Procore Technologies is the leading technology partner for every stage of construction. We empower construction teams to drive efficiency and mitigate risk through actionable AI & data-driven insights. For over 20 years, we have been transforming the industry with purpose-built solutions for construction professionals and we’re looking for talented people to help us build together.
We are looking for a Staff FinOps Analyst, Enterprise AI to make Procore's AI spend visible, predictable, and tied to business value. As the Staff FinOps Analyst, Enterprise AI on our Enterprise AI Center of Excellence team within Enterprise Technology & Business Platforms, you will work closely with Finance, Procurement, Enterprise IT, and business leaders to drive financial discipline, active spend management, and strategic visibility across our expanding AI ecosystem. Your strengths in FinOps frameworks, consumption-based financial modeling, and cross-functional leadership will drive your success.
You will report to the Senior Director, Technology Transformation & Enterprise AI and will be based in our Austin, TX office or remotely within the US.
What You’ll Do
Own the full picture of AI spend : Build and maintain one source of truth for Procore's enterprise AI investments, including seat licenses, API usage, cloud AI services (AWS Bedrock, Google Vertex AI), platform consumption (Snowflake, Databricks), SaaS add-ons, and autonomous agents.
Build and operationalize the AI FinOps framework: Define governance metrics, guardrails, policy thresholds, and monthly operating rhythms to actively manage consumption-based growth.
Deliver strategic spend insights: Analyze key spend drivers, trends, and return on investment; brief executive leadership and Finance on variance, efficiency opportunities, and resource reallocation.
Lead enterprise forecasting and scenario planning: Develop detailed spend forecasts by business unit alongside scenario models to inform planning cycles, new tool rollouts, and pricing adjustments.
Build business cases and TCO models: Partner with the Principal Product Manager, Enterprise AI, to construct Total Cost of Ownership (TCO) models that guide AI portfolio and investment decisions.
Drive allocation and chargeback reporting: Map monthly AI spend to business units and cost centers, providing FP&A and Accounting with usage data needed for invoice reconciliation, chargebacks, and general ledger bookings.
Recommend continuous optimizations: Partner with Enterprise IT to recommend optimizations across access tiers, spend caps, model mix, and license reclamation to eliminate waste without impeding adoption.
Measure unit economics and vendor strategy: Track unit metrics (cost per user, use case, or agent action) against productivity outcomes, and partner with Procurement to analyze usage trends for contract renewals.
What You Bring
6+ years of progressive experience in FinOps, IT finance, cloud cost management, or FP&A managing enterprise technology spend.
Proven track record managing consumption-based cost models across cloud infrastructures, data platforms, or AI services.
Advanced technical data proficiency using SQL and BI visualization tools (such as Tableau) to independently query, model, and analyze large consumption datasets.
Deep experience developing complex forecasting models, scenario plans, and cost allocation/chargeback processes for business units.
Exceptional executive communication and storytelling skills, with demonstrated ability to translate complex data into actionable business recommendations.
Demonstrated success partnering cross-functionally across finance, data engineering, enterprise architecture, procurement, and executive leadership.
High adaptability and strategic problem-solving skills, with a track record of establishing structure and operational frameworks in ambiguous environments.
Bachelor's degree in Finance, Economics, Computer Science, Information Systems, or equivalent practical experience;…