Gleanwork
Product Manager, API Platform
Mountain View, CA
Sponsorship not specified$190k-$270kDetected 20 days ago
GitLLMsAgentic AIComplianceProduct ManagementZendeskMicrosoft Teams
About the role
- Spec the developer experience end to end: auth, onboarding, first call, error handling, rate limiting, webhooks, and the long tail of edge cases that decide whether someone stays.
- Read the docs like a developer who's never seen them, then fix the parts that lie or leave things out.
- Set and defend the metrics that matter: time-to-first-call, integration success rate, API error rates, and the ones that actually predict whether a developer ships.
Responsibilities
- Own the design and evolution of our public APIs and SDKs, including versioning, deprecation, and the backwards-compatibility promises we make.
- Write code. Build the sample apps, run the integrations, and feel the rough edges yourself before a customer does.
- Dig into support tickets and forum threads for patterns. Treat a recurring question as a design defect, not a documentation gap to paper over.
- We're committed to building and sustaining a diverse, inclusive workplace.
- As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role.
- Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants.
Requirements
- You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
- Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.
- By submitting your application, you are agreeing to our use and processing of your data as required.
Nice to have
- You have 5+ years of product management experience, ideally in platform, developer experience, API, SDK, or partnership-driven products
- You are deeply technical and comfortable working through API contracts, request payloads, logs, telemetry, and implementation tradeoffs with engineers
- You have built or led APIs and SDKs that are robust, scalable, and easy for external developers to adopt
- You know how to think from the developer's point of view and can quickly spot where documentation, workflows, or product behavior become confusing
- You have experience integrating products with third-party enterprise applications and understand what it takes to make those integrations reliable in production
- You write clearly and value concise specs, accurate documentation, and product experiences that tell developers what to do next
- You define success with metrics and can track adoption, usability, and business impact for developer-facing products
Compensation
- Certain roles may be eligible for variable compensation, equity, and benefits.
- We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals.
- When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing.
- The standard base salary range for this position is $190,000 - $270,000 annually.
- Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
Benefits
- Certain roles may be eligible for variable compensation, equity, and benefits.
- When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing.
Company info
- As Glean's PM on API Platform, you will lead the development of Glean's APIs, SDKs and MCP strategy for the developer persona within our customers and our partners.
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This listing is sourced directly from Gleanwork's careers page and normalized into a canonical job model.