Google

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with coding in C++, or 1 year of experience with an advanced degree.
  
• 1 year of experience with application programming interface (API) design.
• 1 year of experience with reliability analysis.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with Stubby.
• 2 years of experience with server platform.
• 2 years of experience with Pod.
• 2 years of experience with TypeScript.

About the job:

As a part of the Storage and Users (SU) Ecosystem team, your focus is to provide Responsible AI (RAI) solutions including Trust and Safety (T&S) and Provenance to product teams at Google, making it a top priority effort. You will also serve the actual RAI capabilities, while the SU Ecosystem team aims to provide self-serviceable, well-lit user journeys that involve discovery and onboarding for various developers and clients of these RAI capabilities. You will have a tremendous impact on various model launches in Google DeepMind's Beyond platform, ensuring that they serve users responsibly.

Responsibilities:

• Engineer the Responsible AI (RAI) serving infrastructure by providing a dedicated, low-latency RAI service for Beyond.
• Develop APIs and underlying features for the RAI serving infra.
  
• Ensure all T&S signals have defined Service Level Objectives (SLOs), proactively managing the reliability and high-availability requirements of critical RAI components.
• Deploy the Unified Provenance Service to support Google's compliance with various regional AI regulations across the globe, and launch Google’s proprietary SynthID watermark and industry-standard C2PA signals to indicate generative content and enhance the company's commitment to Responsible AI.
• Build a Content Registry to store fingerprints of generated media for tracking content origin in order to enable Google to serve user complaints' likeness claim validation.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with coding in C++, or 1 year of experience with an advanced degree.
  
• 1 year of experience with Application Programming Interface (API) design.
• 1 year of experience with reliability analysis.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with Stubby.
• 2 years of experience with server platform.
• 2 years of experience with Pod.
• 2 years of experience with TypeScript.

About the job:

Responsibilities:

• Engineer the Responsible AI (RAI) serving infrastructure by providing a dedicated, low-latency RAI service for Beyond.
• Develop APIs and underlying features for the RAI serving infra.
  
• Ensure all T&S signals have defined Service Level Objective (SLOs), proactively managing the reliability and high-availability requirements of critical RAI components.
• Deploy the Unified Provenance Service to support Google's compliance with various regional AI regulations across the globe, and launch Google’s proprietary SynthID watermark and industry-standard C2PA signals to indicate generative content and enhance the company's commitment to Responsible AI.
• Build a Content Registry to store fingerprints of generated media for tracking content origin in order to enable Google serve user complaints likeness claim validation.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  
• 5 years of experience managing projects and defining project scope, goals, and deliverables.
  
• 2 years of experience in GenAI safety, adversarial ML, or technical risk management.

Preferred qualifications:

• Master's degree in a quantitative discipline.
  
• 5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
• 5 years of experience with machine learning systems.
• Excellent written and verbal communication skills.
  

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Workspace AI Trust and Safety is seeking a great analyst who is passionate about making AI safe for the world.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities

• Identify and investigate possible failure modes for GenAI products on a broad range from sociotechnical harms to misuse.
• Design and build implementation for anti-abuse detection and action systems, including detection and enforcement AI agents, to protect Google Workspace AI products at scale.
• Perform in-depth analysis of risks, measure and mitigate AI-related risks, using benchmarking, evaluations, dataset design, and usage monitoring.
• Prepare analysis reports and present findings and solutions to stakeholders with exceptional written and verbal communication.
• Collaborate with other Google teams to ensure that the issues are understood and solutions are adopted.

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related technical field or equivalent practical experience.
• 15 years of product management experience.

Preferred qualifications:

• Master's degree or PhD.
• 15 years of experience working within large-scale, global, technical organizations with multiple product lines.
• Ability to lead, mentor and grow a team of product managers and technical talent.
• Strong communication skills with the ability to represent and convert
  complex business or technical concepts with senior leadership.
• Demonstrated success leading initiatives, developing policies or thought leadership in regulated, high visibility domains.
• Demonstrated success aligning organizations across multiple product lines and successfully influencing the overall direction of a product or company.

About the job

The Core User Protection organization is seeking a highly analytical and
empathetic Product Manager to work on the most complex, deep-seated
problems related to AI safety. You will be responsible for defining the
product vision, strategy, and roadmap for features that protect our users
from abuse, harm, and platform manipulation, often dealing with ambiguous and highly contentious policy issues.

