Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 4
Communication @ 6
LLM @ 4
Machine Learning
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Glean is seeking a Senior Technical Program Manager to lead complex, cross-functional initiatives that shape how its enterprise AI product evolves, scales, and delivers value to customers. The role sits at the intersection of product, engineering, design, and go-to-market, driving roadmap execution, multi-quarter program delivery, technical excellence, customer empathy, and cross-functional alignment in a fast-paced SaaS environment.
Glean is a Work AI platform offering enterprise search, an AI Assistant, scalable AI agents, more than 100 enterprise SaaS connectors, flexible LLM selection, robust APIs, and Enterprise and Personal Knowledge Graphs.
Responsibilities
- Lead end-to-end product development programs spanning ideation, design, engineering, and launch.
- Build and maintain program plans with clear scope, timelines, ownership, progress, blockers, and outcomes.
- Drive execution excellence for cross-functional initiatives while balancing speed and quality.
- Lead execution of the company’s product roadmap, aligning product vision, engineering delivery, and customer outcomes.
- Structure and manage programs for major product launches, platform enhancements, and customer-facing capabilities.
- Partner with Product Managers and Engineering to define requirements, success metrics, and launch criteria.
- Collaborate with Product, Design, Engineering, Go-to-Market, and Customer Success teams to align priorities, support product rollouts, and drive customer adoption.
- Identify and mitigate delivery risks, tradeoffs, and cross-team dependencies.
- Establish visibility into execution health using metrics such as velocity, quality, and adoption impact.
- Improve planning, tracking, predictability, and accountability across cross-functional programs.
- Drive operational excellence through consistent program cadences, postmortems, and lessons learned.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field.
- 8–10+ years of technical program management experience, with a proven 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 the 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, including the ability to translate between technical and business contexts.
- Demonstrated ability to manage ambiguity, anticipate risks, and build alignment across diverse teams.
- Proactive, collaborative builder mindset focused on enabling teams to deliver their best work.
Location and Work Policy
- Hybrid role requiring four days per week in the Mountain View office.
Compensation and Benefits
- Standard base salary range: $198,000–$235,500 annually.
- Certain roles may be eligible for variable compensation, equity, and benefits.
- Medical, vision, and dental coverage.
- Generous time-off policy.
- 401(k) plan contributions.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
- An AI-focused exercise or discussion is included in the interview process.
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