About Glean:

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

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 one of our SF Bay Area offices)

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.

We offer 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 to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.