Director, Product Management, Cloud AI and Science

• 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.

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.

• 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.