Within Core UP, this role will partner closely with the PM and Eng Directors and the Principal and Distinguished Engineers focused on content moderation and our safety platforms. Outside of our organization, you will collaborate regularly with teams in Trust & Safety, Google DeepMind, and the largest Google product areas.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $272,000-$383,000 + 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.

Responsibilities

• Transform content moderation across Google, moving from a purely human-centric model to one that is AI-first and AI-assisted. Partner closely with leaders across Google to create, drive and deliver innovative privacy and security products for our users across all Google platforms.
• Understand, anticipate and address emerging threats to user safety, especially those arising from the increasing use of AI by malicious actors.
• Drive product strategy for integrating disparate AI safety solutions across Google into a cohesive, scalable, and cost-effective ecosystem.
• Scale and productionize the roadmap for cutting edge AI Safety research. Define unified, holistic outcome safety metrics that can guide the AI safety work and priorities of the User Protection team.
• Inspire innovation that results in product transformation, drive improvements in security, safety and privacy metrics, and addresses gaps and opportunities across product experiences.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in compliance, risk management, investigation, auditing, legal, or consulting.
• Experience with enterprise-wide or cross-functional project planning and execution.

Preferred qualifications:

• Master's degree or PhD in Law, Business, Compliance or a related field.
• Experience bringing structure to ambiguous situations, with excellent problem-solving skills, and the ability to analyze fragmented information, identify key attributes, and develop recommendations and solutions.
• Understanding of compliance program management principles, risk assessment methodologies, and internal control frameworks.
• Ability to collaborate with cross-functional teams, management, regulators, and external stakeholders.
• Ability to identify potential risks and develop solutions to ensure ongoing compliance and mitigate potential issues.

About the job

Responsibilities

• Architect and implement a compliance and risk management program tailored to the organization's specific needs and regulatory environment.
• Develop a set of metrics and key performance indicators (KPIs) to measure and track the program's effectiveness and identify areas for improvement.
• Partner with cross-functional teams across the organization to embed compliance and risk management principles directly into the business processes, ensuring proactive risk mitigation.
• Prepare and deliver regular reports to the management, providing insights into the program's overall status, emerging risks, compliance performance, and recommended next steps.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in data analytics, Trust & Safety, policy, cybersecurity, or related fields.
  

Preferred qualifications:

• Master's degree or PhD in relevant field.
• Education in, or experience with, machine learning.
  
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
  
• Strong understanding of AI systems, machine learning, and their potential risks or experience working with Google's products and services, particularly GenAI products.
• Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.
  
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

In this role, you will be an expert in structured and unstructured safety pre-launch testing for Google's GenAI models and products, with a particular focus on the under-18 experience. You will partner closely with the technical abuse-fighting experts in trust and safety to understand launch requirements, and develop and implement testing protocols. You will leverage robust data analysis to provide quantitative and qualitative actionable insights on potential risks for mitigation by T&S and product teams. You will manage many stakeholders through effective relationship building, bringing an ordered and structured approach. You'll demonstrate analytical thinking through data-driven decision making and technical know-how, to collaborate across teams and execute quickly. This will be instrumental in shaping the future of AI development, ensuring that Google's AI products are safe for all users.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $132,000-$194,000 + 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.

Responsibilities

• Own the pre-launch U18 testing lifecycle for prominent GenAI products, from aligning on compliance standards and safety guidelines to final execution, ensuring consistency across all product areas.
• Define prompt generation and scraping strategies using LLM tools and vendor teams to rigorously test model boundaries, compliance, and potential risks.
• Conduct deep-dive qualitative and quantitative analyses of test results to identify edge cases and provide actionable mitigation strategies that inform critical pre- and post-launch decision-making.
• Build reusable frameworks, operational norms, and best practices for red teaming and AI safety to scale Responsible AI (RAI) testing efficiency and impact cross-functionally.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 7 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

• Master's degree in a quantitative discipline.
• 7 years of experience with machine learning systems.
• 7 years of experience with one or more of the following languages: SQL, R, Python, or C++.
• Experience with modeling, experimentation, and causal inference.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

Responsibilities

• Build scalable scripts and workflows using SQL and Python to automate data collection, enrichment, and delivery, maximizing the team's impact.
• Serve as a bridge between technical and non-technical teams, effectively translating trust and safety intelligence needs into clear, actionable requirements for data solutions.
• Establish standardized processes and methodologies for data analysis that can be applied across various topics, ensuring consistency and efficiency in generating valuable insights.
• Work autonomously to identify and solve problems and collaborate effectively within a team to develop comprehensive solutions.
• Transform raw data into compelling visualizations and reports that clearly communicate key findings and actionable recommendations to stakeholders across the organization.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in compliance, risk management, investigation, auditing, legal, or consulting.
  

