Senior Technical Program Manager (Infrastructure)

Location: Hybrid, with 4 days per week in the San Francisco office

Salary: $198,000–$235,500 annually, with potential variable compensation, equity, and benefits

Company

Glean provides a Work AI platform combining enterprise search, an AI Assistant, scalable AI agents, SaaS connectors, flexible LLMs, and APIs on a secure platform.

What you will do

• Lead end-to-end infrastructure programs spanning compute, networking, storage, orchestration, and AI workloads.
• Drive the infrastructure roadmap across deployment, runtime, storage, and AI infrastructure.
• Define standards for environment provisioning, deployment automation, configuration governance, runtime health, scaling, and disaster recovery.
• Coordinate data pipeline scalability, LLM infrastructure expansion, infrastructure migrations, capacity planning, and observability improvements.
• Establish metrics for reliability, performance, resource utilization, and cost efficiency.
• Communicate program status, milestones, risks, and technical bottlenecks to leadership and stakeholders while driving automation.

Requirements

• BS/MS in Computer Science, Engineering, or a related technical field.
• 8–10+ years of experience in technical program management, infrastructure, or SRE, including 3–5 years managing infrastructure or platform-scale programs.
• Experience delivering cross-functional infrastructure programs in B2B or enterprise environments where scalability, uptime, and performance are critical.
• Experience working with Infrastructure, SRE, and ML/AI teams on distributed systems or data infrastructure.
• Strong understanding of AWS, GCP, or Azure, including compute, networking, storage, and orchestration systems.
• Ability to structure complex multi-quarter programs, manage ambiguity, align teams, and deliver measurable impact.

Nice to have

• Understanding of data pipelines, ML training workflows, and LLM runtime infrastructure.

Culture & Benefits

• Medical, vision, and dental coverage.
• Generous paid time off and a 401(k) plan.
• Home office improvement, education, and wellness stipends.
• Regular company events and daily healthy lunches.
• Inclusive workplace committed to diverse backgrounds, experiences, and perspectives.

Hiring process

• Complete a brief AI-focused exercise or discussion as part of the interview process.