Backed by Greylock.
About the role
Ship a working domain-specific agent into a live customer environment in your first 30 days Build the eval infrastructure that lets us measure whether these agents are actually replacing human workflows (not vibes)
What they're looking for
- You are a builder first. You've shipped things people actually use. Alone or as the clear technical lead
- You are a forward-deployed engineer. You'll fly to a customer site, sit in their office, and understand the business before you write a line of code
- You've been called a 10x engineer and it wasn't in a self-review
- You have demonstrated experience building and deploying production-grade AI/LLM harnesses that connect models to customer data, tools, APIs, and business workflows, with appropriate evaluation, observability, guardrails, and failure handling
- You have strong opinions about when to fine-tune vs. prompt vs. RAG vs. agent vs harness and you can defend them with numbers
- You've built with the current frontier stack (Claude, GPT, Gemini, open models) in production, not just in a Jupyter notebook
More about this role
We're a stealth holding company acquiring and operating software businesses in overlooked, mission-critical industries - the systems that run the physical economy but have been ignored by Silicon Valley. We're rebuilding them as AI-native from the inside out.
We're small, well-capitalized, and moving fast. This is not a research lab. This is a build shop with real customers, real revenue, and real P&Ls.
The Role
Building the industry-specific GPT : the reasoning layer that encodes the domain expertise of each vertical we operate in.
Embedding AI-native functionality directly into our AI-native system of record : not bolt-on chatbots. Core workflow replacement. Agents that do the job.
Moving legacy systems of record datasets into new ai-native ones : Core workflow replacement. Agents that do the job.
Making it repeatable : Every new company we bring into the portfolio should benefit from the playbook, model stack, eval harness, and infra you build.
Managing AI talent across our operating companies : you'll be a player-coach for the AI engineers embedded at each sub.
Split: 90% building. 10% managing. If that ratio scares you, this isn't your role. If it excites you, keep...
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