{"id":3738515,"url":"https://alion.io/job/google-software-engineering-tech-lead-manager-search-intelligence-discover-user-understanding","title":"Software Engineering Tech Lead Manager, Search Intelligence, Discover User Understanding","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":138,"ghost_share":0.043,"stale_share":0.696,"repost_share":0.043,"time_to_fill_p50_days":30,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Knowledge Distillation","optional":true},{"name":"Model Distillation","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-11-04T09:38:11Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T22:44:49Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.\nWith technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.\nDiscover User Modeling and Retrieval builds Google's foundational knowledge of what people care about, and uses it to power Discover. These models drive hundreds of billions of recommendations a day in Discover, are critical personalization signals in downstream ranking, and feed personalization across Google, including Search Suggest, News, Search notifications and Shopping.\nYou will lead the team that owns Discover's interpretable, token-based user models, including Long-Term Interest and Creator models. These are the models that build the billions of interest profiles above, and the ones other Google products rely on.\nIn Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. \nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nManageand grow a team of engineers, mixing senior technical leads and early-career engineers, while developing each engineer's career and building a high-velocity team culture.\n\nPartner closely with DeepMind and Infra teams, and own our models end-to-end, from research ideas to production launches, at a scale few places can offer.\nSet and own the multi-quarter technical strategy and roadmap for token-based user modeling with the team's tech leads, product management, and partner teams.\nDrive the rebuild of interest-vocabulary redesign, unification of the token models, and the next-generation model architecture by making sound technical trade-offs and running thoroughdesign reviews.\nRaise the bar on experimentation and evaluation by investing in offline evaluation that predicts online results (including LLM-based autoraters), faster iteration loops, and disciplined live-experiment and launch practices.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n8 years of experience in software development, including 5 years in machine learning, recommendation, personalization, ads or search quality.\n2 years of experience in a people management or team leadership role.\nExperience training, evaluating, or launching models for recommender systems.\nExperience with applied machine learning for recommendation, retrieval, or search platforms.\nPreferred qualifications:\nExperience re-architecting production ML systems while maintaining downstream compatibility and stability.\nManagement experience, leading a team of 5 or more engineers.\nKnowledge of modern recommender-system and ML 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