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 @ 6
API @ 7
Communication @ 6
Go
LLM
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.
Glean is a Work AI platform providing enterprise search, an AI Assistant, scalable AI agents, SaaS connectors, flexible LLM choice, robust APIs, and secure infrastructure for governing and customizing AI across organizations.
Responsibilities
- Lead end-to-end product development programs spanning ideation, design, engineering, and launch.
- Build and maintain program plans with clear scope, timelines, ownership, and execution visibility.
- Drive execution excellence for cross-functional initiatives while balancing speed and quality.
- Partner with Go-To-Market and Customer Success teams to ensure product rollout readiness and customer adoption.
- Facilitate communication across Product, Design, and Engineering to align priorities and unblock delivery.
- Identify and mitigate delivery risks, tradeoffs, and cross-team dependencies.
- Establish execution-health visibility using metrics such as velocity, quality, and adoption impact.
- Continuously improve how cross-functional programs are planned, tracked, and delivered to increase predictability and accountability.
- Drive Product roadmap execution by 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.
- Improve execution rigor through 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 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 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.
- A 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 San Francisco 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) contribution plan.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
Interview Process
Candidates complete a brief AI-focused exercise or discussion covering how they think about, design, and use AI to drive impact. Prior Glean experience is not required.