Note: The job is a remote job and is open to candidates in USA. HubSpot is an AI-powered customer platform company that provides software, integrations, and resources to help businesses grow. The Lead Finance Partner will own financial strategy and forecasting for the platform cost base, lead Platform COGS planning, and partner with Engineering, Infrastructure, Procurement, and Finance leadership on cloud and AI economics. The role also leads strategic initiatives involving compute demand planning, vendor renewals, cost attribution, and gross-margin analysis.
Responsibilities
- Lead Platform COGS planning, forecasting, and business partnership with Eng and TPM as the Finance DRI — driving forecast accuracy and leadership-ready cost insights through recurring business reviews, with process automation where it adds leverage
- Lead financial modeling and scenario analysis for HubSpot's 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 HubSpot's 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
Skills
- 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 vs. 80/20
- 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
- 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
Benefits
- On-target commission for employees in eligible roles
- Annual bonus targets under HubSpot’s bonus plan for eligible roles
- Some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs)
- Some roles may also be eligible for overtime pay
- US - Remote work arrangement
Company Overview
Company H1B Sponsorship