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BuildClub — AI Built in Plain Sight

CAREERS

We're hiring.

We're building a small, senior team that ships AI inside real operating businesses. Three roles are open right now — AI Integration Consultants, Workflow Designers, and AI Engineers.

We're a small, deliberately senior team. We hire slowly — usually because we have a specific engagement that needs a specific skill set. Three of those skill sets are open right now:

  • AI Integration Consultant — the senior person inside a client deployment
  • Workflow Designer — the person who maps how work actually flows and redesigns it around AI
  • AI Engineer — the person who builds the agents, integrations, and observability that make it production-grade

Full details are below. Interested? Send us a note with a 1-paragraph reason BuildClub is interesting, a link to something you've shipped, and which role fits. We read every submission.

OPEN ROLES

3 roles open right now

AI Integration Consultant

Full-timeRemote (US-friendly)

Embed inside client deployments and own the integration end-to-end — from data plumbing to handoff to the operator who'll run it.

You'll be the senior face of BuildClub inside a client engagement. We work with operators in mid-market and PE-backed businesses where AI has to land in a real workflow on day one. Your job is to make sure it does.

What you'll do

  • Run client discovery and translate operator pain into a concrete deployment plan
  • Own the AI integration roadmap for one to three engagements at a time
  • Pair with workflow designers and engineers to ship working systems, not slides
  • Write the playbook the client's team uses after handoff
  • Know when to push back on a request that won't move the business

What you bring

  • Eight or more years operating inside or alongside mid-market businesses (consulting, ops leadership, or PE portfolio work)
  • Hands-on familiarity with how LLMs and AI tools actually behave in production
  • A portfolio of things you've shipped, not slides you've delivered
  • The judgment to know which problems are worth automating and which aren't
  • A preference for working with operators over executives

Workflow Designer

Full-timeRemote

Map how work actually flows inside a business and redesign it so AI does the parts humans shouldn't be doing.

BuildClub deploys digital workforces inside operating businesses. Workflow designers are the people who figure out exactly what those workforces should do and where the human handoffs need to live. The role is part operations analyst, part product designer, part change manager.

What you'll do

  • Sit with operators and reverse-engineer their actual workflow, not the one in the SOP
  • Design the post-AI version of that workflow with measurable handoffs
  • Spec what an agent or LLM should do, what a human keeps, and what breaks if either drifts
  • Write the documentation operators use to train their teams on the new flow
  • Observe real usage and tighten the design over the first 90 days

What you bring

  • Six or more years inside operating businesses — ops, RevOps, finance ops, customer ops, or similar
  • A strong intuition for how work breaks when you change one step in a pipeline
  • Fluency in process documentation, RACI, and SOP design
  • Comfort with AI tooling at the level of an advanced power user (you don't need to be an engineer)
  • A writing style that operators actually read

AI Engineer

Full-timeRemote

Ship the technical systems behind BuildClub's digital workforce — agents, integrations, evaluations, and the plumbing that makes them production-grade.

You'll be one of the senior engineers responsible for everything that turns an LLM into a working part of a client's operation: agent design, tool integration, evaluation harnesses, observability, and the boring infrastructure that keeps it running at 2 AM.

What you'll do

  • Design and implement multi-step AI agents that run inside real client workflows
  • Integrate with the systems clients actually use — Salesforce, NetSuite, SharePoint, custom databases, and worse
  • Build evaluation and monitoring so we know when an agent is drifting before the client does
  • Own the production reliability of the systems you ship
  • Mentor junior engineers and write the patterns the rest of the team follows

What you bring

  • Five-plus years building production systems, including at least 18 months working hands-on with LLMs and agent frameworks
  • Strong Python and TypeScript; comfort across cloud (AWS or GCP), containers, and CI/CD
  • Real experience with AI evaluation, prompt engineering, and the tradeoffs between model providers
  • The instinct to ship something simple and observable before something clever
  • Written communication strong enough to explain technical decisions to a non-technical client

What we look for when we are hiring:

  • • Operators who have run something at scale, not just consulted on it
  • • Engineers who treat AI as a tool, not a religion
  • • Anyone who has shipped a digital workforce in production
  • • People who can write clearly and present without slides

What we don't look for:

  • • Generalist consultants
  • • "AI strategists" without operational backgrounds
  • • Anyone who needs us to write the JD before they apply

Interested? Send us a note →