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Founding Forward Deployed Engineer

Nessie · San Francisco, CA, US · On-site

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About Nessie

The shared context layer for recursive companies - your work, your…. Backed by Y Combinator.

About the role

You’re a builder who works at the frontier with our customers. You deploy Nessie into customer environments, build the integrations and workflows they need, and bring what you learn back into the core product. We’re a tiny team with more real customer pull than we can carry, so you’re the technical force that makes deployments real, and you wear the hats a tiny company needs. You are not the sole owner of any customer; the founders lead those relationships, and you make us faster across the board.

What they're looking for

  • The instinct to ship before it is perfect
  • Extreme autonomy. We are two people. There is no manager. There is no spec. There is a problem and you figure out how to solve it
  • Opinions about products you use. If you have never looked at an app and thought "this is wrong and here is how I would fix it," we are probably not a match
  • Comfort with ambiguity. The product is evolving fast, and what you work on in week 1 may differ from week 4. That should excite you
More about this role

You’re a builder who works at the frontier with our customers. You deploy Nessie into customer environments, build the integrations and workflows they need, and bring what you learn back into the core product. We’re a tiny team with more real customer pull than we can carry, so you’re the technical force that makes deployments real, and you wear the hats a tiny company needs. You are not the sole owner of any customer; the founders lead those relationships, and you make us faster across the board.

  • You have shipped something real: something with users, or something you use every day because you made it for yourself. You have gone from nothing to working software more than once.
  • You’re comfortable across the stack. We ship native desktop apps on macOS, Windows, and Linux, a CLI and background daemon, agent integrations, and a cloud backend, across several languages. You do not need all of them; you need to be the kind of person who picks up what they need.
  • You reach for AI tools instinctively (Claude Code, Cursor, Codex) and you are faster because of it.
  • Ingestion at scale: a data lake for heterogeneous sources, from ChatGPT and Claude Code transcripts to meeting recorders,...

Read the full posting on Nessie's site ↗

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