Systems Engineer
Frontline AI Operations Analyst responsible for maintaining AI‑native consulting platforms, building and monitoring data pipelines, managing cloud infrastructure, and ensuring client deployments run smoothly using Python, SQL, AWS, Airflow, and prompt engineering for LLMs.
AI Operations Analyst
About Our Company
Our company builds institutional memory for investment firms and family offices. The judgment, decisions, and conversations that make a firm what it is mostly live in people's heads — and disappear when those people move on. We change that, working on top of the tools each firm already uses to turn how they operate into something the team can use, allocators can see, and the next generation can inherit.
The Role
This is a frontline operations role for an AI-native consulting practice. The founder owns each client engagement and sets the architecture. You keep the systems running and the clients well-served.
As AI lets very small teams deliver work that used to require very large ones, someone has to make sure the prompts, knowledge bases, capture routines, and recurring deliverables behind that actually work as intended.
What You'll Do
Frontline Support
Be the first point of contact for client teams. Take in requests, respond, and escalate to the founder when needed.
Diagnose the Problem
Most requests won't come with clear specs. Figure out what the client actually needs and what the response should look like.
Update the Tooling
Once you know the right response, go into Notion, Linear, Slack, Google Workspace, Claude, Fireflies, etc. and make it real. The work is configuration and curation.
Turn Messy Material into Useful Artifacts
Transcripts, email threads, scattered documents — read them, find the structure, and produce a summary, decision log, brief, or procedure.
Steward the Knowledge Base
Keep each client's institutional memory layer organized, current, and trustworthy. Catch staleness, gaps, and drift before they compound.
Monitor Quality
Review AI-assisted outputs on a regular cadence. Fix wrong-voiced or thin output and feed corrections back into the templates.
Document the System
Write the procedures and reference materials that let a client's team operate on their own.
Onboard New Clients
Stand up tooling, ingest context, build initial structures, get routines running. Each onboarding makes the next one faster.
Who You Are
AI operations didn't exist as a job a couple of years ago, so we care more about how you're wired than what's on your résumé.
You're Wired for Correctness
You can't comfortably walk away from something that's half-finished or quietly broken. You notice when an output is subtly wrong, thin, or off-voice.
You Learn by Doing
You don't wait for perfect documentation; you take a stab, and when you get stuck you come back with a precise account of what you don't und
Posted June 18, 2026