Director of Product Management, Applied AI Enterprise Verticals, DeepMind

• Lead discovery discussions with enterprise executives and technical teams, maintaining contemporary understanding of AI advances to intuitively identify, predict, and scope high-impact generative AI opportunities delivering business value.
• Drive scoping and progress of engagements programmatically and technically, focusing on building rigorous model evaluations, identifying loss patterns, and transforming complex data to systematically test product hypotheses.
• Lead, develop, and mentor a high-performing team of Applied AI product managers to scale organizational impact across multiple cutting-edge AI models and global industry sectors.
• Contribute to DeepMind-wide strategic initiatives, advancing product thinking and accuracy to complement research while proactively mapping emerging enterprise opportunities directly to evolving model capabilities.
• Orchestrate cross-functional collaboration across DeepMind Research Engineers, client executives, go-to-market, partnership, and legal teams to establish firm foundations for all customer engagements and support ongoing frontier model development.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 15 years of experience in product management.
• 5 years of experience in people management, managing a team of product managers.
• Domain experience in AI/ML (trajectories, evaluation, and context knowledge).

Preferred qualifications:

• Product and software experience with advanced AI/LLMs (fine-tuning, agent harnesses, MCP/UCP protocols), AI safety, adversarial analysis, and proactive ethical risk mitigation.
• Track record of translating nuanced user insights into intuitive AI experiences while delivering compelling technical presentations to executive leadership.
• Expertise designing AI evaluation frameworks and metrics, translating model behaviors and performance insights into strategic, product enhancements in ambiguous environments.
• Success building, mentoring, and leading product management teams, driving cross-functional alignment across engineering, legal, marketing, and go-to-market to deliver innovative multi-industry solutions.

• Bachelor's degree or equivalent practical experience.
• 15 years of experience in product management.
• 5 years of experience in people management, managing a team of product managers.
• Domain experience in AI/ML (trajectories, evaluation, and context knowledge).