Job description

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. 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. About the role 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). 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 can deliver. This is a senior role with wide latitude: you'll decide where that platform goes next. 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. What you'll do 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 What you need 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 Bonus if you 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 Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Requirements

Must-haves

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
What you need
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
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

Nice-to-haves

Bonus if you

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapi

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision