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Tech Strategy Director, Compute, Google DeepMind

Google DeepMind Mountain View, California, US Full-time Office of the CEO Posted Jan 26, 2026
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Culture signals in this specific role

Inferred from the employer’s wording in this job description. These role-level signals are separate from the company-wide employee-review scores below.

OwnershipThe description emphasizes ownership or end-to-end responsibility.
Cross-functionalThe role explicitly involves collaboration across teams or functions.
Deep technical workThe role highlights substantial technical, research, or systems work.
Mission-ledThe role connects its work to mission, safety, or broader impact.

What it’s like to work at Google DeepMind

AI Research Lab · London, UK

4.2
Employee Rating
4
Work-Life Balance
10
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

This is a critical and high impact strategic role that will drive AI strategy, infrastructure investments and AI product portfolio optimization across Google. The role sits within Google DeepMind’s Technology Strategy (TechStrat) function and is a leadership role within Techstrat’s Compute team. Since compute has become the key ingredient for AI model leadership, AI serving success and next generation AI research, this leader will drive high impact decisions that will define the success of Google, with implications on the future of AI for the world.

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

As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding. They will be constantly looking for opportunities to push the envelope of impact from our investments in AI and inspire the team to do the same. This leader will also drive the synthesis of the situation into SVP+ consumable frameworks and crisp grounded and data backed options. They will then ensure the strategy is executed flawlessly partnering with a multitude of cross functional teams and stakeholders.

Key responsibilities

Personally drive and amplify impact through leading a team to

About you

Are you a PM who thrives as both a central hub orchestrating complex and long running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing? This is the job for you. In both cases, you must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company. If you have high energy, a positive attitude, strong tech judgment, excellent interpersonal skills, and are excited to handle complex pan-Google topics and SVP audiences, this job will offer an opportunity to have a massive company-wide impact.

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

In addition, the following would be an advantage:

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 opportunities 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.

Application deadline: 13th Feb 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.

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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 10 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.
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