We9re looking for a
Staff FinOps Analyst, Enterprise AI to join the Enterprise AI Center of Excellence. You9ll make Procore9s AI spend visible, predictable, and tied to value. AI spend is consumption-based and grows with adoption, so it needs active management. You9ll own how we track it, forecast it, allocate it, and turn it into insights leaders can act on, starting with Claude and expanding to other AI spend across the company.
You9ll focus on strategy and insights rather than building pipelines. You9ll partner with Technology Operations and Data Engineering, which own the data models and delivers the dashboards, so you can focus on what the numbers mean and what to do about them. You9ll also work closely with the Principal Product Manager, Enterprise AI, who owns portfolio decisions, and with Finance, Procurement, Enterprise IT, and business leaders.
We9d love for this role to be based in our Austin, Texas office, and we9re also open to great candidates anywhere in the U.S. It reports to the Senior Director, Technology Transformation & Enterprise AI.
What you9ll do- Own the full picture of AI spend. Build and maintain one source of truth for everything Procore spends on AI: seat licenses, model and API usage, cloud AI services like AWS Bedrock and Google Vertex AI, usage-based AI inside platforms like Snowflake and Databricks, AI add-ons and credits in SaaS contracts, and the agents we build and run, whether internally or through vendors that charge per agent or per action.
- Build the AI FinOps framework. Define how Procore manages AI spend: the metrics, the definitions, the guardrails, and the monthly operating rhythm.
- Turn spend into insight. Find what9s driving spend, where it9s growing, what9s delivering value, and where it9s wasted, and brief leaders and Finance on what it means.
- Forecast and plan. Build spend forecasts by business unit and scenario models for planning cycles, new rollouts, and pricing changes.
- Build business cases. Build cost models and TCO for new AI tools and major rollouts, as an input to the Principal Product Manager9s portfolio decisions.
- Monitor spend and explain variance. Watch for spend anomalies, set alert thresholds that Enterprise IT implements, and explain variance to budget each month.
- Build allocation and chargeback reporting. Each month, map AI spend to business units and cost centers, and give FP&A and Accounting the usage data they need to reconcile vendor invoices, run chargeback, and book it.
- Recommend optimizations. Recommend changes to access tiers, spend caps, model mix, idle seats, and overlapping tools that cut waste without slowing teams down.
- Measure unit economics and value. Track cost per active user, per use case, per agent run, and per outcome, and partner with the Principal Product Manager, who defines how value is measured for each use case, to measure time to value and productivity gained.
- Inform vendor and renewal strategy. Analyze actual usage against commitments, compare pricing models, and bring the numbers to renewals and negotiations.
- Own the reporting requirements. Define what AI spend dashboards show, for whom, and how often, and partner with Technology Operations to deliver them.
What this role doesn9t ownThis role doesn9t make budget decisions, set or run chargeback (FP&A), book entries (Accounting), configure caps and limits in the platform (Enterprise IT), build data pipelines (Data Engineering), or lead vendor negotiations (Procurement and the business owner). Costs of AI features in Procore9s customer-facing products are also out of scope. This role has visibility into AI spend so the company-wide view is complete, but Agentic Foundation owns P&T9s AI spend reporting and optimization decisions.
What we9re looking for- 6+ years in FinOps, IT finance, cloud cost management, or FP&A for technology spend
- Experience managing consumption-based spend, such as cloud, data platforms, or AI
- Strong SQL and Tableau or similar BI skills: comfortable pulling, checking, and exploring data yourself, even though Technology Operations owns the pipelines and dashboards
- Experience building forecasts, scenario models, and cost allocation or chargeback processes
- Clear communication with executives and Finance, and the ability to turn complex numbers into simple recommendations
- Experience partnering across finance, engineering, data, procurement, and business teams
- Comfortable operating in ambiguity and building structure where none currently exists
- Bonus: FinOps Certified Practitioner or FinOps for AI certification, familiarity with AI token pricing and usage models, or experience with cost tools for Snowflake, Databricks, or AWS
Additional InformationBase Pay Range:129,600.00 - 178,200.00 USD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate9s job-related skills, experience, education or training, and location.
