Director, Enterprise Cloud AI & Science Products

Google

New York (NY)

On-site

USD 281,000 - 391,000

Full time

12 days ago
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Job summary

Google is seeking a Director of Product Management for Cloud AI and Science in the United States. You will lead strategic product development and commercialization bridging enterprise AI platforms with DeepMind research, directing long-running AI agents for scientific discovery and scalable domain-specific models on Google Cloud.

You will own end-to-end product pillars, balancing technical depth with business strategy, pricing, and value-packaging for enterprise customers.

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, AI, LLMs, or advanced scientific computing.

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.

Skills

Product management
Team leadership
Machine learning
Enterprise SaaS

Education

Master's degree / PhD in quantitative field

Job description

Google is seeking a Director of Product Management for Cloud AI and Science in the United States. You will lead strategic product development and commercialization bridging enterprise AI platforms with DeepMind research, directing long-running AI agents for scientific discovery and scalable domain-specific models on Google Cloud.

You will own end-to-end product pillars, balancing technical depth with business strategy, pricing, and value-packaging for enterprise customers.

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