{"id":2439314,"url":"https://alion.io/job/google-deepmind-product-manager-deep-zoom","title":"Product Manager, Deep Zoom","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":"middle","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":134000,"max_usd":263000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":645},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"Multimodal AI","optional":false}],"status":"live","first_seen_at":"2026-10-13T10:37:52Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T09:06:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nDeep Zoom is an immersive visual learning experience within the Gemini app and a priority for GenAI. We transform static answers into explorable, AI-generated visual worlds where users can dive deeper into topics across science, history, and nature. Having recently launched our initial 20 curated worlds, we are now building automated generation and evaluation foundations to scale to thousands of topics and unlock real-time, on-demand world generation.\nJoining Deep Zoom means shaping the future of multimodal, visual-first AI interaction. You will work at the generative media and evaluation alongside engineering, design, and research teams to build a flagship Gemini experience.\nArtificial intelligence will be one of humanity’s most transformative inventions. At 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.\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDrive execution to expand from 20 launch worlds to thousands of topic experiences, using demand signals to prioritize domains (science, history, nature) and streamline pipelines.\nOwn quality across storytelling depth, factual accuracy, and visual fidelity; partner with research/engineers to build automated evaluation pipelines.\nDefine how users enter, explore, and interact with visual scenes within the Gemini app, balancing immersion with effortless navigation.\nEstablish product health metrics (engagement, exploration depth) and connect live behavior back to offline quality evaluations.\nPartner day-to-day with Engineers, UX, and Research to translate roadmap goals into shippable quarterly milestones.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n3 years of experience in product management or related technical role.\nPreferred qualifications:\nExperience defining intuitive user experiences and establishing structured criteria or frameworks to measure and improve product quality.\nExperience using a data-driven approach to synthesize user behavior, demand signals, and evaluation metrics into actionable priorities.\nExperience navigating ambiguous product environments and translating complex requirements into repeatable systems.\nFamiliarity with generative AI capabilities and constraints, including LLMs, multimodal models, generative media, or model evaluation 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