Tech Strategy Director, Compute, Google DeepMind

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 position 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 for the future of AI globally.

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.

Responsibilities

• Personally drive and amplify impact by leading a team to investigate and clarify some of Google’s hardest long-range strategic questions in AI.
• Create new and partner with existing virtual teams across Google to develop comprehensive product and policy plans that stand the test of time.
• Model scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google.
• Create SVP+ forum content (presentations, communications, mandates).
• Help develop a per-mandate monitoring view to keep programs accountable.
• Collaborate with operational teams and forums in AI to ensure company-wide SVP+ mandates are well-organized, staffed, and delivering on desired goals.
• Stay connected across Google to maintain a living catalog of ongoing experiments and proposed innovations that may become worthy of discussion at NRC.
• Identify gaps in processes and information and propose or implement solutions.

Qualifications

• BA/BS degree in Computer Science, Electrical Engineering, 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; adept at working with technical and cross-functional or highly matrixed teams to drive aligned decision-making.

Skills

• Familiarity with the role of compute and data in building LLMs and the capabilities of these models (advantageous).
• 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 (advantageous).
• 5+ years of product strategy work experience in managing highly complex, technically challenging projects spanning a wide set of stakeholders (advantageous).
• A quantitative and analytical mentality to understand Google PA and external user needs (advantageous).
• Experience navigating sensitive organizational dynamics (advantageous).
• Collaboration within data-driven or quantitative-focused teams (advantageous).
• A consistent record of creative problem-solving and a bias toward 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 (advantageous).
• Ability to manage multiple concurrent complex interactions with geographically disparate teams.
• Past people management experience; experience in hiring and leading teams, including distributed teams (advantageous).

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.