Director of Product Management, Applied AI Enterprise Verticals, DeepMind

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

DeepMind’s Applied AI team seeks a Director of Product Management to bridge cutting-edge research and real-world enterprise transformation. You will partner with industry leaders across media, entertainment, and creative sectors, alongside research engineers and cross-functional teams, to identify, scope, and deploy frontier AI solutions.

As a bridge between research and industry, our mission is two-fold: deploy breakthrough AI solutions that unlock tangible business value, and channel insights from messy real-world environments back into our development processes to shape future research trajectories.

You will construct technical solutions, conduct rigorous evaluations, manage complex engagements from discovery to delivery, and empower a talented team of product managers across multiple sectors. If you thrive in ambiguous environments, this role offers unparalleled opportunities to advance frontier generative AI by working on challenging enterprise problems.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Responsibilities

• 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.