Public Policy (GAPP) to influence "Codes of Practice" and advocate for technical definitions that minimize ecosystem disruption. * Align engineering, legal, safety, and policy resources across Product Areas (PAs) for a unified technical response to AI provenance and disclosure standards. * Partner with Privacy Infrastructure Technical Leads, Ads, and cross-Product Area Product Managers and Engineers where necessary to align policies and meet local legal requirements.

Requirements

Bachelor's degree or equivalent practical experience
5 years of experience in product management or related technical role
2 years of experience taking technical products from conception to launch
2 years of experience launching safety or regulations for software products
Master's degree in a technology or business related field
3 years of experience in a business function or role
3 years of experience in a role preparing and delivering technical presentations to executive leadership
2 years of experience in software development or engineering

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

API Product Management AI Privacy Regulations Google Data Minimization

CRE Accounting Analyst - AI Evaluation Team

Full Time

$80,000 - $140,000*

6 days ago

United States

Worldwide

Mid

Python

Data Analysis

Financial Data

+3 more

Job Description

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 CRE Accounting Analyst at the AI Evaluation Team at REAL, you will work hands-on with real estate, lease, and financial 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, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, property reports, and asset-related data, primarily within the U.S. commercial real estate market. The role is ideal for someone with a background in real estate accounting, lease accounting, property accounting, real estate finance, asset management, or CRE operations who enjoys working with financial data, documents, and details, and can make messy information structured, accurate, and scalable. What You'll Do Review and process real estate, lease, and financial documents on a daily basis Extract key data points from leases, rent rolls, financial statements, budgets, CAM reconciliations, and property reports into structured systems Work with U.S. commercial real estate, accounting, lease, and property-finance terminology Clean, organize, and validate large volumes of financial and property-level data Identify inconsistencies, missing information, anomalies, and reconciliation gaps, and help resolve them Analyze lease and accounting-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 financial and property 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, accounting, financial data, and customer use cases What We're Looking For 2-4 years of experience in real estate accounting, property accounting, lease accounting, fund accounting, real estate finance, asset management, property management, or CRE operations Experience working with leases, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, operating statements, or other property-level financial data Experience in accounting, property accounting, lease accounting, real estate finance, asset management, or CRE operations roles involving lease and/or property-level financial data — strong advantage Native-level English — must; ability to read, write, and understand professional documents, contracts, reports, and financial 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, inconsistencies, and reconciliation problems 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

Requirements

2-4 years of experience in real estate accounting, property accounting, lease accounting, fund accounting, real estate finance, asset management, property management, or CRE operations
Experience working with leases, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, operating statements, or other property-level financial data
Experience in accounting, property accounting, lease accounting, real estate finance, asset management, or related fields
Ability to work with U.S. commercial real estate, accounting, lease, and property-finance terminology
Ability to clean, organize, and validate large volumes of financial and property-level data

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Training Budget

Skills

Python Data Analysis Financial Data Real Estate Lease Accounting Property Accounting

Construction/ Architect Analyst - AI Evaluation Team

Full Time

$80,000 - $140,000*

6 days ago

United States

Worldwide

Mid

Python

Data Analysis

Machine Learning

+2 more

Job Description

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

Requirements

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
Native-level English
Ability to read, write, and understand professional documents
Strong analytical component and attention to detail

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Training Budget

Skills

Python Data Analysis Machine Learning Real Estate Construction

Real Estate Expert- AI Evaluation Team

Full Time

$80,000 - $140,000*

6 days ago

Worldwide

Mid

Python

Excel

Google Sheets

+4 more

Job Description

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 Real Estate Expert – AI Evaluation Team at REAL, you will be responsible for working hands-on with real estate data and turning it 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, and asset-related data, primarily within the U.S. commercial real estate market, ensuring accuracy, consistency, and usability. The role is ideal for someone with a background in U.S. commercial real estate or property management who enjoys working with data, going into details, and making things structured and scalable. What You’ll Do Review and process real estate documents (leases, property data, plans) on a daily basis Extract key data points from contracts and input them into structured systems Work with U.S. commercial real estate documents and terminology Clean, organize, and validate large volumes of data Identify inconsistencies, missing data, and anomalies, and resolve them Work closely with internal teams to ensure data is accurate 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 domain expertise in real estate data and customer use cases What We’re Looking For 2–4 years of experience in U.S. commercial real estate / property management / PropTech (CRE – strong advantage) Experience working with contracts, leases, or property-related documents Native-level English – must (ability to read, write, and understand professional documents and contracts 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 spot issues 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 Good communication skills and ability to collaborate with different teams

