The Role
Lead and prioritize enterprise cost-efficiency initiatives across cloud and LLM providers. Build cost-attribution, observability, and automation to verify savings, detect regressions, and govern AI tooling spend. Partner with engineering, SRE, and procurement to drive measurable margin gains and scale cost-triage automation.
Summary Generated by Built In
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 enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
Glean is looking for a Cost Operations Lead 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:
- 8+ years in infrastructure, SRE, developer productivity, or platform engineering, including 3+ years leading cross-team programs or teams
- 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.
Skills Required
- 8+ years in infrastructure, SRE, developer productivity, or platform engineering, including 3+ years leading cross-team programs or teams
- Deep, hands-on understanding of cloud infrastructure and AI/LLM economics
- Proven experience driving efficiency, capacity, or FinOps-adjacent programs
- Operational engineering instincts: SLOs, error budgets, telemetry, and postmortems applied to spend
- Strong SQL and data skills; ability to query BigQuery, build a Sigma workbook, and model scenarios
Glean Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Glean and has not been reviewed or approved by Glean.
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Healthcare Strength — Healthcare coverage includes employer-provided medical, dental, and vision across U.S. roles. Descriptions of benefits and third‑party listings characterize core health offerings as solid.
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Equity Value & Accessibility — Equity is widely offered via stock options and highlighted as a core part of total rewards. Engineering packages are portrayed as particularly competitive when equity value is considered.
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Leave & Time Off Breadth — Time off includes flexible PTO and a company‑wide winter break. Parental leave is described as generous in public listings, though specifics are not consistently published.
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The Company
What We Do
Glean searches across all your company’s apps to help you find exactly what you need and discover the things you should know. 🔍 AI-powered workplace search. 💡 Personalized results and knowledge discovery. ⚡ Easy to use, ready to go— right out of the box.
