Technical Program Manager, AI & Cloud Efficiency

Glean Work is hiring a Technical Program Manager, AI & Cloud Efficiency in Bengaluru, India. Level rates it ; you can apply on Glean Work.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AI agents, program management and cloud efficiency among its tools and skills.
Level classes it as a mid-level role.
Glean Work has 129 other open roles on Level.

AI in this role

Drive technical program management for AI initiatives and cloud efficiency projects at an enterprise AI company.

ai-agentsprogram-managementcloud-efficiencyai-infrastructure

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. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for a Technical Program Manager, AI & Cloud Efficiency to provide end-to-end oversight of these initiatives: maintain the portfolio, set priorities, drive the operating cadence, unblock owners, and ensure savings land. Glean delivers AI at enterprise scale across a deliberately open, provider-neutral stack. This breadth necessitates numerous efficiency initiatives running in parallel across engineering — token yield, compute right-sizing, LLM Gateway quotas, provider commitments to name a few. You will:

Drive Cloud and AI/LLM efficiency
Own a single, prioritised source of truth for all cost initiatives and drive them to measurable efficiency and margin gains.
Pressure-test savings claims: verify realised vs. projected savings post-launch, and prevent silent cost regressions from eroding prior wins
Build cost-attribution discipline: per-service, per-team, per-customer, per-feature tagging and allocation so every dollar has an owner
Oversee LLM spend across providers: procurement and commitment sizing
Govern internal AI tooling spend with per-user visibility, quotas, and value assessment
Build the observability & automation layer
Treat cost like production telemetry: real-time cost attribution, anomaly detection, alerting, and automated triage
Automate the toil: cost-triage agents, regression detection, and self-serve attribution so the program scales

About you:

Deep, hands-on understanding of cloud infrastructure and AI/LLM economics
Proficient in driving efficiency, capacity, or FinOps-adjacent programs
Eng operations instincts: you think in SLOs, error budgets, telemetry, and postmortems, and you apply that discipline to spend
Strong SQL and data skills; you can query BigQuery, build a Sigma workbook, and model a scenario

Location:

This role is hybrid (3 days a week in our Bangalore office)

Compensation & Benefits:

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 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.

#LI-HYBRID AI-First Mindset at Glean: 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.

How we rate this

Technical Program Manager, AI & Cloud Efficiency at Glean Work rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Technical Program Manager, AI & Cloud Efficiency is an open job at Glean Work.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Bangalore, India.
The job was posted on August 14, 2026.
Seniority: mid.
Applications are handled by Glean Work. Apply on Glean Work

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsProgram ManagementCloud EfficiencyAI Infrastructure

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where program management was part of your work. What did you do?
Tell me about a project where cloud efficiency was part of your work. What did you do?
Tell me about a project where ai infrastructure was part of your work. What did you do?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: AI agents, Program Management, Cloud Efficiency, and AI Infrastructure. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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