Strategic Finance Manager, EPD

Hybrid

Responsibilities

Own financial visibility into compute, bandwidth, storage, and AI-related costs (e.g., inference, GPU/accelerated workloads)
Build self-service cost tooling for Product and Engineering (cost per request, per workload, per AI query)
Enable teams to own and optimize their infrastructure footprint
Lead infrastructure and AI efficiency initiatives (compute optimization, caching, vendor strategy)
Define north star metrics (e.g., cost per request, cost per AI call, cost per GB)
Develop scalable cost allocation frameworks across products, customers, and workloads
Support auditability and IPO readiness Cross-Cutting Workstreams Unit Economics
Define product-level unit economics across Vercel’s product suite
Build driver-based models linking usage, revenue, and infrastructure costs
Model margin impact of scale and efficiency improvements Pricing & Packaging
Evaluate tradeoffs between growth, adoption, and margin
Ensure pricing is reflected in forecasts and unit economics About You:

As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.
This role spans cloud infrastucture & token spend, as well as emerging AI workloads (inference, gateways, and compute-intensive services).
You will define how we measure and optimize the cost and profitability of every request, workload, and AI interaction on the platform.
What You Will Do: Infrastructure & AI COGS Ownership
Improve gross margin visibility, including AI product margins
Forecast COGS across core platform and AI products for both PLG & SLG segments
Partner on usage-based and AI pricing models
Experience with consumption-based or cloud infrastructure businesses
experience with driver-based forecasting
SQL / data tooling experience strongly preferred Benefits: