Director, Product Management, Cloud AI and Science

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA; San Francisco, CA, USA.

Minimum qualifications:

• 15 years of product management experience, delivering technical platform products or enterprise SaaS solutions.
• 5 years of experience hiring, developing, and leading teams of product managers.
• Experience launching products in machine learning, artificial intelligence, large language models (LLMs), or advanced scientific computing.

Preferred qualifications:

• Master's degree or PhD in a quantitative scientific field (e.g., Computational Biology, Chemistry, Meteorology, or Computer Science), or an MBA.
• Experience working within or selling to the Healthcare and Life Sciences (HCLS), Quantitative Finance, Public Sector, or Logistics industries.
• Experience pricing and package-structuring 0-to-1 AI and enterprise SaaS products, managing profit and loss (P&L), and driving enterprise software commercial models.
• Understanding of agentic architectures, multi-agent coordination, human-in-the-loop system design, and advanced evaluation methodologies.
• Ability to build relationships and influence senior research scientists (e.g. Google DeepMind) and engineering teams in highly matrixed organizations without direct authority.

About The Job

As the Director of Product Management, Cloud AI and Science, you will lead the strategic outlook, product development, and commercialization of Google's enterprise AI agent platforms and domain-specific science models. Sitting at the edge of the AI revolution, your portfolio bridges Google's enterprise AI and agent infrastructure with groundbreaking research coming out of Google DeepMind (GDM).

In this role, you will have end-to-end ownership of highly strategic product pillars focused on developing advanced, long-running AI agents for scientific discovery, building optimization systems that drive operational efficiency across the enterprise, and scaling the commercial deployment of domain-specific research models onto Google Cloud's enterprise platforms.

Additionally, you will utilize a unique blend of deep technical comprehension (e.g., scientific computing, agentic workflows, complex evaluation systems), business and commercialization acumen (e.g., enterprise pricing, monetization, and value-packaging strategy), and stakeholder management. You will work with a high-performing team of product managers, collaborate closely with senior engineering leaders, and partner directly with DeepMind research teams to turn raw scientific research into indispensable, high-value enterprise workflows.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $281000 - $391000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

• Recruit, mentor, and scale a team of product managers. Define the strategic roadmap to scale our scientific and research model portfolio for enterprise.
• Transition advanced AI agents and model platforms from early access to high-adoption, self-serve production. Establish robust evaluation frameworks and optimize user experiences to meet customer needs.
• Partner with Google DeepMind Research to build highly automated hosting and onboarding systems, accelerating the integration and commercial launch of domain-specific models.
• Structure enterprise billing models and coordinate with Cloud Go-to-Market (GTM) teams to secure external case studies and drive repeatable enterprise adoption.
• Forge highly effective joint roadmaps and operational interfaces with research and core platform engineering teams to rapidly commercialize breakthrough capabilities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .