About the Role
Support the analytical and operational frameworks that enable Leadership (SVP+) 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. 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.
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.
Requirements
- 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.
Qualifications
- 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.
Benefits
Not explicitly mentioned, but DeepMind is a major tech company, so standard benefits apply. (No salary range listed)