Senior Infrastructure Technical Program Manager (TPM) – Infrastructure Platform

Glean; Mountain View (CA); Hybrid; USD 198,000 - 236,000; Full time

Job summary

Glean in Mountain View, CA, seeks a Senior Technical Program Manager for Infrastructure to lead large-scale cross-functional initiatives that define, scale, and optimize the infrastructure platform.

You will collaborate with Infra, AI/ML, and Platform Engineering teams to ensure performance, scalability, and resilience as we grow, focusing on cloud environments (AWS, GCP, Azure) and cost-aware delivery.

Qualifications

• BS/MS in Computer Science, Engineering, or related technical field.
• 8–10+ years in technical program management, infrastructure, or SRE, with 3–5 years managing infra or platform-scale programs.
• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and ability to structure multi-quarter infra programs.
• Excellent written and verbal communication; ability to manage through ambiguity.

Responsibilities

• Lead end-to-end infrastructure programs spanning compute, networking, storage, orchestration, and AI workloads.
• Guide the Infrastructure roadmap across Setup & Deployment, Runtime, Storage, and AI Infrastructure.
• Define and coordinate how Glean instances are deployed, upgraded, and monitored at scale.
• Partner with AI and Data teams to evolve ML pipelines, model training infrastructure, and the LLM serving stack.
• Build visibility into infrastructure cost drivers and partner with finance and engineering leaders on optimization initiatives.

Skills

Cloud infrastructure knowledge

Cross-functional leadership

Program management

SRE practices

Education

BS in Computer Science

MS in Computer Science

Job description

Senior Technical Program Manager, Infrastructure | Glean

The Tone:

This is a full-time role at Glean, located in Mountain View, CA. Glean builds the Work AI platform, which began as enterprise search and has evolved into a full-scale AI ecosystem powering intelligent Search, an AI Assistant, and scalable AI agents. This role is crucial for leading large-scale, cross‑functional initiatives that define, scale, and optimize Glean’s infrastructure platform, ensuring it remains performant, scalable, and resilient as the company continues its rapid growth.

The TL;DR

• Role: Full Time
• Type: Full‑time
• Location: Hybrid, Mountain View, CA
• Pay: $198000–$235500 yearly
• Team: Partners with Infra, AI/ML, and Platform Engineering teams
• Mission: Ensure Glean’s infrastructure platform remains performant, scalable, and resilient as the company grows.
• Tech Stack: AWS, GCP, Azure

What You’ll Actually Do

• Lead: Drive end-to-end infrastructure programs spanning compute, networking, storage, orchestration, and AI workloads.
• Strategize: Guide the company’s Infrastructure roadmap across Setup & Deployment, Runtime, Storage, and AI Infrastructure.
• Orchestrate: Define and coordinate how Glean instances are deployed, upgraded, and monitored at scale.
• Collaborate: Partner with AI and Data teams to evolve ML pipelines, model training infrastructure, and the LLM serving stack.
• Optimize: Build clear visibility into infrastructure cost drivers and partner with finance and engineering leaders on optimization initiatives.

The Must-Haves

• Background: BS/MS in Computer Science, Engineering, or a related technical field; Senior‑level technical program management, infrastructure, or SRE.
• Experience: 8-10+ years in technical program management, infrastructure, or SRE, with at least 3-5 years managing infra or platform‑scale programs; proven success delivering cross‑functional infrastructure programs in B2B or enterprise environments.
• Skills: Strong understanding of cloud infrastructure (AWS, GCP, or Azure) including compute, networking, storage, and orchestration systems; ability to structure complex multi‑quarter infrastructure programs with clear milestones; strong written and verbal communication and ability to manage through ambiguity.
• Bonus: Understanding of data pipelines, ML training workflows, and LLM runtime infrastructure.