Product Manager, GPU Sandboxes
Product · Full-time
Posted on Nov 5, 2026
Product Manager, GPU Sandboxes
6 more properties
Location: San Francisco or Croatia
Type: Full-time
Reports to: CEO
The role
You will own the product for Daytona's serverless GPU sandboxes, embedded directly in the GPU pod with its engineering lead. GPU compute behind a single API call is a new category. Your job is to decide what we build, for whom, in what order, and at what price.
What You'll Do
Own the GPU sandbox roadmap: instance shapes, GPU types, regions, quotas, snapshot/pause semantics, and the developer experience around all of it
Live with customers: AI agent companies, RL training teams, and inference workloads. Turn their pain into a ranked backlog
Own pricing and packaging inputs: per-second GPU billing, margin modeling with engineering, and competitive positioning against Modal, RunPod, and other Serverless GPU Providers.
Define and track the metrics that matter: activation, time to first GPU sandbox, utilization, net revenue retention on GPU SKUs
Write crisp specs, cut scope ruthlessly, and ship with the pod every week
Feed capacity planning: work with engineering and finance on GPU procurement signals from demand data
What We're Looking For
5+ years in product management, with real time spent on infrastructure, cloud compute, or developer platforms
Technical fluency: you can hold your own in a conversation about GPU scheduling, virtualization isolation models, and API design. You don't need to write the code, but you can't be bluffed
Evidence you have shipped developer-facing products that developers actually adopted
Strong commercial instincts: pricing, unit economics, and margin awareness are part of the job, not someone else's
Bias to talking to customers over writing decks
Nice to have
Prior PM work on GPU products, serverless compute, or ML infrastructure
Experience selling into AI-native companies and Research labs
You've been an engineer at some point
About Daytona
Daytona is the infrastructure layer for AI agents. We provide secure, isolated, instantly available sandboxes where agents run code, use computers, and train. Our platform powers agent workloads, reinforcement learning, and developer environments for some of the largest AI companies in the world. We just raised a $60M Series B at a $1B valuation — an 8x step-up from our Series A earlier this year. We are growing fast and hiring across the board.
You can send your application directly to careers@daytona.io.
Successful candidates will be contacted for an interview. We appreciate all the applications we receive, but only those selected for an interview will be contacted.