Director, Product Management, Cloud AI and Science

Director, Product Management, Cloud AI and Science

Director, Product Management, Cloud AI and Science

Locations:
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 Deep Mind) 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 Deep Mind (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 Deep Mind 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