Preferred qualifications:

• Master's degree or PhD in Law, Business, Compliance or a related field.
• Experience in bringing structure and clarity to ambiguous situations.
• Understanding of compliance program management principles, risk assessment methodologies, and internal control frameworks.
• Ability to collaborate effectively with cross-functional teams, executive management, regulators, and external stakeholders.
• Ability to identify potential risks and develop solutions to ensure ongoing compliance and mitigate potential issues.
• Excellent problem-solving and verbal and written communication skills.

About the job

Responsibilities

• Architect and implement an compliance and risk management program tailored to the organization's specific needs and regulatory environment.
• Develop a set of clear, quantifiable metrics and Key Performance Indicators (KPIs) to objectively measure and track the program's effectiveness and identify areas for improvement.
• Deliver regular reports to executive management, providing actionable insights into the program's overall status, emerging risks, compliance performance, and recommended next steps.
• Partner closely with cross-functional teams across the organization to embed compliance and risk management principles directly into core business processes, ensuring proactive risk mitigation.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 7 years of experience managing projects and defining project scope, goals, and deliverables.
• 5 years of experience managing teams with performance management, mentorship, and coaching of team members.

Preferred qualifications:

• Master’s or Ph.D. degree in a quantitative discipline (e.g. Computer Science, Statistics, Mathematics, Operations Research etc.).
• Experience with prompt engineering and fine-tuning Large Language Model (LLMs).
• Excellent written, verbal, and presentation skills to effectively communicate with a variety of stakeholders, including executive leadership.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

Responsibilities

• Lead and scale a team of engineering analysts focused on AI safety, fostering the career growth of members through direct technical mentorship and guidance.
• Drive cross-functional alignment and influence executive stakeholders by translating data science findings into compelling narratives that support business outcomes.
• Direct the operational strategy for high-stakes foundational model launches, developing scalable safety solutions by leveraging advanced machine learning and AI techniques.
• Apply rigorous statistical and data science methodologies to audit protection measures and uncover vulnerabilities, ensuring continuous security enhancement through actionable insights.
• Navigate and manage high-pressure environments involving sensitive, graphic, or controversial content with professional resilience and composure.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience managing projects and defining project scope, goals, and deliverables.
  
• 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  

Preferred qualifications:

• Experience working with Google's products and services (e.g., generative AI products).
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g., Python).
• Knowledge of content moderation policies and best practices.
• Excellent problem-solving skills, with attention to detail in an ever-changing environment.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

As a Senior Engineering Analyst, you'll play a crucial role in ensuring a safe and trusted experience for users interacting with AI features in Google Photos. You will work directly with product managers, engineers, policy, and legal teams to build and execute a comprehensive approach to push the AI model to its limits and build resilience against malicious or unexpected inputs.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities

• Accelerate generative AI feature development by preparing comprehensive and automated trust and safety evaluations set across all relevant data types/languages and that cover all critical generative AI user journeys (e.g. edits, search, etc.).
• Conduct research, identify emerging risk areas, abuse vectors, edge cases, and build internal and external partnerships for generative AI safety.
• Partner with product, engineering, policy, research, central trust and safety, etc. to develop tailored testing approaches, tools, and solutions (e.g., test accounts etc.), execution of tests, analyse model outputs to inform improvement areas and safety mechanisms.
• Establish testing to discover residual and emergent risks.
• Define program metrics and communication, and establish health metrics and feedback loops with stakeholders to evolve the program and report on key insights.

Minimum qualifications:

• Bachelor's degree Engineering, Computer Science or, in a technical field, or equivalent practical experience.
• 15 years of experience in product management.
• 5 years of defending high-usage internet platforms from abuse and safety risks
• 3 years of experience utilizing ML or AI to build user-facing experiences

Preferred qualifications:

• Master’s degree in engineering or a related field or MBA
• Expertise leading teams towards business goals
• Ability to balance technical and business issues
• Effective leadership capabilities, and ability to motivate a team
• Excellent communication skills, with the ability to communicate with both technical and business experts

About the job

Google Workspace from Google Cloud is a smart, simple and secure family of productivity apps like Gmail, Docs, Drive, and Calendar. Designed for real-time collaboration, they simplify work and increase team productivity. With Google Workspace, information flows freely, so great ideas are never lost.

To safeguard the next generation of productivity, we established a unified Workspace Safety, Abuse, and AI Risk organization. While keeping users safe from spam and abuse, we are extending our role to Generative AI. As we integrate Generative AI, we focus on user trust, policy-aligned model behavior, and proactive threat mitigation. Bringing these critical functions together ensures unified prioritization of safety guardrails, robust resource management, and deeper alignment with our AI Foundations and Engineering partners.

As the Director of Product for Safety, Abuse, and AI Risk, Workspace, you will drive product strategy and inspire a talented team to build secure and trustworthy AI-powered productivity platforms. You will build a product team spanning multiple products and foundational capabilities, working with Engineering, Research, Legal, and Trust and Safety leads to define the safety architecture of our AI features.

The mission is to build cross-Workspace safety frameworks, develop advanced abuse-detection capabilities, and ensure product experiences are resilient against adversarial threats. You will work with global customers, regulatory bodies, and internal Go-to-Market (GTM) colleagues to understand the evolving digital safety landscape, translating complex risks into technical designs and robust product implementations.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $320,000-$445,000 + 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.

Responsibilities

• Define the product outlook and strategy for a cross-Workspace AI safety and risk platform that balances short needs to ship quickly and long-term goals to scale globally.
• Analyze threats and emerging AI capabilities to drive innovation, and deliver forward-thinking approaches to long-term opportunities, such as modernizing our threat prevent classifiers.
• Develop a comprehensive understanding of the company's product strategy and ensure the GenAI platform aligns with and enables that strategy.
• Own the cross-functional product development process from ideation through to launch.
• Drive the team's rhythm of business by managing leadership review forums and tracking key company-level deliverables. Advocate for a culture of experimentation and data-driven decision-making to rapidly bring excellent GenAI experiences to market.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
  

Preferred qualifications:

• Master's degree in a quantitative discipline.
  
• 2 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++.
• 2 years of experience or familiarity with machine learning systems.
  
• Excellent written and verbal communication skills.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

The AI Safety Protections team within Trust and Safety develops and implements AI/LLM-powered solutions to ensure the safety of generative AI across Google's products. This includes safeguards for consumer products, enterprise offerings on-device applications, as well as foundational models in collaboration with Google DeepMind.

As a member of our team, you'll have the opportunity to apply the latest advancements in AI/LLM, work with teams developing AI technologies, as well as protect the world from real-world harms.

This role works with sensitive content or situations and may be exposed to graphic, controversial, and upsetting topics or content.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities

• Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
• Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
• Partner with stakeholders to define key objectives, formulate relevant questions, and establish robust methodologies for extracting critical insights from data to address complex challenges.
• Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including senior leadership.
• Develop automated data pipelines and self-service dashboards to provide timely insights at scale.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 1 year of experience managing projects and defining project scope, goals, and deliverables.
• Experience working with SQL or Python.

Preferred qualifications:

• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering).
• Experience with scripting languages like Python.
• Experience in cyber-security, incident response, threat intelligence or threat detection.
• Experience with metrics design, process design or automation in particular in the adversarial space.
• Ability to explain complex technical issues clearly to stakeholders at different levels with excellent communication, data analysis and SQL skills.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

Responsibilities

• Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
• Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
• Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including executive leadership.
• Develop automated data pipelines and self-service dashboards to provide timely insights at scale.
• Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  
• 5 years of experience with design and architecture; and testing/launching software products.
  

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures and algorithms.
• 8 years of experience in developing infrastructure or solutions within large, complex, and cross-functional engineering environments.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 2 years of experience with technical innovation in data governance or related fields.

