Senior Technical Program Manager, Infrastructure

Details

About Glean

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business—without vendor lock-in or costly implementation cycles.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities—AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.

Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact.

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more—deeply embedded where people get things done.

About the Role

Glean is seeking a Senior Infrastructure Technical Program Manager (TPM) to lead large-scale, cross-functional initiatives that define, scale, and optimize our infrastructure platform.

This role sits at the intersection of infrastructure engineering, reliability, cost efficiency, and AI systems, driving programs that ensure Glean’s platform remains performant, scalable, and resilient as we continue to grow.

You’ll partner closely with Infra, AI/ML, and Platform Engineering teams to design orchestration systems, streamline deployments, and build the foundations that power our search and AI capabilities.

You’ll play a central role in:

• Driving the company’s Infrastructure roadmap across Setup & Deployment, Runtime, Storage, and AI Infra.
• Leading cross-functional programs that improve scalability, reliability, cost efficiency, and developer velocity.
• Defining and orchestrating how Glean instances are deployed, upgraded, and monitored at scale.
• Partnering with AI and Data teams to evolve our ML pipelines, model training infrastructure, and LLM serving stack.
• Leading initiatives to improve observability, configuration management, and resource utilization.
• Coordinating capacity planning, infrastructure migrations, and performance optimization programs.
• Building clear visibility into infra cost drivers and partnering with finance and engineering leaders on optimization initiatives.

You will

• Lead end-to-end infra programs spanning compute, networking, storage, orchestration, and AI workloads.
• Partner with Engineering to define standards for environment provisioning, deployment automation, and configuration governance.
• Develop and operationalize frameworks for runtime health, scaling, and disaster recovery.
• Drive consistency and automation across deployment orchestration systems.
• Establish clear metrics for reliability, performance, and cost efficiency.
• Coordinate cross-team delivery of high-impact programs such as data pipeline scalability, LLM infrastructure expansion, or infra observability improvements.
• Communicate program status and technical risks effectively to leadership and stakeholders.
• Continuously identify process or system bottlenecks, and drive automation to improve speed and reliability of infra operations.

About you

• BS/MS in Computer Science, Engineering, or a related technical field.
• 8-10+ years of experience 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 where scalability, uptime, and performance are critical.
• Experience working closely with Infra, SRE, and ML/AI teams on distributed systems or data infrastructure.
• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) including compute, networking, storage, and orchestration systems.
• Understanding of data pipelines, ML training workflows, and LLM runtime infrastructure is a plus.
• Ability to structure complex multi-quarter infrastructure programs with clear milestones and measurable impact.
• Strong written and verbal communication and ability to manage through ambiguity, anticipate scaling challenges, and align teams across priorities.
• Builder mindset with focus on automation, reliability, and efficiency.

Location

This role is hybrid (4 days a week in our Mountain View office).

Compensation & Benefits

The standard base salary range for this position is $198,000 - $235,500 annually.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

The company offers a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends. The posting also mentions regular events and healthy lunches daily.

AI-First Mindset at Glean

AI fluency is core to how they work. As part of the interview process, you’ll complete a brief AI-focused exercise or discussion so they can understand how you think about, design, and use AI to drive impact in your role. Prior Glean experience isn’t required.

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