{"id":3528196,"url":"https://alion.io/job/google-deepmind-technical-program-manager-cross-product-execution-and-model-feedback-operations","title":"Technical Program Manager, Cross-Product Execution and Model Feedback Operations","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":169000,"max_usd":313000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2761},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"AI Agents","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-10-30T14:41:32Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T10:21:05Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the job\nArtificial intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\nTo turn Google’s product scale into a lasting advantage, DeepMind requires a strong, two-way bridge between our frontier AI research and Google’s global product ecosystems.\nAs a Technical Program Manager for Cross-Product Engagements, you will build and scale the operating model connecting DeepMind’s research teams with Google’s major product divisions. Stepping above day-to-day launch execution, you will focus on the broader strategic ecosystem helping product teams adopt frontier models and shared AI capabilities faster, while channeling real-world product insights and evaluation signals back into research. By connecting model advancements with long-term product roadmaps, you will ensure DeepMind and our product partners maintain a shared technical goal and seamless alignment across major company priorities.\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 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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nPartner with executive leadership across DeepMind and Google’s product divisions to align frontier research roadmaps, product strategy, and shared multi-year goals.\nDefine clear rules of engagement and manage a prioritized portfolio of cross-product AI initiatives, leading executive review forums focused on strategic prioritization, resourcing trade-offs, and cross-organizational alignment.\nPartner with product and research teams to connect real-world product insights with core research, establishing scalable frameworks for outcome-based evaluations and structured product feedback that inform future model development.\nAccelerate how Google’s products adopt new frontier models by driving structured model lifecycle planning and shared AI foundations across multiple surfaces.\nSynthesize model performance, infrastructure constraints, and roadmap dependencies across research and product teams to resolve cross-cutting bottlenecks and frame clear trade-offs for executive leadership.\nQualifications\nMinimum qualifications:\nBachelor's degree in a technical field, or equivalent practical experience.\n8 years of experience in program management.\nExperience in technical program management, cross-functional collaboration, and software development.\nExperience working with Artificial Intelligence or Machine Learning technologies.\nPreferred qualifications:\n8 years of experience managing cross-functional or cross-team projects.\nExperience with modern LLMs, multimodal models, and agentic systems.\nExperience with model training, evaluation design, and inference economics (latency, cost, 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