Senior Technical Program Manager, Product

Glean Glean · Enterprise · Mountain View, CA · Product

Seeking a Sr. Technical Program Manager to lead complex, cross-functional initiatives for Glean's Work AI platform, focusing on the evolution, scaling, and customer value delivery of AI products including Search, AI Assistant, and AI agents. This role requires a deep technical background in AI/ML systems, LLMs, and agents, with a focus on translating complex capabilities into practical product impact and driving end-to-end product development programs from ideation to launch.

What you'd actually do

  1. Lead end-to-end product development programs, spanning ideation, design, engineering, and launch.
  2. Build and maintain program plans that drive clarity across teams ensuring transparency in scope, timelines, and ownership.
  3. Drive execution excellence for cross-functional initiatives, balancing speed with quality.
  4. Partner with Go-To-Market and Customer Success teams to ensure readiness for product rollouts and customer adoption.
  5. Facilitate communication across Product, Design, and Engineering to align priorities and unblock delivery.

Skills

Required

  • BS/MS in Computer Science, Engineering, or a related technical field.
  • 8-10+ years of experience in technical program management with a proven track record of driving complex product programs from concept to launch in fast-paced SaaS environments.
  • Deep technical background in AI/ML systems, LLMs, and agents, with an ability to translate complex capabilities into practical product impact.
  • Strong understanding of software product development, including API design, data systems, and product integration patterns.
  • Ability to structure multi-quarter product programs with measurable outcomes.
  • Excellent written and verbal communication skills; able to translate between technical and business contexts.
  • Demonstrated ability to manage through ambiguity, anticipate risks, and build alignment across diverse teams.
  • A builder mindset; proactive, collaborative, and focused on enabling teams to deliver their best work.

What the JD emphasized

  • Deep technical background in AI/ML systems, LLMs, and agents
  • ability to translate complex capabilities into practical product impact
  • structure multi-quarter product programs with measurable outcomes
  • manage through ambiguity
  • anticipate risks
  • build alignment across diverse teams

Other signals

  • Work AI platform
  • AI Assistant
  • AI agents
  • LLM choice
  • Enterprise Graph
  • Personal Knowledge Graph
  • agentic capabilities
  • AI-fluent