Product Manager, AI Quality

Details

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.

About the Role

As Glean’s PM for Glean Model Hub, you will evaluate LLM models, define the roadmap for growing Glean’s LLM portfolio, manage relationships with inference and model providers, and determine product strategy for allowing customers to experiment with different LLMs. You will own projections of LLM usage, cost, and capacity planning while driving customer enablement and their upgrade adoption journey for the latest LLMs and LLM-native capabilities.

Responsibilities

• Spend time with customers to deeply understand their knowledge needs.
• Develop key parts of the product roadmap, marrying customers’ needs with product vision.
• Empower the team by giving context, setting direction, and building alignment.
• Drive customer-focused decisions, clear prioritization, and efficient execution.
• Coordinate cross-functionally with leadership, go-to-market teams, and other stakeholders across the company.
• Build processes that will scale as the team and company grow.
• Evaluate LLM models and manage relationships with inference and model providers.
• Own projections of LLM usage, cost, and capacity planning; enable customers to experiment with different LLMs.

Requirements

• 4+ years of experience in product management at SaaS companies, primarily serving large enterprises with responsibilities spanning AI/ML Ops and external-facing platform capabilities.
• Strong technical background and experience with both UX and API-driven products and 3rd party product partnerships.
• Experience building or working with LLMs for at-scale products is a major plus.
• Excellent written and verbal communication skills.
• Proven track record of taking ownership, initiative, and delivering results.
• Effective collaborator with cross-functional partners; learning and growth mindset; mission-first orientation.
• Early adopter in building with or adopting AI for product craft and excited to help customers accelerate AI adoption.

Location

This role is hybrid (4 days a week in one of our Mountain View office). Mountain View, California, United States.

Compensation & Benefits

The standard base salary range for this position is $160,000 - $240,000 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 Medical, Vision, and Dental coverage, generous time-off policy, the opportunity to contribute to your 401(k) plan, a home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches.

AI-First Mindset at Glean

AI fluency is core to how Glean works. As part of the interview process, candidates complete a brief AI-focused exercise or discussion to demonstrate how they think about, design, and use AI to drive impact in their role.

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, GDPR, CCPA, or other privacy laws may regulate how applicant data is managed. The full notice is available in Glean's Privacy Policy. By submitting an application, candidates agree to the use and processing of their data as required. US applicants are subject to arbitration of disputes as outlined in the Applicant Arbitration Agreement.