Staff FinOps Analyst, Enterprise AI

Procore Technologies•Austin, TX

5d•$129,600 - $178,200

About The Position

Procore is hiring a Staff FinOps Analyst to join its Enterprise AI Center of Excellence within the Enterprise Technology & Business Platforms team. The role will make company-wide AI spending visible, predictable, and tied to value by tracking, forecasting, allocating, and analyzing consumption-based costs, initially including Claude and expanding to other AI spending. The position focuses on strategy and insights rather than building data pipelines. It partners with Technology Operations and Data Engineering, who own data models and dashboards, and works closely with the Principal Product Manager, Enterprise AI, Finance, Procurement, Enterprise IT, and business leaders. The role reports to the Senior Director, Technology Transformation & Enterprise AI. It is preferably based in Procore’s Austin, Texas office, but candidates anywhere in the U.S. are also considered. The position defines AI FinOps metrics, definitions, guardrails, and operating rhythms; analyzes costs and value; forecasts spending; develops cost models and total cost of ownership; monitors anomalies and budget variance; supports allocation and chargeback reporting; recommends cost optimizations; measures unit economics; informs vendor renewal strategy; and specifies reporting requirements. It does not make budget decisions, operate chargeback, book accounting entries, configure platform caps and limits, build data pipelines, lead vendor negotiations, or cover AI features in Procore’s customer-facing products. Agentic Foundation owns P&T’s AI spend reporting and optimization decisions. The stated annual base pay range is USD 129,600–178,200. The role may also be eligible for equity compensation and/or bonus incentive compensation.

Requirements

At least 6 years of experience in FinOps, IT finance, cloud cost management, or FP&A for technology spending.
Experience managing consumption-based spending, such as cloud, data platforms, or AI.
Strong SQL and Tableau or similar BI skills, including the ability to pull, validate, and explore data.
Experience building forecasts, scenario models, and cost allocation or chargeback processes.
Ability to communicate clearly with executives and Finance and translate complex data into straightforward recommendations.
Experience partnering across finance, engineering, data, procurement, and business teams.
Comfort operating amid ambiguity and creating structure where none exists.

Nice To Haves

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

Responsibilities

Own and maintain a single source of truth for Procore’s AI spending, including licenses, model and API usage, cloud AI services, AI usage inside data platforms, SaaS add-ons and credits, and internally or vendor-operated agents.
Define and maintain the AI FinOps framework, including metrics, definitions, guardrails, and the monthly operating rhythm.
Analyze spending drivers, growth, value, and waste, and communicate findings and recommendations to leaders and Finance.
Build spend forecasts by business unit and scenario models for planning cycles, rollouts, and pricing changes.
Develop cost models and total cost of ownership analyses for proposed AI tools and major rollouts to inform portfolio decisions.
Monitor spending for anomalies, recommend alert thresholds for Enterprise IT to implement, and explain monthly budget variances.
Map AI spending to business units and cost centers each month and provide FP&A and Accounting with usage data for invoice reconciliation, chargeback, and booking.
Recommend cost optimizations involving access tiers, spending caps, model mix, idle seats, and overlapping tools.
Track unit economics such as cost per active user, use case, agent run, and outcome, and partner on measuring time to value and productivity gains.
Analyze actual usage against vendor commitments, compare pricing models, and provide analysis for renewals and negotiations.
Define AI spending dashboard requirements, including content, audiences, and cadence, and partner with Technology Operations to deliver them.