Product Manager, AI Quality

Glean Glean · Enterprise · Mountain View, CA · Product

Product Manager for Glean Model Hub, responsible for evaluating LLM models, defining the roadmap for Glean's LLM portfolio, managing provider relationships, and setting product strategy for customer LLM experimentation. This role involves forecasting LLM usage, costs, and capacity, and driving customer adoption of new LLMs and AI capabilities.

What you'd actually do

  1. Spending a lot of time with our customers to deeply understand their knowledge needs
  2. Developing key parts of our product roadmap, marrying customers’ needs with our product vision
  3. Empowering your team by giving context, setting direction, and building alignment
  4. Driving customer-focused decisions, clear prioritization, and efficient execution
  5. Coordinating cross-functionally with with leadership, go-to-market teams, and other key stakeholders across the company

Skills

Required

  • 4+ years of experience in product management at SaaS companies
  • primarily serving large enterprises
  • strong technical background
  • experience with both UX and API driven products
  • experience with 3rd party product partnerships
  • excellent written and verbal communicator
  • proven track record of taking ownership, taking initiative, and delivering results
  • collaborate effectively with cross-functional partners
  • learning and growth mindset
  • mission-first
  • early adopter in building with or adopting AI for your own product craft
  • excited about helping customers accelerate their own AI adoption journey

Nice to have

  • Having built or worked with LLMs for at-scale products is a major plus

What the JD emphasized

  • AI/ML Ops
  • external-facing platform capabilities
  • built or worked with LLMs for at-scale products
  • technical background
  • UX and API driven products
  • 3rd party product partnerships
  • proven track record of taking ownership
  • taking initiative
  • delivering results
  • AI fluency is core to how we work
  • AI-focused exercise or discussion

Other signals

  • evaluating LLM models
  • roadmap for growing LLM portfolio
  • product strategy for allowing customers to experiment with different LLMs
  • projections of LLM usage, cost, and capacity planning
  • driving customer enablement and their upgrade adoption journey for the latest LLMs and LLM-native capabilities