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Vercel

Product Manager, Compute

Vercel is hiring a Product Manager, Compute in San Francisco, United States. It pays $208k-$312k a year and Level rates it ; you can apply on Vercel.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 16% higher than the typical AI product manager posting on Level.
  • The posting mentions OpenAI among its tools and skills.
  • Level classes it as a senior role.
  • Vercel has 86 other open roles on Level.

AI in this role

OpenAI

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.

How we rate this

Product Manager, Compute at Vercel rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

OpenAI

Also common in AI product manager jobs at this level

Pay

This job starts at
$208k
Typical AI product manager job
$179k

This posting starts 16% above the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. What's a project where you used OpenAI hands-on?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: OpenAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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