Head of Growth & Origination

Relationships

Build and work a network across private equity: operating and value-creation teams, EIRs, deal teams, and the CFOs and COOs of the companies they own. Catch up with the people you already know, get introduced to the ones you don't, and go to the cities where they are. Turn those conversations into customers— a portfolio company with dirty contract data, a stalled M&A integration, a vendor implementation that failed, an ERP that doesn’t reconcile.

Engagements

Optional, and encouraged. Run the work you bring in as the engagement manager: sit with the customer, scope the problem, direct our engineers, own the outcome. You don't have to, and the commission reflects the choice. It's also the fastest way to get better at part one—being able to describe exactly what broke at the last portfolio company, and how we fixed it, is what makes the next conversation land.

Building the Practice

AI and data transformation inside the portfolio is one of the largest unmet needs in private equity, and there's very little credible, first-hand writing on it. Publish, speak, host dinners, help us start a podcast. If you want to build out a line of business—the CFO practice, say—you'll own that book.

Who You Are

• You spent time in private equity. A deal team, an operating or value-creation team, or a function you ran inside a portfolio company. That's what earns the conversation— you can talk about the problem the way the buyer experiences it, not the way a vendor pitches it.
• You have a deep network across private equity. People who reply to your texts / are your friends. Ideally it runs across mid-market funds, where most of the opportunity is and almost nobody has been sold to yet. The larger funds, where you came up. Portfolio-company executives—the CFOs, COOs and CIOs who actually sign the work.
• You like the work of building relationships. Coffees, dinners, introductions—this is the job, not the overhead around it.
• You’ve seen the mess first-hand. Post-acquisition data chaos, rev ops that doesn’t tie to the GL, four consulting firms and it’s still manual.
• You’re genuinely interested in AI and want to see it do real work—inside an operating business, on real data, not in a demo.
• You want the upside. Compensation here is weighted toward what you build.
• You’re careful with your name. You only get to introduce your network to one thing. We understand that, which is why we’d rather show you the work than pitch you.
• You’re at the point where you want out. You’ve seen what the next eight years look like if you stay, and you’d rather own something.