{"id":4262873,"url":"https://alion.io/job/google-deepmind-technical-program-manager-responsibility-2","title":"Technical Program Manager, Responsibility","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Threat Modeling","optional":true}],"status":"live","first_seen_at":"2026-11-13T10:40:47Z","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\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.\nUS: $163000 - $236000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nPartner with research/engineering leads and SMEs to translate safety risks into measurable technical goals, driving strategic planning and compute resource allocation.\nBuild and guide effective cross-functional partnerships across modeling, infrastructure, evaluation, governance, and public policy teams to resolve blockers and shape regulatory requirements.\nImplement robust program management frameworks (OKRs, stand-ups, retrospectives, dashboards, decision logs) to track progress, preempt risks, and optimise workflows while fostering a collaborative, interdisciplinary team culture.\nDistill complex technical updates into clear, actionable insights for executive leadership and external partners.Manage program budgets, forecasting spend, purchase order reconciliation, and strategic resource allocation.\n\nCollaborate with leadership on cross-industry ‘horizon scanning’ to identify and maintain visibility of current and future external and internal testing requirements from regulators, government bodies, and wider industry standards to inform program strategy.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\n5 years of experience in technical program management, software engineering, or research engineering.\n3 years of experience partnering with research or engineering leads to deliver AI/ML programs, evaluation suites, or safety frameworks.\nPreferred qualifications:\nExperience in frontier AI safety, red-teaming methodologies, threat modeling, or dangerous capability evaluations for large language models (LLMs) and autonomous agents.\nKnowledge or active interest of AI Ethics, AI Safety, Public Policy etc.\nAn understanding of model evaluation methodologies for determining the frontier risks of modern AI models; 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