Strategic Finance Manager, Product

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. 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.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like  OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

About the Role:

We are hiring a Strategic Finance Manager, Product (EPD) to partner with Engineering and Product to drive unit economics, infrastructure efficiency, and margin expansion across Vercel’s consumption-based platform.

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

• Own financial visibility into compute, bandwidth, storage, and AI-related costs (e.g., inference, GPU/accelerated workloads)

• Translate product and infrastructure usage (requests, execution time, tokens, etc.) into clear cost drivers

• Partner with EPD to drive cost-efficient architecture and scaling decisions

Cost Visibility & Accountability

• 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

• Standardize cost attribution across products and multi-tenant systems

Efficiency & Margin Expansion

• 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)

• Embed cost efficiency into roadmaps and product decisions

Cost Allocation & Financial Rigor

• Develop scalable cost allocation frameworks across products, customers, and workloads

• Improve gross margin visibility, including AI product margins

• Support auditability and IPO readiness

Cross-Cutting Workstreams

Unit Economics

• Define product-level unit economics across Vercel’s product suite

• Connect usage (requests, compute, tokens, etc) to revenue and COGS

COGS / Gross Margin Forecasting

• Build driver-based models linking usage, revenue, and infrastructure costs

• Forecast COGS across core platform and AI products for both PLG & SLG segments

• Model margin impact of scale and efficiency improvements

Pricing & Packaging

• Partner on usage-base