Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
Communication @ 6
LLM
Product Management @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Glean is the Work AI platform that provides enterprise search, an AI Assistant, scalable AI agents, over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs. Its Enterprise Graph and Personal Knowledge Graph support personalized, context-aware responses and agentic capabilities across enterprise data.
Responsibilities
- Lead Glean's APIs, SDKs, and MCP strategy for developers at customer and partner organizations.
- Own the design and evolution of public APIs and SDKs, including versioning, deprecation, and backward compatibility.
- Define the developer experience across authentication, onboarding, first API calls, error handling, rate limiting, webhooks, and edge cases.
- Write code, build sample applications, run integrations, and identify product rough edges.
- Review and improve developer documentation and sample applications.
- Analyze support tickets and forum discussions to identify recurring product issues.
- Define and defend metrics including time-to-first-call, integration success rate, API error rates, adoption, usability, and developer activation.
- Finalize API contracts and requirements before engineering implementation and manage scope during development.
- Collaborate with customer and partner developers and with B2B product companies on partnership strategy.
Requirements
- 5+ years of product management experience, ideally with platform, developer experience, API, SDK, or partnership-driven products.
- Deep technical knowledge and comfort working with API contracts, request payloads, logs, telemetry, and implementation tradeoffs.
- Experience building or leading robust, scalable APIs and SDKs for external developers.
- Strong product judgment for developer interfaces, including clear abstractions, consistent resource design, and machine-readable errors.
- Ability to identify confusing documentation, workflows, and product behavior from a developer's perspective.
- Experience working directly with customer and partner developers and translating their needs into platform products.
- Experience integrating products with third-party enterprise applications and making integrations reliable in production.
- Strong written communication skills and an appreciation for concise specifications, accurate documentation, and clear developer experiences.
- Ability to define success metrics and track adoption, usability, and business impact for developer-facing products.
- Interest in AI and helping customers and partners build more effectively with it.
Location
This is a hybrid role requiring four days per week in the Mountain View or San Francisco office.
Compensation & Benefits
- Standard base salary: $175,000–$195,000 annually.
- Certain roles may be eligible for variable compensation, equity, and benefits.
- Medical, vision, and dental coverage.
- Generous time-off policy and 401(k) plan.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches.
- Inclusive and diverse workplace.
- Candidates complete a brief AI-focused exercise or discussion during the interview process.
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