Director, Product Management, Cloud AI and Science

Director, Product Management, Cloud AI and Science

X 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 .

• 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

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.