FinOps Analyst, Enterprise AI

Procore is building a new Enterprise AI Center of Excellence within its Enterprise Technology & Business Platforms team, and this role sits at the center of that effort. The purpose of the position is to make AI spend visible, predictable, and clearly connected to business value as adoption grows across the company.

As a Staff Fin Ops Analyst, Enterprise AI, you will focus on strategy, analysis, and decision support rather than data pipeline ownership. You will partner with Technology Operations, Data Engineering, the Principal Product Manager for Enterprise AI, Finance, Procurement, Enterprise IT, and business leaders to define how AI spend is tracked, forecasted, allocated, and explained.

This role reports to the Senior Director, Technology Transformation & Enterprise AI. It is based in Austin, Texas, with openness to strong candidates anywhere in the U.S.

• Own the company-wide view of AI spend, including seat licenses, model and API usage, cloud AI services, SaaS-based AI add-ons and credits, and agent-related spend.
• Define the AI Fin Ops operating model, including metrics, definitions, guardrails, and the monthly review cadence.
• Analyze spend trends, drivers, waste, and value, and translate findings into recommendations for leaders and Finance.
• Build forecasts, scenario models, and planning inputs for business units, rollouts, and pricing changes.
• Develop cost models and total cost of ownership analyses for new AI tools and major deployments.
• Monitor spend anomalies, establish alert thresholds, and explain monthly variance against budget.
• Produce allocation and chargeback reporting by business unit and cost center, and provide usage data to support invoice reconciliation and accounting needs.
• Recommend optimization actions such as changes to access tiers, spend caps, model mix, idle seats, and overlapping tools.
• Track unit economics and value measures such as cost per active user, use case, agent run, and outcome.
• Support vendor and renewal analysis by comparing actual usage to commitments and evaluating pricing models.
• Define reporting requirements for AI spend dashboards and partner with Technology Operations on delivery.

• 6+ years of experience in Fin Ops, 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 skills.
• Experience with Tableau or similar BI tools.
• Ability to build forecasts, scenario models, and cost allocation or chargeback processes.
• Clear communication skills with executives and Finance.
• Experience translating complex data into practical recommendations.
• Experience working across finance, engineering, data, procurement, and business teams.
• Ability to operate in ambiguity and create structure in a new environment.

• Fin Ops Certified Practitioner certification.
• Fin Ops for AI certification.
• Familiarity with AI token pricing and usage models.
• Experience with cost tools for Snowflake, Databricks, or AWS.

• Fin Ops for AI concepts and practices

• Snowflake
• Databricks

• SQL

• Tableau

• Track and manage AI spend across licenses, usage, services, add-ons, and agent-based consumption.
• Define the framework for AI cost visibility, governance, metrics, and review cadence.
• Build forecasts and scenario models for planning.
• Create allocation and chargeback reporting by business unit and cost center.
• Monitor spend anomalies and variance to budget.
• Support cost optimization through tiering, caps, model mix decisions, and tool rationalization.
• Develop unit economics and value tracking for AI use cases and agent activity.
• Analyze usage against commitments and support renewal and pricing assessments.
• Build total cost of ownership analyses for new AI tools and rollouts.

• Base salary range of $ to $ annually.
• May be eligible for equity compensation.
• May be eligible for bonus incentive compensation.

This role offers the opportunity to help shape how a company manages AI spend across the business from the ground up. It combines strategic Fin Ops work with executive-facing analysis, forecasting, and value measurement in a new Enterprise AI Center of Excellence. You will work closely with Finance, Product, Technology Operations, Data Engineering, Procurement, and business leaders on a company-wide priority.

The position also provides exposure to a broad set of AI-related spend types, including cloud…