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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Infrastructure - **Company:** Greenhouse Software, Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $198,000.0 - $235,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Configuration Management, Data Infrastructure, Disaster Recovery, Distributed Systems, Machine Learning, Performance Tuning, Large Language Models, Information Technology, Deployment Automation, Machine Learning Operations, Data Pipelines - **Published:** August 18, 2026 - **Apply:** https://job-boards.greenhouse.io/gleanwork/jobs/4694770005 ## About the Role * 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. ## Description 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., At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Optimizing your AI/ML workloads for sustainability](https://www.wearedevelopers.com/videos/570-optimizing-your-ai-ml-workloads-for-sustainability) ## Related Articles - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)