Product Finance Analyst

Overview

Product Finance Analyst at Glean, partnering with Product, Engineering, GTM and Leadership to drive investment decisions, pricing and monetization strategy, unit economics analysis, and long-range planning for Glean's AI and product offerings.

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 you'll need

• 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

• Familiarity with AI/LLM cost structures, usage-based pricing, or cloud infrastructure economics
• Experience with BI tools or financial planning systems
• 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

Details

• Location: Bangalore, India
• Hybrid: 4 days a week in the Bangalore office
• Compensation determined by location, level, job-related knowledge, skills, and experience; certain roles may be eligible for variable compensation, equity, and benefits