Policy Enforcement Manager, Shopping, YouTube Trust and Safety Operations

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
• Experience interpreting operational data to define issue statements, identify trends, and communicate insights to leadership.
• Experience managing operational workflows, vendor or queue performance metrics (SLOs, quality), or cross-functional safety initiatives.
  
  

Preferred qualifications:

• Master's degree in relevant field.
• Experience with machine learning.
• Experience in operations including Shopping/e-commerce, vendor management, workflow optimization, process design or management consulting.
• Proficiency in data analytics, including working with datasets, querying multiple data sources, and performing analyses to track performance metrics and drive operational improvements.
• Ability to manage ambiguity, work autonomously, define successful approaches, and proactively solve problems across cross-functional teams.
• Excellent communication and presentation skills with the ability to influence cross-functionally at various levels.
  
  

2026-08-06T12:37:49.397Z 105519306875249350 Staff Software Engineering, GenAI Applications, YouTube h3Minimum qualifications:/h3ul liBachelor's degree or equivalent practical experience. /li li8 years of experience in software development.br/li li5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture./li li5 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing./li /ulbrh3Preferred qualifications:/h3ul li8 years of experience with data structures and algorithms./li liExperience leading technical strategy for large-scale projects and mentoring executive engineers./li liExperience designing and implementing complex context retrieval systems (context scaffolding) for large language models in production./li liProficiency in SQL./li liUnderstanding of vector space models, semantic search, and experience evaluating embedding techniques (e.g., dense versus sparse retrieval, re-ranking strategies)./li liAbility to independently query massive datasets to diagnose model behavior, identify edge cases, and drive data-informed architectural decisions./li /uldivh2About the job/h2pGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.brbrWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions./p pThe YouTube GDA (Generative Data Analytics) team in YouTube Data Organization is democratizing the data ecosystem by leveraging Large Language Models (LLMs) to transform complex data into actionable intelligence.brbrAs a Software Engineer, you will architect the semantic layer that powers GDA products like YouTube SQL Assistant, YouTube Debugger, etc. You will define how our models understand YouTube’s massive data landscape, owning the end-to-end strategy for context retrieval./ppAt YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, 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./pIndividual pay is determined by factors including job-related skills, experience, and relevant education or training. brbrUS: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsbrbrLearn more about a href="https://www.google.com/about/careers/applications/benefits/" target="_blank"benefits at Google/a./divdivh2Responsibilities/h2ul lispanDesign and implement dynamic context construction strategies for RAG (Retrieval Augmented Generation) systems./span/li liSolve challenges related to limited context versus massive schema documentation, optimizing for precision, recall, and cost./li liLead the evaluation and fine-tuning of embedding strategy (dense, sparse, and hybrid) to capture domain-specific YouTube terminology. You will decide how we represent data tables, column definitions, and debug logs in vector space./li liBuild data pipelines that keep our semantic index fresh in real-time as YouTube’s data schemas evolve./li liMentor Senior Engineers, drive technical roadmap planning, and collaborate with partners in Google DeepMind and YouTube infrastructure to adopt research./li /ul/div
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also a href="https://careers.google.com/eeo/"Google's EEO Policy/a and a href="/jobs/dist/legal/OFCCP_EEO_Post.pdf"EEO is the Law./a If you have a disability or special need that requires accommodation, please let us know by completing our a href="https://goo.gl/forms/aBt6Pu71i1kzpLHe2"Accommodations for Applicants form/a. https://careers.google.com/jobs/results/105519306875249350-staff-software-engineering/ FULL_TIME YouTube en-US SOFTWARE_ENGINEERING onsite NoNo San Bruno CA USA h3Minimum qualifications:/h3ul liBachelor's degree or equivalent practical experience. /li li8 years of experience in software development.br/li li5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture./li li5 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing./li /ulbrh3Preferred qualifications:/h3ul li8 years of experience with data structures and algorithms./li liExperience leading technical strategy for large-scale projects and mentoring executive engineers./li liExperience designing and implementing complex context retrieval systems (context scaffolding) for large language models in production./li liProficiency in SQL./li liUnderstanding of vector space models, semantic search, and experience evaluating embedding techniques (e.g., dense versus sparse retrieval, re-ranking strategies)./li liAbility to independently query massive datasets to diagnose model behavior, identify edge cases, and drive data-informed architectural decisions./li /uldivh2About the job/h2pGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.brbrWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions./p pThe YouTube GDA (Generative Data Analytics) team in YouTube Data Organization is democratizing the data ecosystem by leveraging Large Language Models (LLMs) to transform complex data into actionable intelligence.brbrAs a Software Engineer, you will architect the semantic layer that powers GDA products like YouTube SQL Assistant, YouTube Debugger, etc. You will define how our models understand YouTube’s massive data landscape, owning the end-to-end strategy for context retrieval./ppAt YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, 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./pIndividual pay is determined by factors including job-related skills, experience, and relevant education or training. brbrUS: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsbrbrLearn more about a href="https://www.google.com/about/careers/applications/benefits/" target="_blank"benefits at Google/a./divdivh2Responsibilities/h2ul lispanDesign and implement dynamic context construction strategies for RAG (Retrieval Augmented Generation) systems./span/li liSolve challenges related to limited context versus massive schema documentation, optimizing for precision, recall, and cost./li liLead the evaluation and fine-tuning of embedding strategy (dense, sparse, and hybrid) to capture domain-specific YouTube terminology. You will decide how we represent data tables, column definitions, and debug logs in vector space./li liBuild data pipelines that keep our semantic index fresh in real-time as YouTube’s data schemas evolve./li liMentor Senior Engineers, drive technical roadmap planning, and collaborate with partners in Google DeepMind and YouTube infrastructure to adopt research./li /ul/div
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also a href="https://careers.google.com/eeo/"Google's EEO Policy/a and a href="/jobs/dist/legal/OFCCP_EEO_Post.pdf"EEO is the Law./a If you have a disability or special need that requires accommodation, please let us know by completing our a href="https://goo.gl/forms/aBt6Pu71i1kzpLHe2"Accommodations for Applicants form/a.