Tech Strategy Product Manager, Google DeepMind

Tech Strategy Product Manager, Google DeepMind

Mountain View, California, US

Snapshot

Support the analytical and operational frameworks that enable leadership decision forums to govern compute utilization and planning. You will be responsible for translating complex data into the strategic insights that align DeepMind and Google's broader AI strategy.

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.

Key Responsibilities

• Investigative Modeling: Conduct rigorous, deep-dive investigations into Google's hardest long-range strategic questions, providing the data-driven clarity needed for executive decision-making.
• Scenario Architecture: Model complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.
• SVP+ Content Support: Contribute to the development of high-stakes presentations, communications, and mandates for SVP-level forums, ensuring technical accuracy and narrative flow.
• Cross-Functional Partnership: Act as a bridge between technical teams and strategy, partnering with virtual teams across Google to ensure product and policy plans are grounded in reality.
• Execution & Monitoring: Help maintain per-mandate monitoring views to keep programs accountable; collaborate with MLSA to ensure company-wide mandates are organized and delivering on goals.
• Strategic Cataloging: Maintain a "living catalog" of ongoing experiments and proposed innovations across Google to identify topics worthy of senior executive discussion.

About You

You are a Product Manager who thrives in high-velocity, high-intensity environments where the stakes are massive and the pace is relentless. You are an execution-oriented IC who can quickly create "something out of nothing," iterate based on feedback from senior leaders, and move immediately to the next challenge.

This role is for you if:

• You demonstrate the analytical rigor and strategic curiosity required to sustain a high level of performance across complex, pan-Google workstreams—pairing a 'big picture' perspective with the ability to remain precise and detail-oriented at the speed of an SVP-led forum.
• You are a master of execution—you don't just point at problems; you build the models (often joining together disparate data sources from multiple teams) and write the documents that solve them.
• You are an expert at synthesis, possessing the communication skills to distill complex "noise" into actionable "signal" for executive audiences, delivering elite-level work even under the most demanding deadlines.

Skills and Experience

• BA/BS degree or equivalent practical experience in a technical and/or business area.
• 5+ years of experience in product management, management consulting, or a high-growth corporate strategy role.
• Exceptional organizational talent and experience running high-velocity, high-impact programs.
• Strong analytical fluency: Deep experience in a role that deals with machine learning, compute infrastructure, or large-scale data modeling.
• Innovative problem solver who can turn ambiguous, messy problem spaces into clear, executable solutions.

In addition, the following would be an advantage:

• Familiarity with the role of compute and data in building LLMs and the technical capabilities of these models.
• A proven track record of "managing up" and supporting senior stakeholders in a complex, matrixed business environment.
• Experience in corporate planning or product operations within a major tech ecosystem.
• Ability to manage multiple, concurrent, highly complex workstreams with minimal friction.
• A "bias towards action" and a history of creative problem-solving in fast-paced settings.

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.

Application deadline: 13th Feb 2026

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