Product Manager, AI Quality

Glean•Mountain View, CA

17d•$160,000 - $240,000•Hybrid

About The Position

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. The role involves spending significant time with customers to understand their knowledge needs, developing product roadmap priorities that align customer needs with the product vision, and empowering the team through context, direction, and alignment. You will drive customer-focused decisions, prioritization, and execution; coordinate with leadership, go-to-market teams, and other stakeholders; and build processes that scale with company growth. The position is hybrid, with four days a week in Glean’s Mountain View office.

Requirements

At least 4 years of product management experience at SaaS companies, primarily serving large enterprises, with responsibilities spanning AI/ML Ops and external-facing platform capabilities.
Strong technical background.
Experience with both UX- and API-driven products and third-party product partnerships.
Excellent written and verbal communication skills.
Proven ability to take ownership and initiative and deliver results.
Ability to collaborate effectively with cross-functional partners.
Learning and growth mindset.
Mission-first outlook, with an understanding that success is measured by the product and team’s success.
Early adopter of building with or adopting AI in their own product craft, and excitement about helping customers accelerate AI adoption.

Nice To Haves

Having built or worked with LLMs for at-scale products.

Responsibilities

Evaluate LLM models and define the roadmap for growing Glean’s LLM portfolio.
Manage relationships with inference and model providers.
Determine product strategy for enabling customers to experiment with different LLMs.
Own projections of LLM usage, costs, and capacity planning.
Drive customer enablement and adoption of the latest LLMs and LLM-native capabilities.
Spend time with customers to understand their knowledge needs.
Develop product roadmap priorities that marry customer needs with the product vision.
Empower the team by providing context, setting direction, and building alignment.
Drive customer-focused decisions, prioritization, and efficient execution.
Coordinate cross-functionally with leadership, go-to-market teams, and other stakeholders.
Build processes that scale as the team and company grow.