Tech Strategy Director, Compute, Google DeepMind · Google DeepMind

Mon, 16 Mar 2026 14:41:08 GMT
Engineering

Google DeepMind · Mountain View, California, US · onsite
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. 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. The role will involve personally driving and amplifying impact through leading a team to investigate and drive clarity on some of Google's hardest long-range strategic questions in AI, creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time, modeling scenarios and various trade-offs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google, and creating SVP+ forum content (presentations, communications, mandates). To be successful in this role, you will need to be 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. 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. In order to set you up for success as a Product Manager at DeepMind, we look for the following skills and experience: * BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area * 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives. * Exceptional organizational talent running high-velocity, high-impact, strategic programs * Stellar verbal and written communication; past experience with SVP/VP+ level audiences * Extensive experience in product operations and business strategy * Strong analytics, strategy, and data fluency experience * Experience in a role that deals with machine learning and/or compute * Innovative problem solver that can turn ambiguous problem spaces into clear solutions * Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making In addition, the following would be an advantage: * Familiarity with the role of compute and data in building LLMs and the capabilities of these models * Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools * 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders * A quantitative and analytical mentality to understand Google PA and external user needs * Experience navigating sensitive organizational dynamics * Collaborating within data-driven or quantitative-focused teams * A consistent record of creative problem solving and a bias towards action * Outstanding business judgment * Outstanding organizational, prioritization, and multitasking skills * Excellent communication skills * A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment * Experience in corporate planning * Ability to manage multiple concurrent complex interactions with geographically disparate teams * Past people management experience; Experience in hiring and leading teams, including distributed teams