{"id":1920018,"url":"https://alion.io/job/google-deepmind-product-manager-new-consumer-verticals","title":"Product Manager, New Consumer Verticals","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","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":{"min_usd":163000,"max_usd":299000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2544},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Gemini","optional":false}],"status":"live","first_seen_at":"2026-10-05T15:40:13Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-22T01:49:48Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"About the job\nIn this role, you will have an opportunity to join DeepMind’s Verticals and Services team, working across Google and DeepMind to drive improvement for consumer verticals (starting with consumer finance). You will define the product strategy, roadmap, and key features that will enable users and developers to adopt Gemini for high priority use cases.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.\nUS: $217000 - $236000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nOwn the roadmap for new consumer verticals across GDM by identifying and prioritizing high-value use cases to address.\nPartner with AI Research teams to test, tune, and productionize new model capabilities related to consumer verticals - e.g., for finance (e.g., agentic behaviour, multi-file input, financial logic/reasoning).\nExperiment rapidly with prompting patterns, user flows, and agentic harnesses to demonstrate capabilities and discover new opportunities.\nCollaborate with Google products (and third-parties) to re-invent, prioritize, and build AI-powered experiences for users (e.g., for consumer finance).\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n5 years of experience in product management or a related technical role.\n5 years of experience taking technical products from conception to launch.\nPreferred qualifications:\nExperience in building AI-powered consumer products.\nExperience working in personal finance, including financial planning, investing etc.\nDemonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts.\nProven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products.\nExperience working on legal or policy issues related to technology products.\nDemonstrable, extensive technical knowledge and product experience with advanced AI technologies, including Large Language Models 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