Product Finance Analyst
Glean
Bangalore, IndiaPosted 2 months ago
Skill Required
G&AEngineeringServiceNowanalyticalBigQueryEmbedded CAzuredesignGitCloudAPIsSQLAWSGCPGenerative AIAI
Key highlights
- Hybrid role (4 days/week in Bangalore office)
- 3–5 years of experience required
- Eligible for variable compensation, equity, and benefits
- AI-first mindset and active use of AI tools required
Role overview
Glean is the Work AI platform that helps enterprises work smarter with AI, offering intelligent Search, an AI Assistant, and scalable AI agents on a secure, open platform. The company is redefining how organizations find, use, and act on knowledge through its Enterprise and Personal Knowledge Graphs, delivering personalized, context-aware responses and automating real work across teams. Recognized as one of the world’s most innovative companies, Glean is seeking a highly analytical and strategic Product Finance Analyst to partner with Product, Engineering, GTM, and Leadership teams to drive financial decision-making, modeling, and optimization in a high-growth, AI-native environment.
Responsibilities
- 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
Requirements
- 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
- 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
- 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
- Experience with BI tools or financial planning systems
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
Additional details
- This role is hybrid (4 days a week in our Bangalore office)
- 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.
- 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.
- 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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