Senior Product Manager, Gemini Enterprise
- Sunnyvale, California
- Onsite
- full time
- $192k–$278k/year
- Posted today
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About the role
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.
ABOUT THE JOB:
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
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* 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.
Skills
- Product Management
- Generative AI
- Large Language Models
- Natural Language Processing
- Cloud APIs
- Model Context Protocol
- Product Strategy
- Cross-functional Leadership
- Data Analytics
- Enterprise Security
- Governance
- Technical Product Launch
- Marketplace Onboarding
- Performance Evaluation
- Stakeholder Management
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