Infrastructure Finance Lead
BasetenSan FranciscoPosted 28 April 2026
Tech Stack
Job Description
Infrastructure Finance Lead
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E https://www.baseten.co/blog/announcing-baseten-s-300m-series-e/, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We're hiring an Infrastructure Finance Lead to own the operating P&L for Baseten's compute infrastructure. In this role, you'll be a key partner to our Infra, Capacity Planning, and Inference Engineering teams — providing the financial expertise to keep our footprint on budget, drive unit cost down, and de-risk our largest infrastructure exposures. You'll own the near-term forecast for compute spend, run budget-vs-actual against contracted capacity, and serve as the primary finance counterpart to our cloud and GPU operating partners.The ideal candidate has strong analytical skills paired with excellent operational execution, and a track record of success in high-growth infrastructure or platform businesses.
THE RESPONSIBILITIES
Compute & Infrastructure Strategic Finance
- Own Strategic Finance for all live compute spend, including Cloud and GPU Capacity.
- Build and maintain per-region and per-partner cost forecasts; refresh on a cadence that supports monthly business reviews and quarterly board reporting.
- Run budget-vs-actual on capacity commitments and infrastructure programs, tracking expected eventual spend against approved commitments and customer-driven demand.
Strategic Projects
- Lead financial analysis for capacity-mix decisions, multi-region buildouts on key infrastructure components.
- Handle operational finance asks tied to compute partners and live capacity — pricing reviews, true-ups, capacity reshuffles, and contract amendments.
- Partner with the Infra and BD leads on deal-to-operations handoffs, ensuring budgets set at contract signing are operationalized at go-live and tracked through their full term.
- Build the analytical backbone for gross margin, COGS attribution by customer and model family, and infrastructure ROI on new capacity bets.
THE REQUIREMENTS
- 7-10+ years of investment banking experience in Infrastructure
- Strong financial modeling, analytical, and problem-solving skills with the ability to independently see issues through to resolution, including building complex unit-economics and capacity-planning models.
- Comfort being the finance person in the partner/vendor room and partnering with deeply technical operating teams (infra engineering, capacity, SRE).
- Proven track record of managing multiple work streams under tight timelines, with best-in-class attention to detail and unwavering commitment to accuracy.
- Exemplary interpersonal skills to translate financial data into actionable insights for senior leadership and non-finance stakeholders.
- Strong enthusiasm about technology and artificial intelligence, and a desire to work at the intersection of finance and the compute supply chain powering the AI era.
STRONG CANDIDATES MAY ALSO HAVE
- Direct experience with cloud commitment economics (committed-use discounts, reserved capacity, savings plans), GPU procurement.
- Experience managing finance cadence with a third-party cloud, colocation, or managed-services provider.
- Background in AI, ML, or high-performance, large-scale computing infrastructure.
BENEFITS
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve ... (truncated, view full listing at source)
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