Glean

Work AI

SeniorTechnicalProgramManager,Infrastructure

$198–236k Mountain View, California, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Technical Program Manager, Infrastructure at Glean. Skills: Infrastructure roadmap, cross-functional programs, scalability, reliability, cost efficiency, developer velocity, deployment orchestration, ML pipelines, LLM serving stack, observability, configuration management, resource utilization, capacity planning, performance optimization, infra cost drivers, optimization initiatives. Lead end-to-end infra programs spanning compute, networking, storage, orchestration, and AI workloads. Par”

Industry & Context.

Work AI
Problems you'll solve

identify process or system bottlenecks; drive automation to improve speed and reliability of infra operations; manage through ambiguity; anticipate scaling challenges

Eligibility Requirements

hybrid (4 days a week in our Mountain View office), AI-focused exercise or discussion as part of the interview process

What They're Looking For.

Must Have

BS/MS in Computer Science, Engineering, or a related technical field, 8-10+ years of experience in technical program management, infrastructure, or SRE, 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, 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 and measurable impact, written and verbal communication, ability to manage through ambiguity, anticipate scaling challenges, align teams across priorities

Nice to Have

Understanding of data pipelines, ML training workflows, and LLM runtime infrastructure is a plus

What You'll Do.

Lead end-to-end infra programs spanning compute

Partner with Engineering to define standards for environment provisioning

deployment automation

and configuration governance

Develop and operationalize frameworks for runtime health

and disaster recovery

Drive consistency and automation across deployment orchestration systems

Establish clear metrics for reliability

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

How You'll Work.

Team & Collaboration

Partner closely with Infra, AI/ML, and Platform Engineering teams; Partner with AI and Data teams; Partner with Engineering; Coordinate cross-team delivery; Communicate program status and technical risks effectively to leadership and stakeholders; align teams across priorities

Communication Scope

written and verbal communication; Communicate program status and technical risks effectively to leadership and stakeholders

Process & Methodology

technical program management, lead large-scale, cross-functional initiatives, driving programs, defining and orchestrating, leading initiatives, coordinating capacity planning, infrastructure migrations, performance optimization programs, Lead end-to-end infra programs, Develop and operationalize frameworks, Coordinate cross-team delivery of high-impact programs, structure complex multi-quarter infrastructure programs with clear milestones and measurable impact

Full Job Description

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. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. 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. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for ente

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