Technical Program Manager, AI Safety at DeepMind

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

229000.0

Posted On

07 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Program Management, AI Safety, Model Training, Stakeholder Management, Communication Skills, Machine Learning, AGI Safety, Project Planning, Organizational Efficiency, Problem Solving, Collaboration, Research, Process Improvement, Executive Reviews, Consensus Building

Industry

Research Services

Description

Snapshot This role is on the Post-Training & Alignment Technical Program Management (TPgM) team. We drive the operational design and execution for the post-training area, enabling teams to make rapid progress on our mission. Asa Technical Program Manager for AI Safety, you will be the core orchestrator ensuring that our Gemini models are safe. This TPM role is situated within the Post-Training & Alignment TPgM team, involves driving the operational strategy and execution of all safety initiatives from coordinating model training and evaluation infrastructure to managing a broad portfolio of cutting-edge AGI Safety & Alignment research. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google 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. The Role This is a high-impact opportunity for an exceptional Technical Program Manager to cover a critical area of AI Safety. This role involves close collaboration with a geographically dispersed, virtual team spanning Mountain View, New York, London, and Zurich, all focused on the shared mission of developing, deploying, and researching safe AGI. The role requires a high tolerance for ambiguity inherent in cutting-edge AI research and operates at a fast pace. The role requires a highly organized individual who excels at managing complex stakeholder relationships and connecting teams across Google DeepMind to drive successful outcomes. Key responsibilities: Support the end-to-end delivery of SFT and RL training data for AI Safety, creating and maintaining the structure (meetings, project plans) needed for on-time delivery. Dive deep into technical details, including understanding losses and evaluations for Safety to ensure they accurately measure the problems we are trying to solve and develop solutions. Support a portfolio of work from model development to long term research in AGI Safety & Alignment. Drive organizational efficiency by improving processes, streamlining execution, and implementing tooling improvements where applicable. Proactively identify and drill down into blockers, moving quickly to unblock the research and engineering teams. Coordinate across diverse groups within Gemini, including Release teams, Model Behavior, Multi-turn research and ensuring all stakeholders are aligned on plans and timelines. Manage high-visibility executive reviews, ensuring they are well-prepared, run smoothly, and provide clear visibility into program status. Build consensus and influence outcomes across diverse teams and key stakeholders, ensuring strong alignment without relying on direct authority About You In order to set you up for success as the a TPgM at Google DeepMind, we look for the following skills and experience: Requirements: 5+ years of leading large-scale complex programs, preferably across multiple geographies and time zones. Possess excellent communication skills to articulate complex technical concepts clearly to diverse audiences, including executive leadership. Demonstrated success in fast-paced program execution and deliveries. Good understanding of large language models, with knowledge of multi-turn conversations or model behaviour and other alignment related topics in machine learning. Demonstrated management experience. Must be fluent in English and flexible to work cross-timezone. In addition, the following would be an advantage: Degree in Computer Science, Engineering or equivalent professional experience. Strong understanding of ML/AI principles and the distinctions from traditional software development. The US base salary range for this full-time position is between $156,000 USD - 229,000 USD+ bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: January 20, 2026 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Responsibilities

The role involves supporting the end-to-end delivery of training data for AI Safety and managing a portfolio of work in AGI Safety & Alignment. Additionally, it requires driving organizational efficiency and coordinating across diverse groups within the organization.