Model Product Manager, Gemini for Enterprise

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.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• Experience with drivers of quality across the agent system (e.g., model, harness, data, deployment environments).
• Experience in building and deploying AI agents in a regulated sector such as financial services, healthcare, insurance, human resources.

• Experienced in building and deploying AI agents for medium-to-large businesses and enterprises.
• Familiar with building evaluations for Large Language Models (LLMs) and agents.
• Ability to quickly understand customer needs in new domains, and form and test hypotheses on technical solutions and evaluations to improve model/agent outcomes to meet needs.

As a Product Manager for Gemini for Enterprise Verticals, you will drive the strategy to make Gemini models the market leader across key industries. You will serve as the crucial link between our enterprise customers and AI research teams, deeply understanding customer needs and translating them into a model improvement strategy and roadmap that delivers real-world value. This role requires a unique blend of technical AI expertise, strategic thinking, and a relentless focus on the customer experience.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

• Become a trusted advisor to our customers, deeply understanding their challenges and opportunities to inform the product strategy for improving our models and agentic capabilities.
• Translate customer insights into a compelling product vision and a concrete roadmap, partnering with research and engineering teams to execute and iterate.
• Guide critical technical decisions on model architecture, training, and evaluation frameworks, always with the customer's end goal in mind.
• Engage directly with customers to drive adoption and gather feedback, ensuring our models are not just technically excellent, but also solve real-world problems.
• Convert ambiguity and complex problems into clear, actionable plans for the team.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.