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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.
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.
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.
