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Technical Program Manager, Antigravity (Modeling & Evals)

Google DeepMind Mountain View, California, US Full-time GenAI Posted May 26, 2026
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What it’s like to work at Google DeepMind

AI Research Lab · London, UK

4.2
Employee Rating
4
Work-Life Balance
45
Open Roles
deep-worklearningeng-drivendiverseethical-aiequityflex-hours

What employees love

  • World-class AI research environment with brilliant, collaborative colleagues
  • Google-level compensation and benefits with genuine work-life balance

What could be better

  • Google-scale bureaucracy — slow decision-making compared to startups
  • Large org means less individual ownership and impact on direction
View full Google DeepMind culture profile →

About the Role

Snapshot

Artificial 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

The Role

We are looking for a Technical Program Manager to lead critical initiatives across Modeling, Data, Evaluations, and User Signals for the Antigravity team. You will play a key role in enhancing our models and product by managing the end-to-end lifecycle of data contributions, model development, evaluation processes, and feedback loops. This role involves close collaboration with research teams, managing custom model pipelines, analyzing user signals from multiple sources, and overseeing vendor-based testing.

Key responsibilities:

About You

In order to set you up for success as a Technical Program Manager at DeepMind, we look for the following skills and experience:

In addition, the following would be an advantage:

The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm PST Tuesday 13th January 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 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, maternity 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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Frequently Asked Questions

What is the work-life balance like at Google DeepMind?
Google DeepMind has a work-life balance score of 4/5 based on employee reviews. This is above average, suggesting the company genuinely respects work-life boundaries.
What is Google DeepMind’s culture like?
Google DeepMind is characterized by these culture values: deep-work, learning, eng-driven, diverse, ethical-ai, equity, flex-hours. Based on employee reviews, the company has an overall rating of 4.2/5. World-class AI research environment with brilliant, collaborative colleagues
How many open roles does Google DeepMind have?
Google DeepMind currently has 45 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in Mountain View, California, US. Check the job description above for specific location and remote work details.
Apply for this role at Google DeepMind →