Product Finance Analyst

FinOps Weekly; India; Hybrid; INR 1,400,000 - 2,400,000; Full time

Benefits offered by this job

Variable compensation

Equity option

Job summary

Glean is hiring a Product Finance Analyst to support product decisions with financial impact, including AI infrastructure costs and consumption-based pricing. You will work closely with Product, Engineering, GTM, Revenue Operations, and Leadership to turn product strategy into financial insight.

This hybrid role is based in Bangalore, four days per week in the office, and focuses on prioritizing roadmap investments, understanding revenue and margin drivers, and improving forecasting and

Qualifications

• 3–5 years of 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 teams.
• Understanding of SaaS business models and cloud/software infrastructure economics.
• Strong SQL and BigQuery skills.
• Strong communication and stakeholder management skills.
• Ability to work effectively in a fast-paced, ambiguous environment.
• An AI-first mindset, including active use of AI tools to automate analysis, draft models, and speed up research.

Responsibilities

• Partner with Product and Engineering leaders on investment decisions, roadmap prioritization, and resource allocation.
• Build and maintain 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 analysis for SaaS and AI consumption-based offerings.
• Develop dashboards and KPI reporting for leadership reviews and operating cadences.
• Work with GTM and Revenue Operations on customer profitability and expansion analysis.
• Lead annual planning, forecasting, and long-range planning.
• Build cost-per-query models for LLM and cloud infrastructure spend and identify optimization opportunities.
• Improve financial processes, reporting automation, and decision‑making frameworks.

Skills

FP&A experience

Financial modeling

Cross-functional collaboration

SaaS business models

SQL

BigQuery

Communication

AI tooling

Tools

SQL

BigQuery

Job description

About the Role

Glean is hiring a Product Finance Analyst to support product decisions that have direct financial impact, including AI infrastructure costs and consumption-based pricing. The role exists to bring structure and analysis to investment decisions, pricing and monetization, unit economics, and long-range planning as the business scales its AI and product offerings. You will work closely with Product, Engineering, GTM, Revenue Operations, and Leadership to turn product strategy into financial insight. The role is focused on helping teams prioritize roadmap investments, understand revenue and margin drivers, and improve forecasting and decision‑making. This is a hybrid position based in Bangalore, with four days per week in the office.

Key Responsibilities

• Partner with Product and Engineering leaders on investment decisions, roadmap prioritization, and resource allocation.
• Build and maintain 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 analysis for SaaS and AI consumption-based offerings.
• Develop dashboards and KPI reporting for leadership reviews and operating cadences.
• Work with GTM and Revenue Operations on customer profitability and expansion analysis.
• Lead annual planning, forecasting, and long-range planning.
• Build cost-per-query models for LLM and cloud infrastructure spend and identify optimization opportunities.
• Improve financial processes, reporting automation, and decision‑making frameworks.

Required Skills

• 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 teams.
• Understanding of SaaS business models and cloud/software infrastructure economics.
• Strong SQL and BigQuery skills.
• Strong communication and stakeholder management skills.
• Ability to work effectively in a fast‑paced, ambiguous environment.
• An AI‑first mindset, including active use of AI tools to automate analysis, draft models, and speed up research.

Preferred Skills

• 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 or FinOps practices across GCP, AWS, or Azure.
• Additional SQL familiarity and basic scripting for large‑dataset analysis and data‑driven decision making.
• Startup or high‑growth SaaS experience with end‑to‑end financial modeling ownership.

Cloud Platforms & Technologies

Cloud Providers

• GCP
• AWS
• Azure

Data & Analytics

• SQL
• BigQuery

AI / Automation Tools

• Glean
• ChatGPT
• Cursor
• LLMs

Reporting & Planning Tools

• BI tools
• Financial planning systems

FinOps Responsibilities

• Build cost‑per‑query models for LLM and cloud infrastructure spend.
• Forecast AI usage and infrastructure costs.
• Identify opportunities to optimize cloud and model‑related spend.
• Support pricing and monetization analysis for consumption‑based offerings.
• Contribute to customer profitability analysis and unit economics work.

Benefits

• Variable compensation may be available depending on role and level.
• Equity may be available depending on role and level.

Why You Might Be Interested

This role sits at the intersection of product strategy, financial planning, and AI economics. It offers direct involvement in pricing, monetization, unit economics, and infrastructure cost decisions that shape business performance. You will work across Product, Engineering, GTM, and Leadership, with your analysis informing key growth decisions. The position also places a strong emphasis on AI‑enabled workflows and modern analytical tooling.