Product Manager, Compute

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Product Manager, Compute
Hybrid - San Francisco
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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

As a Product Manager, Compute, you’ll own the product direction for Fluid compute, Functions, Sandbox, and the rest of the layer that runs every workload our customers deploy. You’ll set how developers configure, scale, and run code on Vercel, from a single function to multi-service architectures to agents. Fluid, our microVM-based compute infrastructure, already made new primitives possible, including Sandbox for running untrusted and agent-generated code.

This is a senior role with wide latitude: you’ll decide where the platform goes next. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday.

What you'll do

Own the product vision, strategy, and multi-year roadmap for Vercel’s compute platform, including the primitives other product areas build on
Define how Vercel serves AI and agent workloads, where long-running, I/O-bound, and code-executing tasks have a different compute profile than 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
Work directly with Enterprise customers and the field on compute requirements that block adoption or scale, and define pricing for new products and resources
What you need
8+ years of product management experience
Built and shipped infrastructure or developer platform products (ideally compute, serverless, containers, or runtime platforms), with working knowledge of concurrency, cold starts, isolation models, and cost and performance tradeoffs
Owned a platform area that other product teams build on, and set technical direction others adopted
Worked on AI or agent workloads and how their resource profile differs from conventional web traffic
Worked directly with Enterprise customers on infrastructure requirements
Used 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 worked on sandboxing, isolation, or secure execution of untrusted code
Have worked on multi-runtime platforms and the tradeoffs of supporting several language runtimes
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.
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