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About Us
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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.
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The role
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Sitting within the GenAI programs, this role is part of the Post-Training programs team. This role will work with core modeling and cross-functional teams to ensure end-to-end model quality for our release models.
Key responsibilities
- Support Model Training: Collaborate closely with the modeling team to support core model training, meticulously track priorities, issues, and experimentation results, coordinate alignment, assessment, and communication with model capability teams, drive user testing and feedback collection to inform ongoing model development
- End-to-end Model Release: Own the end-to-end model release cycle. Manage checkpoint upload, generate comprehensive documentation, coordinate serving/deployment, capacity planning, and rigorous cross-functional testing. Provide proactive status updates to stakeholders, and effectively triage model issues back to the modeling team.
- Model Evaluation: Possess a deep understanding of AI model evaluation methodologies. Collaborate with data scientists to design and integrate model evals, execute evals, and conduct loss analysis to inform model quality.
- Process Optimization: Identify gaps in the current workflow and propose and implement strategic, scalable improvements to enhance efficiency and quality.
In addition to the above, we expect you to
- Scope and drive complex, ambitious programs that span multiple teams, manage simultaneous projects balancing immediate deliveries with long-term strategic success.
- Thrive in rapidly evolving, ambiguous project environments, adeptly adjusting plans and strategies as project conditions change.
- Unite diverse teams for fast-paced execution and deliveries.
- Be the trusted owner of project status, proactively identifying dependencies, risks, and issues, ensuring clear progress and visibility across stakeholders.
- Cultivate strong relationships with key stakeholders, influencing actions and outcomes without direct authority, ensuring alignment among the stakeholders.
- Be highly organized, self-motivated, consistently drive process improvements, streamlining and simplifying execution, and identifying tooling efficiencies if applicable.
- Have excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences including executive leadership.
Requirements
- BS degree in Computer Science, Engineering, or related technical field
- 8+ years of leading large-scale highly complex engineering projects, preferably across multiple geographies and time zones
- Strong technical acumen - ability to quickly learn and deeply understand the technical aspects of the programs from interface to infrastructure, serving, and customer issues, and drive technical discussions.
- Experience in model training and model releases.
- Excellent skills in managing complex stakeholder relationships.
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About you
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In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:
- Demonstrated success in fast-paced program execution and deliveries
- Ability to interact with diverse technical and non-technical audiences, spanning all functions and organizational levels
- Excellent organizational, analytical, prioritization, communication and influencing skills. Ability to manage multiple concurrent complex interactions with geographically disparate teams.
- Exceptional skills influencing, team building, and delivering solutions in a highly complex, always changing, and nebulous environment.
- Self driven, excellent oral/written communication, interpersonal, and analytical skills. Outstanding organizational, prioritization, and multitasking skills.
In addition, the following would be an advantage:
- Strong understanding of ML/AI principles and their distinctions from traditional software development
- Hands-on experience program managing AI model training
- Have well-rounded experience including working with research as well as delivering to production usage (deployment and launches)
The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: October 3, 2025
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.
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