Job Description
Founding Forward Deployed Engineer 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 two people with more real customer pull than two people can carry, so you’re the technical and product force that makes deployments real, and you wear the hats a tiny company needs. You make our customer operations and relationships faster across the board. What "build" means here 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. Our codebase is Swift/SwiftUI (macOS app), Go (backend), and TypeScript (services). You do not need experience in all of these. 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. If your first instinct under pressure is to stare at the code instead of handing it to an agent, this is not the right fit. What you will work on Core engineering Cross-platform conversation sync across many AI providers, the hardest unsolved capture problem in the space Search and retrieval that makes thousands of conversations queryable in milliseconds Ontology and knowledge structuring: turning messy conversational material into trustworthy, typed knowledge AI governance: team sharing, permissions, and policy. This is what turns Nessie from an individual tool into the context layer for a whole organization. Agent-facing APIs (CLI, MCP) that let any AI tool reach accumulated human reasoning Self-hosted and on-prem deployments, plus the security and compliance that come with them, as we move into larger and more regulated organizations The intelligence layer that sits underneath every AI interaction Agent-trace intelligence: extracting the f