Requirements

2–4 years of experience in U.S. commercial real estate / property management / PropTech
Experience working with contracts, leases, or property-related documents
Native-level 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 spot issues in data
Ability to work independently and handle operational tasks at scale
Strong sense of ownership and responsibility

Benefits

401k Matching
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Excel Google Sheets Real Estate Data Data Analysis Data Science Machine Learning

Executive Manager, Responsible AI (9 Month Max-Term Contract)

Westpac Group

Full Time

$120,000 - $180,000*

6 days ago

Australia

Worldwide

Senior

Machine Learning

Data Science

+4 more

Job Description

* Sydney Location * Hybrid Working – 2-3 days in the office (Sydney CBD) * Parental leave cover Max-Term Contract (9 months) About the role We are seeking a senior leader to lead the enterprise Responsible AI (RAI) strategy, with a focus on embedding Responsible AI practices across the in a way that is practical and scalable. As Executive Manager, Responsible AI, you will translate regulatory, ethical and organisational expectations into clear standards, operational controls and embedded practices across the AI lifecycle. This is a strategy and execution role, requiring strong judgement, deep AI governance expertise, deep understanding the Responsible AI principle and the ability to influence senior stakeholders in a complex environment. You will operate at the intersection of AI, governance, and responsible innovation, ensuring AI is deployed responsibly, delivers meaningful customer outcomes, and contributes positively to the broader community. Key responsibilities … * Lead the design and uplift of the end-to-end Responsible AI governance framework, covering areas such as transparency, bias mitigation, explainability etc * Drive the operationalisation of policies and frameworks, embedding clear guardrails across AI development and use, including for third-party and internal AI to manage AI risks * Act as the internal SME on AI regulation and risk frameworks, translating regulatory expectations into clear, implementable technical and governance requirements (e.g. ISO42001, ISO42005, NIST AI RMF, Australian Guidance for AI Adoption) * Provide senior guidance and decisioning support on Responsible AI risks, controls and trade-offs across strategic initiatives and executive forums * Define and implement technical capabilities that enable Responsible AI by design, including evaluation, monitoring, traceability and auditability * Uplift and scale governance tooling and processes, including leveraging AI to enhance Responsible AI oversight and improve efficiency of governance activities * Lead AI use case intake, triage and preliminary risk assessments, partnering with SME and technical teams to assess risks such as explainability and ensure appropriate human-in-the-loop controls etc * Maintain core enterprise capabilities (e.g. AI inventory, monitoring and reporting) to support transparency, accountability and effective risk management * Partner with business and technology teams to ensure AI solutions deliver genuine customer value while meeting ethical and risk expectations * Act as a senior connector across multiple stakeholders to balance safety, compliance and delivery speed, and drive a cohesive Responsible AI culture * Champion ethical AI use, including initiatives that deliver positive societal and community outcomes * Develop and deliver training and organisational uplift on Responsible AI expectations and requirements Skills & experience * Demonstrated experience operating at a senior leadership level, driving enterprise-wide strategy and execution initiatives * Strong experience in AI risk, governance, compliance, legal, technology or related disciplines within a regulated environment * Deep understanding of Responsible AI principles and ability to translate them into practical, scalable controls * Strong understanding of AI technologies, how they work, associated risks and how to manage them (e.g. bias, explainability, drift, misuse) * Proven ability to influence senior stakeholders and drive outcomes across complex, cross-functional environments * Experience designing and implementing governance frameworks and lifecycle oversight processes * Strong analytical, problem-solving and decision-making capability with sound judgement * Excellent communication skills, with the ability to translate complex concepts into clear, actionable guidance. Our Promise to you 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 committed to a supportive and inclusive workplace. We encourage applications from people of all backgrounds and lived experiences, including Aboriginal and Torres Strait Islander peoples, veterans, and neurodivergent people. If you need any adjustments during the recruitment process, you can find more information and contact details on our FAQs and how to contact us page [https://aus01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.westpac.com.au%2Fabout-westpac%2Fcareers%2Ffaq-contact-us%2F&data=05%7C02%7Cdakotah.bishop%40westpac.com.au%7Cd15ccf34ab1e42eba8b108de7044f492%7C57c64fd466ca49f5ab382e67ef58e724%7C0%7C0%7C639071638622937325%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=CVu4NaILh3E9bnppTkmFikGV3MAwuAh5JuFwMi%2FFj5o%3D&reserved=0], under the ‘Diversity, sustainability and flexibility’ section.

