Product Finance Analyst
Glean Work is hiring a Product Finance Analyst in Bengaluru, India. Level rates it ; you can apply on Glean Work.
Level's read on this job
- On Level's scale, this finance role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include ChatGPT, Cursor and AI agents.
- Level classifies it as a mid-level role.
- Level lists 130 other open roles at Glean Work.
AI in this role
Partner with product and engineering teams to drive investment decisions and pricing for AI infrastructure.
About 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.
How we rate this
Product Finance Analyst at Glean Work rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in finance jobs at this level
Pay
- Typical finance job
- $107k
This posting doesn't list pay. Use the typical finance figure when pay comes up. See finance jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where financial analysis was part of your work. What did you do?
- Tell me about a project where pricing strategy was part of your work. What did you do?
- Tell me about a project where unit economics was part of your work. What did you do?
- Tell me about a project where product finance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Financial Analysis, Pricing Strategy, Unit Economics, and Product Finance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new finance jobs by email
One email a week with the new finance jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Finance roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step