{"id":4262871,"url":"https://alion.io/job/google-deepmind-technical-program-manager-physical-ai-and-creative-technologies","title":"Technical Program Manager, Physical AI and Creative Technologies","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"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":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"World Models","optional":false},{"name":"Embodied AI","optional":true}],"status":"live","first_seen_at":"2026-11-13T13:39:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T15:55:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nAs a TPM in Frontier Research, you will help scale two high-priority research areas. Within the Physical AI space, you will work alongside research leadership, sharpening strategy, building scalable roadmaps, and driving execution as the portfolio grows. Within Creative Technologies, you will help turn bold, frontier research ideas into proven breakthroughs and build the bridges that bring them into our mainline models. Across both, you will navigate immense technical complexity, manage critical cross-functional dependencies, perform engineering due diligence, and accelerate the path from research idea to model impact. This role demands an exceptional ability to provide clarity within ambiguous environments and implement creative solutions in a fast-paced, competitive scientific landscape.\nYou will partner with Research Leads to bring structure, strategy, and momentum to a growing body of research on AI that perceives, understands, and interacts with the physical world. You will own program planning, cross-team alignment, and execution across a different and fast-moving portfolio.\nYou will help drive blue-sky, frontier research in media generation and agents for media creation, pushing the state of the art in how models generate and refine images, video, and audio. You will help take ambitious ideas from early exploration to proven results, land them, and push them into our mainline models, partnering closely with core modeling teams on priorities and landing timelines.\nTechnical knowledge in robotics, world models, media generation, AI agents, or multimodal model development is beneficial but not required; curiosity and the ability to ramp quickly on deep technical topics are essential.\nArtificial 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.\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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nTranslate complex research and engineering efforts into execution plans and measurable goals to actively drive delivery. Build and optimize scalable operational frameworks to monitor program performance and anticipate technical risks.\nEngage deeply with model architectures, training, and data to establish roadmaps and influence technical direction.\nBuild and guide effective cross functional partnerships across different disciplines (research, modeling, data, infrastructure, evaluation, responsibility, safety) and partner teams across Google, to ensure alignment on shared objectives.\nIdentify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.\nDrive strategic planning for mission-critical resources (compute and data management, allocation) to respond to a rapidly changing competitive landscape.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Computer Science, Engineering, a related technical field.\n8 years of experience in technical program management in a technical or research environment.\nExperience in machine learning and working with researchers and engineers on model design, training, data, and evaluation.\nPreferred qualifications:\nExperience driving generative model research from early exploration through to measurable results.\nExperience landing research into production models or products, working across research and core modeling teams on data, evaluations, integration.\nExperience with AI agents or agentic systems, or with physical AI areas (i.e. robotics, embodied AI, world models, simulation).\nTrack record of building programs from 0-1 in ambiguous, rapidly evolving technical spaces.\nStrong problem-solving skills, and ability to understand technical systems and identify opportunities for optimization.\nPassion for the future of AI and the ability to grow in a dynamic, fast-paced environment where technology meets real-world 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