Overview
This role is a Lead Finance Partner for Product FP&A (POS-15360). This is an individual contributor position on a lean team with regular, direct exposure to senior Finance leadership.
The role involves owning financial strategy and forecasting for a triple-digit-$M platform cost base, partnering with Engineering, Infrastructure, and Procurement to translate complex cloud and AI economics into clear business decisions.
Responsibilities
- Lead Platform COGS planning, forecasting, and business partnership with Engineering and TPM as the Finance DRI, driving forecast accuracy and leadership-ready cost insights through recurring business reviews and process automation where it adds leverage.
- Lead financial modeling and scenario analysis for a hyperscaler contract renewal, partnering with Engineering, Infrastructure, Procurement, and Finance leadership to shape contract strategy and monitor commitments.
- Build durable, driver-based forecasting frameworks for LLM/compute demand and platform spend, translating technical metrics (compute, storage, networking, model usage) into workload-level forecasts that scale with evolving AI infrastructure needs.
- Partner with Engineering and Data teams to connect platform usage and infrastructure architecture to feature-level cost attribution and gross-margin analysis, informing pricing, packaging, and architecture decisions.
- Lead complex, cross-functional initiatives from ambiguous questions to decision-ready recommendations, setting the pace and keeping stakeholders aligned.
Minimum Qualifications
- Experience in FP&A, strategic finance, infrastructure finance, FinOps, or similar, involving complex cost structures and cross-functional decision-making.
- Solid understanding of COGS, gross margin, and unit economics in a cloud, SaaS, or usage-driven environment, including how cost structures, architecture, and commercial commitments shape them.
- Experience building driver-based models, forecasts, and scenario/sensitivity analyses with imperfect or evolving data.
- Demonstrated ownership of ambiguous, multi-stakeholder projects end-to-end—from analysis through recommendation and execution—with judgment on when to go deep versus use an 80/20 approach.
- Demonstrated ability to influence senior stakeholders in Product, Engineering, Infrastructure, Procurement, and/or Strategy & Operations by building credibility and translating complex cloud/AI economics clearly, balancing rigor with speed.
Preferred Qualifications
- Experience at a high-growth, multi-product SaaS, cloud infrastructure, or AI business.
- Experience working with large or complex datasets, with demonstrated ability to navigate SQL workflows, AI tools, or other analytical tools to identify meaningful insights.
- Experience with AWS economics, including Compute Savings Plans, Reserved Instances, commitment attainment, or large cloud vendor renewals.
- Experience supporting AI or LLM infrastructure planning, including GPU demand, model usage, model routing, or related cost drivers.
- Experience developing product-, feature-, or workload-level cost attribution and unit-economic frameworks.
Compensation & Benefits
- Annual Cash Compensation Range: $123,600—$197,800 USD
- The cash compensation range includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under a bonus plan for eligible roles.
- Some roles may be eligible to participate in an equity plan to receive restricted stock units (RSUs).
- Some roles may be eligible for overtime pay.
- Individual compensation packages are tailored to skills, experience, qualifications, and other job-related reasons.
Location
US - Remote
Additional Information
- Remote employees may be supported with hybrid practices; if joining an Engineering team, regional office attendance may be required for in-person onboarding.
- If joining a broader Product team, in-person events (such as product group gatherings) may be required to continue building connections.
- If accommodation is needed due to travel limitations or other reasons, inform the recruiter during the hiring process.