Requirements

Lead the design and uplift of the end-to-end Responsible AI governance framework
Drive the operationalisation of policies and frameworks
Act as the internal SME on AI regulation and risk frameworks
Provide senior guidance and decisioning support on Responsible AI risks
Define and implement technical capabilities that enable Responsible AI by design
Uplift and scale governance tooling and processes
Maintain core enterprise capabilities to support transparency, accountability and effective risk management
Partner with business and technology teams to ensure AI solutions deliver genuine customer value

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Parental Leave
Performance Bonus
Remote Work

Skills

AI Machine Learning Data Science Python Java Cloud Computing Data governance

Sr. Analyst, AI Governance

Bayview Asset Management

Full Time

$120,000 - $180,000*

6 days ago

Worldwide

Senior

AI Governance

Model Risk Management

Regulatory Compliance

+5 more

Job Description

Overview ABOUT US Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets. POSITION SUMMARY Bayview Asset Management is seeking a Senior Analyst, AI Governance to enhance the firm’s enterprise technology governance function. This role is responsible for assisting in the establishing and overseeing of an Artificial Intelligence (AI) governance framework that ensures alignment with business strategy, regulatory requirements, risk management standards, and operational excellence. This Sr. Analyst will oversee AI governance, model risk alignment, technology risk management, and regulatory compliance across the organization. This role serves as a key control function, partnering with IT, Risk, Compliance, Legal, Information Security, and business leadership to ensure safe, responsible, and compliant use of technology — including emerging AI and Generative AI capabilities. RESPONSIBILITIES: Document AI frameworks aligned with NIST, SCF, NYDFS, and regulatory best practices Continue the oversight of embed AI governance into IT, data, and enterprise risk programs Ensure governance is scalable, repeatable, and audit-ready through maintenance of AI risk taxonomy, reporting and escalations Partner with Model Risk Management to align with SR 11‑7 and OCC/Fed guidance Set standards for AI/model documentation and lifecycle oversight Govern internal, third‑party, and Generative AI solutions Identify, assess, and monitor AI risks Own mitigation strategies, control frameworks, and centralized risk register Assist in risk assessments, governance reviews, and control testing Ensure compliance with IT and AI regulatory requirements Serve as primary liaison for audits and regulatory exams Maintain documentation, evidence retention, and audit trails Lead periodic reviews and operational adoption Aligning governance with IT and digital transformation strategy Provide governance review for new technology initiatives Assess emerging AI technologies prior to adoption Define AI governance standards for vendors Partner with Vendor Risk to assess controls, transparency, validation, and data protection Ensure AI‑specific contractual safeguards SKILLS & REQUIRMENTS: Strong knowledge of IT governance frameworks and standards (COBIT, ITIL, NIST, ISO 27001) Proficiency with IT governance, risk, and compliance tools Solid understanding of IT infrastructure, applications, and cybersecurity principles Excellent written and verbal communication skills; able to convey complex concepts to non‑technical audiences Strong analytical and critical thinking skills with sound judgment in complex situations Ability to manage multiple priorities in a fast‑paced environment Demonstrated ability to develop and implement AI policies, procedures, and controls Strong interpersonal skills with the ability to influence stakeholders at all levels Understanding of AI/ML systems, including Generative AI and LLMs (conceptual + risk perspective; not hands-on engineering) QUALIFICATIONS: Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field. Master’s degree preferred Experience in AI/IT governance, risk management, or a related field, with direct exposure to AI/ML governance strongly preferred Experience with regulatory compliance and risk management in the IT domain Certifications, Licenses, and/or Registration Certifications such as CISA, CISM, CRISC, or CGEIT are highly desirable. Location and Compensation: This role can be fully remote, however if a candidate is found in the Toronto area, it is preferred. The compensation available for this role can be between $130,000 - $160,000 CAD. This range is dependent on experience. There is also a performance-based bonus structure available. EEOC Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

Requirements

Strong knowledge of IT governance frameworks and standards
Proficiency with IT governance, risk, and compliance tools
Excellent written and verbal communication skills
Ability to manage multiple priorities in a fast-paced environment
Demonstrated ability to develop and implement AI policies, procedures, and controls

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Professional Development
Remote Work
Retirement Plan
Training Budget

Skills

AI Governance Model Risk Management Regulatory Compliance NIST SCF NYDFS IT governance frameworks technology risk management

Senior Specialist, Model Risk Analytics- AI/ML

BNY Mellon

Full Time

$120,000 - $180,000*

1 weeks ago

Worldwide