We are seeking a highly technical FinOps leader to own cost architecture, optimization, and financial observability across our AI and LLM platforms. This role will operate at the intersection ML engineering, cloud infrastructure and finance, with deep involvement in model selection, inference optimization, GPU utilization, and provisioned throughput strategy.
You will partner closely with Engineering, AI/ML Platform, and Finance teams to implement reporting frameworks that enable informed decision-making, optimize resource allocation, and establish sustainable cost models.
You will build cost transparency into the AI stack itself — from token-level economics through GPU cluster utilization — and partner directly with engineering teams to design for cost-efficiency at scale.
AI costs scale non-linearly with usage. As we expand our LLM-powered products, disciplined financial management, throughput optimization, and transparent reporting will be critical to ensuring sustainable growth.
Key Responsibilities
AI & LLM Cost Governance
-Develop and maintain dashboards/cost models for all AI/LLM-related infrastructure.
-Implement chargeback/showback models across business units.
-Build cost allocation pipelines integrating cloud billing exports into internal data warehouses.
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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