or apply directly on Glean's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 87 days Glean's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 76% of Glean's roles list one
- Ghost-job risk at Glean
- high 116 stale, 1 reposted of 116 open
- Hiring momentum
- 156 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from Glean's own greenhouse board since 2026-08-03. Full hiring picture for Glean.
About this role
As a Product Finance Analyst at Glean, you will work closely with Product, Engineering, and leadership teams to drive financial insights that influence product investment decisions and pricing strategies. Your responsibilities will include building financial models, analyzing revenue performance, and supporting long-range planning for Glean's AI offerings. You will also develop dashboards for leadership reviews and improve financial processes to enhance decision-making.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Glean as an employer.
What you 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 to automate analyses and accelerate research workflows
- Strong SQL and BigQuery skills
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
- Startup or high-growth SaaS experience where you've owned end-to-end financial modeling with limited guidance
Worth weighing
- No specific salary or benefits details provided
- Role is hybrid with 4 days a week in the office, which may impact work-life balance
- The company emphasizes an AI-first mindset, which may require continuous learning and adaptation to new tools
Summarised from Glean's posting. Read the full original.
Listed by Glean on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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