Senior Product Manager, Gemini Enterprise at Google, San Francisco, CA
Senior Product Manager, Gemini Enterprise at Google in San Francisco, CA. $192,000 to $278,000 a year. Apply with swipeandhired.
- Define the product strategy and roadmap for Gemini connectors, enabling agents to reliably find answers, take trusted actions, and run multi-system workflows. Develop delightful connector user experiences in Gemini across discovery, enablement, management, invocation, and action approvals.
- Establish an operating model for connector quality and reliability, measuring evaluations and online metrics, prioritizing challenges, and leading a rigorous hillclimbing process.
- Scale connector breadth through partner-provided MCP connectors across marketplace submission, safety review, and performance evaluation. Prioritize new connectors based on enterprise demand, competitive coverage, and industry needs.
- Make and defend hard tradeoffs across quality, reliability, and new capabilities. Partner cross-functionally to triage customer feedback and ensure connectors meet enterprise security, privacy, and compliance standards.
Minimum qualifications:
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 8 years of experience in product management or a related technical role.
- 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
- Experience with generative AI, generative AI agents, natural language processing, and large language models.
Preferred qualifications:
- Experience building third-party integrations, Cloud APIs, and Model Context Protocol (MCP) connectors for enterprise ecosystems.
- Experience driving search quality, grounding, and evaluation frameworks for Large Language Models (LLMs) and Generative AI agents.
- Experience designing enterprise admin controls, governance, and security standards for cloud applications.
- Ability to define product strategy, prioritize across customer needs, and lead cross-functional execution in fast-paced environments.
Gemini brings the best of Google AI to businesses. Our goal is enabling every employee and every workflow to benefit from AI. The Gemini Contextual Intelligence team provides personalization to the agent harness, so AI agents can complete meaningful work using personal and business context. This is delivered through connectors to third-party systems, memories that improve the experience over time, and skills and plugins that allow for direct customization for every user and business.
We are seeking a technical Product Manager for Gemini connectors: the integrations that give Gemini the context and actions needed to complete knowledge work across third-party systems. You will define the connector strategy and roadmap, enabling Gemini to reliably find answers, take trusted actions, and run multi-system workflows. You will define quality measurement and develop an operating model that delivers connector quality and reliability, using evals and metrics to improve quality week over week.
You will work across the connector experience in Gemini, from discovery and enablement to invocation and action approvals, and help build the admin controls enterprises need to turn connectors on across their organizations. You will help grow connector breadth through partner-provided MCP connectors and a marketplace onboarding process, and prioritize new connectors based on customer demand and competitive coverage.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; New York, NY, USA; Sunnyvale, CA, USA.
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 8 years of experience in product management or a related technical role.
- 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
- Experience with generative AI, generative AI agents, natural language processing, and large language models.