Product Manager, Compute

Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

We are looking for a Product Manager to join our Product team. You will own Vercel's compute platform — Fluid compute, Vercel, Functions, Sandbox, and more — the layer that runs every workload our customers deploy. You will set the direction for how developers configure, scale, and run code on Vercel, from a single ...

Vercel invested in its own microVM-based compute infrastructure externally called “Fluid compute”. Fluid changed what’s now possible to run on Vercel. For example, we’ve delivered Sandboxes, a new primitive to run untrusted and agent-generated code. We are just scratching the surface of what Fluid is can deliver. Th...

We are looking for a Product Manager to join our Product team. You will own Vercel's compute platform — Fluid compute, Vercel, Functions, Sandbox, and more — the layer that runs every workload our customers deploy. You will set the direction for how developers configure, scale, and run code on Vercel, from a single function, to multi-service architectures, to agents. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
Own the product vision, strategy, and multi-year roadmap for Vercel's compute platform.
Define how Vercel serves AI and agent workloads, where long-running, I/O-bound, and code-executing tasks have a fundamentally different compute profile than traditional request/response traffic.
Shape the developer experience of running workloads on Vercel: resource model, attributes, API and config files.
Partner with Engineering on the performance and reliability bar for compute, including cold starts and creation time latency
Define pricing for new products and resources.
Set the compute primitives that adjacent product areas build on, and work with those teams on what they need from the platform
Work directly with Enterprise customers and the field on compute requirements that block adoption or scale

You've built and shipped infrastructure or developer platform products, ideally compute, serverless, containers, or runtime platforms
You have the technical depth to reason about concurrency, cold starts, isolation models, and the cost and performance tradeoffs of a compute platform
You have owned a platform area that other product teams build on, and set technical direction others adopted
You have experience with AI or agent workloads and how their resource profile differs from conventional web traffic
You have experience working directly with Enterprise customers on infrastructure requirements
You have experience using usage and product analytics data to drive roadmap decisions
Have worked at a cloud provider or on a serverless, container, or edge compute platform
Have an engineering background or have built software yourself
Have worked on multi-runtime platforms and the tradeoffs of supporting several language runtimes
Have worked on sandboxing, isolation, or secure execution of untrusted code