Product Manager, API Platform

Glean Work is hiring a Product Manager, API Platform in Mountain View, United States. It pays $175k-$195k a year and Level rates it ; you can apply on Glean Work.

Level's read on this job

Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
The listed pay starts close to the typical AI product manager posting on Level.
Tools and skills the posting cites include API, Sdk and AI agents.
Level classifies it as a senior role.
Level lists 130 other open roles at Glean Work.

AI in this role

Lead product management for APIs, SDKs, and agent interoperability strategy on Glean's Work AI platform.

apisdk

ai-agentsproduct-managementapissdksdeveloper-relations

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. 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.About the Role: As Glean’s PM on agent interop and partnerships, you will lead the development of Glean's APIs, SDKs and MCP strategy for the developer persona within our customers and our partners. The ideal candidate will have a strong technical background, a deep understanding of developer needs, and a passion for building robust, scalable API and SDK solutions and show an ability to collaborate with some of the premier B2B product companies for our partnership strategy You will:

Own the design and evolution of our public APIs and SDKs, including versioning, deprecation, and the backwards-compatibility promises we make.
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.
Write code. Build the sample apps, run the integrations, and feel the rough edges yourself before a customer does.
Read the docs like a developer who's never seen them, then fix the parts that lie or leave things out.
Dig into support tickets and forum threads for patterns. Treat a recurring question as a design defect, not a documentation gap to paper over.
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.
Lock the API contract and requirements before engineering starts building, and hold the line when someone wants to bolt on scope mid-flight.

About you:

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 have strong product taste for developer interfaces and care about clear abstractions, consistent resource design, and machine-readable errors
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 worked directly with customer and partner developers and know how to translate their needs into better platform products
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
You are excited about AI and motivated by helping customers and partners build more effectively with it

Location:

This role is hybrid (4 days a week in our Mountain View office or San Francisco)

Compensation & Benefits: The standard base salary range for this position is $175,000 - $195,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. 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. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. 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. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: 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. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.

How we rate this

Product Manager, API Platform at Glean Work rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Product Manager, API Platform is an open job at Glean Work.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $175k-$195k a year.
The role is based in Mountain View, CA.
The job was posted on September 4, 2026.
Seniority: senior.
Applications are handled by Glean Work. Apply on Glean Work

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsProduct ManagementAPIsSdksDeveloper RelationsAPISdk

Also common in AI product manager jobs at this level

Generative AI Machine learning AWS SQL Azure RAG

Pay

This job starts at: $175k
Typical AI product manager job: $180k

This posting starts close to the typical AI product manager job. See AI product manager jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where apis was part of your work. What did you do?
Tell me about a project where sdks was part of your work. What did you do?
Tell me about a project where developer relations was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Product Management, APIs, Sdks, and Developer Relations. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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