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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead, AI FinOps & Consumption Governance - **Company:** New American Funding - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,000.0 - $150,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Spreadsheets, Software as a Service, Cloud Computing, Cursor (Graphical User Interface Elements), Programming Tools, Python (Programming Language), Routing, Software Engineering, SQL Databases, Google Cloud, Genesys, Large Language Models, AI Platforms - **Published:** July 1, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8b28eb8859696dc3 ## About the Role Do you have experience in Spreadsheets?, Do you have a Bachelor's degree?, * Bachelor's degree in a quantitative or technical field, or equivalent experience. * 5+ years in FinOps, cloud or SaaS cost management, or technical finance - including direct ownership of variable, usage-basedspend. * Hands-on experience in cloud and SaaS cost and admin consoles (e.g., Google Cloud billing, Anthropic Console, Cursor Organizations, or analogous platforms). * Strong working knowledge of LLM pricing mechanics: token billing, context windows,cachingand batching, model price-performance trade-offs, and commitment and discount structures. * Proven forecasting and financial modeling for variable-usage systems. * Strong analytical toolkit: SQL, Python, BI tools, and advanced spreadsheet skills. * Track record embedding cost discipline within engineering and product teams (showback/chargeback, tagging, guardrails). * Excellent communication - able to translate complex cost structures for both technical and executive audiences. Preferred Qualifications: * Experience in regulated financial services or mortgage. * Familiarity with the economics of AI-assisted developer tooling. * Experience working with cloud billing platforms (Azure, GCP, AWS). * FinOps Foundation certification. * Experience building cost governance frameworks for emerging technologies like AI. ## Description * Own end-to-end visibility and control of all AIspendacross NAF: AI-assisted development tools (Cursor, Claude Code / Anthropic Console), managed-cloud AI (Google Cloud Vertex AI / Gemini Enterprise), Azure Foundry, embedded vendor AI (e.g., Braze, Genesys), and the cloud infrastructure consumed by AI workloads. * Set, monitor, and enforce budgets at the platform source - including pooled and seat-based structures such as Cursor Organizations - and establish guardrails, usage alerts, and anomaly detection per platform. * Own seat lifecycle economics: allocation, utilization tracking, and reclamation of idle or low-value seats. * Create attribution where vendors don't expose it. For embedded or bundled AI (e.g., Braze, Genesys) that isn't metered at the token or feature level, define a defensible allocation methodology and press vendors for usage telemetry. Model & Usage Economics * Maintain deep, current fluency in token-pricing mechanics across providers: per-model rates, context-window costs,cachingand batch economics, and committed-use and discount structures. * Partner with Engineering and AI Enablement to define and govern model-selection and routing policy, so high-cost models are used where they earn it and defaults stay economical. * Manage commitment strategy - committed-use discounts, enterprise commitments, and reserved-capacity options - against forecast demand. Allocation, Reporting & ROI * Build cost-allocation pipelines from platform and billing exports into NAF's data-warehouse and BI environment; implement tagging so spend is attributable to team, business unit, model, and workflow. * Implement showback and chargeback across pods and business units. * Define NAF's AI unit economics (cost per developer, per accepted change, per workflow, per loan or borrower interaction) and work with Finance and Analytics to testspendagainst value. * Deliver monthly executive reporting and on-demand usage and trend reporting; build forecasts tied to product-rollout milestones. Tooling & Automation * Implement and maintain FinOps tooling for AIspendin alignment with NAF's existing Finance and FinOps function. * Automate cost pipelines using platform and billing exports, SQL and Python transformations, and BI dashboards. * Standardize metrics and definitions across all platforms and models so reporting is comparable and trusted. Authority & Mandate: This role carries real decision rights, not just reporting responsibility. The Lead, AI FinOps & Consumption Governance will: * Set and enforce platform- and team-level AI budgets, including reallocation of central reserve capacity. * Own idle-seat reclamation policy and execution. * Co-own default model policy and cost guardrails with AI Enablement, and gate access to high-cost models. * Escalate and, where warranted, apply temporary throttles on anomalous spend. * Own the allocation taxonomy and reporting definitions the organization runs on., * Every AI platform has source-level budgets, alerts, and a clear owner; the central reserve operates within a defined utilization band with no overruns. * The monthly AI-spend close lands on time with variance explanations - Finance and leadership are neversurprised. * Spend is fully attributable to team, business unit, model, and workflow; showback is live and trusted. * A model-selection and routing policy is in force and has measurably bent the cost curve versus an uncontrolled baseline. * Idle-seat reclamation runs as a standing process, not a quarterly cleanup. * Leadership can get accurate AI usage and trend answers on demand, same day. Scope Boundary: This role owns AI-attributable spend and allocation methodology for AI workloads. Non-AI cloud cost management remains under central FinOps, with close partnership for shared infrastructure attribution. Other Duties: This job may require frequent sitting or standing for long periods of time. This job profile is not intended to be an all-inclusive list of job duties and responsibilities, as one may perform additional related duties as assigned in order to meet the needs of the organization. Work Authorization: Must be able to verify identity and employment eligibility to work in the U.S. ## Related Videos - [Move Fast, Break Budgets: FinOps in the Age of DevOps and AI](https://www.wearedevelopers.com/videos/2016-move-fast-break-budgets-finops-in-the-age-of-devops-and-ai) - [This App Reached 10,000 Users in One Week. 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