About the job

In this role, you will be passionate about ensuring comprehensive, automated, and ML lineage to enable AI governance at Google scale. You will be responsible for democratizing high-quality AI/ML data assets and infrastructure to enable Google to rapidly and iteratively deliver safe and impactful product experiences powered by AI models. You will accelerate trusted ML by making governance decisions automatically and will build scalable and automated infrastructure to manage ML assets at Google from development to launch with full traceability and auditability, without compromising developer velocity.

Responsibilities

• Work with partners from Google DeepMind and Product Areas (e.g., Ads, Search, YouTube, Cloud, etc.) to drive lineage coverage and governance tooling adoption. Influence partners and stakeholders within and across the organizations to build joint roadmaps and drive outcomes for AI governance: understanding all datasets used, approvals in scope, and integrity status of models being launched and served in compliance with relevant regulations.
• Build systems and mechanisms which ensure that all AI models that Google develops are trained on the right data subject contingencies.
• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
• Provide technical leadership on projects and manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related technical field or equivalent practical experience.
• 15 years of product management experience.

Preferred qualifications:

• Master's degree or PhD.
• 15 years of experience working within large-scale, global, technical organizations with multiple product lines.
• Ability to lead, mentor and grow a team of product managers and technical talent.
• Strong communication skills with the ability to represent and convert
  complex business or technical concepts with senior leadership.
• Demonstrated success leading initiatives, developing policies or thought leadership in regulated, high visibility domains.
• Demonstrated success aligning organizations across multiple product lines and successfully influencing the overall direction of a product or company.

About the job

The Core User Protection organization is seeking a highly analytical and
empathetic Product Manager to work on the most complex, deep-seated
problems related to AI safety. You will be responsible for defining the
product vision, strategy, and roadmap for features that protect our users
from abuse, harm, and platform manipulation, often dealing with ambiguous and highly contentious policy issues.

Within Core UP, this role will partner closely with the PM and Eng Directors and the Principal and Distinguished Engineers focused on content moderation and our safety platforms. Outside of our organization, you will collaborate regularly with teams in Trust & Safety, Google DeepMind, and the largest Google product areas.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $272,000-$383,000 + 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.

Responsibilities

• Transform content moderation across Google, moving from a purely human-centric model to one that is AI-first and AI-assisted. Partner closely with leaders across Google to create, drive and deliver innovative privacy and security products for our users across all Google platforms.
• Understand, anticipate and address emerging threats to user safety, especially those arising from the increasing use of AI by malicious actors.
• Drive product strategy for integrating disparate AI safety solutions across Google into a cohesive, scalable, and cost-effective ecosystem.
• Scale and productionize the roadmap for cutting edge AI Safety research. Define unified, holistic outcome safety metrics that can guide the AI safety work and priorities of the User Protection team.
• Inspire innovation that results in product transformation, drive improvements in security, safety and privacy metrics, and addresses gaps and opportunities across product experiences.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

Preferred qualifications:

• Master's degree or PhD in a relevant field.
• Experience working with or managing safety operations for AI/ML models, including an understanding of generative AI technical implementations and risks.
• Experience with thought leadership in an analytical anti-abuse environment (e.g., content abuse, spam, or behavioral abuse) and with large-scale content moderation.
• Excellent business judgment and communication skills, with the ability to build relationships and influence cross-functional partners across geographies to drive strategy and business action.
• Excellent strategic and problem-solving skills, with the ability to frame complex problems, structure data-driven analyses, and lead a team to drive tangible impact.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Fast-paced, dynamic and proactive, YouTube Trust and Safety is dedicated to ensuring that YouTube is a place for users, viewers, and creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust and Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever changing digital world.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $132,000-$194,000 + 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.

Responsibilities

• Orchestrate enforcement strategies and operational workflows for emerging YouTube GenAI products.
• Evaluate novel risk vectors—often without historical precedence—and influence their integration into the broader Trust and Safety mitigation roadmap. Define and manage the key performance indicators (KPIs) that measure the health and effectiveness of enforcement operations.
• Develop a keen understanding of various business models and the underlying technical implementations of GenAI features to ensure policy alignment.
• Navigate and master an evolving policy stack, determining the safety stance for multi-modal outputs (e.g., video, image, and text). Directly engage with and review graphic, controversial, or offensive content to ensure accurate application of GenAI policies.
• Synthesize complex data into high-level executive materials and recommendations to guide critical business and safety decisions. Manage high-priority escalations with rapid turnaround times, defining action plans and providing real-time updates to executive leadership.