The company
Management OS (mgmt-os.ai) is the AI-native management system built for the leader — the leadership execution layer above the revenue stack. It helps founders and revenue leaders see what changed, understand what it means, and know where to lead next — across the business, the team, and themselves. Behind it: a 500+ page management canon, 56 agentic automations, 400+ integrations, and a patent-pending system, built on twenty years of scaling revenue organizations ($8M to $87M through IPO; $50M to $8.2B across 10,000 sellers in 34 countries). Delaware C-Corp, Stripe live, founding cohort underway. Pre-revenue, deliberately bootstrapped, building its go-to-market pod as three fractionals plus an AI agent workforce — and now a small bench of exceptional interns.
Why this internship is different
We are not Meta, and this is not a fetch-coffee internship. The honest trade is this: we pay $15/hour (plus academic credit where your school offers it), and in return you get something most internships can’t buy — real ownership of real work, direct mentorship from a founder who has scaled revenue organizations to billions, and a documented path from intern to paid contractor to founding-team status as the company grows. The “grunt work” here — building awareness, educating buyers, engaging the ICP — is the work that decides whether a startup lives. You will own a slice of it, see your impact in the numbers, and learn the operating system of a company from the inside.
What you get: Direct founder mentorship coached against the Mgmt OS competency models · a portfolio of shipped, real work · a credible path to paid and founding-team roles · a strong reference and LinkedIn recommendation on completion.
The bar — the three qualities we hire for
Credentials are secondary. Across every role below, we screen first for three qualities, in this order:
- Hunger / drive / ambition. You want more than a line on a résumé. You move fast, take ownership, and treat this as a chance to prove what you can become.
- Curiosity. You ask why. You want to understand how revenue, products, and companies actually work — not just complete the task in front of you.
- The ability to figure things out / resourcefulness. You hit a wall and find a way around it — a search, a tool, an AI agent, a smart question — before raising your hand. You are AI-native by instinct.
Everything that follows — the roles, the outcomes, the deal-breakers — is downstream of these three.
How we hire (fast, structured, mutual)
- Apply with an artifact you made — anything you shipped, built, wrote, sold, or organized beats a résumé (résumé optional).
- Four short application questions (below). Caps are part of the test.
- A 30-minute conversation with the founder — behavioral, evidence-based.
- A small paid trial task (2–4 hours) on real work. You see the company; we see how you think.
- Decision within 10 days. Every applicant gets a response within 72 hours.
The role: Engineering & Product Intern
Hardens the product · Remote-friendly · Reports to Founder + Fractional Founding Engineer
Function
Engineering / Product
Mission
Make the four surfaces more trustworthy and tested
Best-fit talent
CS / software engineering — people who ship
The work
- Work alongside the founder and founding engineer on the live stack (Next.js 15 / React 19 / TypeScript / Supabase / Vercel / Clerk / Stripe / Claude API / HubSpot OAuth).
- Write and expand tests on the key flows behind the four product surfaces.
- Run integration testing across HubSpot and the broader integration set; document what breaks.
- Triage and fix scoped bugs; build small internal tools and scripts that save the team time.
- Improve developer and product documentation as you learn the codebase.
What “great” looks like — the spine of the role
- Meaningful test coverage on at least one critical flow that didn’t have it.
- A backlog of bugs triaged, with a set fixed end to end.
- One internal tool or script shipped and actually used.
- An honest, useful integration-test report.
What you’ll learn
AI-native software development (building with the Claude API and AI coding tools as the default), the modern startup stack, production discipline, and what it means to ship software that carries a customer’s revenue data.
Who you are
- You ship — you have built and finished things.
- You are AI-native in how you code.
- You learn an unfamiliar codebase fast and earn trust in it.
- You are a resourceful debugger who reads before asking.
Deal-breakers (any one ends the conversation)
- Needs a complete spec before acting.
- Over-engineers when the constraint is time.
- Treats AI coding tools as a threat or a toy.
- Won’t sign IP assignment and confidentiality on day one.
