Startups · AI

Cofounder

Superset · San Francisco Bay Area · On-site

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About Superset

Bring Claude Code, Codex, OpenCode, or any coding agent into one workspace. Run tasks in parallel, isolate changes, and review everything in one place. Backed by Y Combinator.

About the role

We believe the next generation of infrastructure companies will be built by founders who refuse to separate engineering, product and customers into different conversations. As a Cofounder, you'll help build the company as much as the product, from early customer conversations and product direction to company building. You'll spend your time moving between customers, product and engineering, turning customer insight into products developers choose to depend on.

What they're looking for

  • You naturally gravitate toward customers, product vision and creating the first generation of design partners
  • Exceptional product judgment. You know the difference between software that works and software developers choose to adopt
  • A track record of turning ambiguous problems into products through close collaboration with customers
  • The ability to move naturally between architecture discussions, product decisions and customer conversations
  • Experience building and shipping production software that engineers rely on
  • Strong technical depth and architectural judgment. You don't need to be the smartest engineer in the room, but you should earn the respect of those who are
More about this role

Format: In-office 4 days a week with flexibility for the occasional remote days

Every generation of software creates a new operational layer. Operating systems abstracted hardware. Cloud abstracted infrastructure. Observability abstracted production systems. These categories emerged because software reached a point where every company was solving the same operational problems independently.

Every company building production AI will eventually solve these problems. The only question is whether they'll solve them independently or build on a common operating layer. Building with LLMs is becoming increasingly accessible. Operating them in production isn't. Teams are making daily decisions about evaluation, routing, latency, cost and reliability, often by stitching together internal tooling. The question is whether every AI company should have to build these capabilities.

We think every production AI system will eventually depend on a control plane. We'd rather build it than wait for someone else to. Majordomo will offer engineering teams the confidence to deploy, evaluate and continuously improve AI applications without building the operational infrastructure themselves.

Majordomo is...

Read the full posting on Superset's site ↗

Majordomo

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