Product Finance Analyst

The Role Glean is at an inflection point where product decisions carry real P&L consequences from AI infrastructure costs to consumption-based pricing models. We're looking for a highly analytical and strategic Product Finance Analyst to partner closely with Product, Engineering, GTM, and Leadership teams. This role will help drive investment decisions, pricing and monetization strategy, unit economics analysis, and long-range planning for Glean's rapidly growing AI and product offerings. You will play a key role in translating product strategy into financial insights and helping leadership make data-driven decisions on where and how to scale the business.

What You'll Do Partner with Product and Engineering leaders to evaluate product investments, roadmap prioritization, and resource allocation Build and maintain financial models for new products, AI usage economics, and infrastructure cost forecasting Analyze product-level revenue performance, customer adoption trends, and margin drivers Support pricing, packaging, and monetization analyses across SaaS and AI consumption-based offerings Develop dashboards and KPI reporting for leadership reviews and operating cadences Partner with GTM and Revenue Operations teams on customer profitability and expansion analyses Drive annual planning, forecasting, and long-range strategic planning Build cost-per-query models for LLM and cloud infrastructure spend and surface actionable optimization opportunities Improve financial processes, reporting automation, and decision-making frameworks

What We're Looking For 3–5 years of experience in FP&A, strategic finance, investment banking, consulting, or product finance at a high-growth technology company Strong financial modeling and analytical skills Experience working cross-functionally with Product and Engineering organizations Understanding of SaaS business models and cloud/software infrastructure economics Familiarity with AI/LLM cost structures, usage-based pricing, or cloud infrastructure economics is a plus AI-first mindset — actively uses AI tools (e.g., Glean, ChatGPT, Cursor) to automate analyses, draft models, and accelerate research workflows, not just basic awareness Strong SQL and BigQuery skills; experience with BI tools or financial planning systems is preferred Strong communication and stakeholder management skills Ability to thrive in a fast-paced and ambiguous environment

Nice to Have Experience supporting product-led growth (PLG) or AI-native products Knowledge of consumption-based revenue models and overage mechanics Prior exposure to cloud cost allocation (GCP, AWS, Azure) or FinOps practices Exposure to SQL and basic scripting to analyze large datasets and support data-driven decision making. Startup or high-growth SaaS experience where you've owned end-to-end financial modeling with limited guidance Location: This role is hybrid (4 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.

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