Strategy & Operations Lead: Pricing, Monetization & SQL Analytics | Vertical AI | New York City (On-site) | Up to $175K + Equity

"It is a capital mistake to theorize before one has data."Sherlock Holmes, by Arthur Conan Doyle

Pull the data yourself. Then make the call.

The opportunity

A vertical AI company in New York, building software for independent healthcare practices, is hiring a hands-on Strategy & Operations Lead. You'll own the strategic projects that shape how the company prices, packages and grows its AI products, including the ones still on the whiteboard.

Projects run one to four weeks. You'll get light direction and a lot of trust. You report to the Head of Strategy & Operations and work daily with Product, Engineering, Operations and Sales.

What you'll own

Pricing, monetization and customer segmentation for a fast-growing AI product

Zero-to-one research on new products, then the one-to-ten work of scaling what lands

Your own analysis. You write the SQL, build the model and present the answer

Customer and stakeholder conversations that test the numbers against reality

Recommendations that turn into shipped changes

Who this is for

Around four to six years in. Two or three in consulting, investment banking or private equity

Then two or three at a fast company. Vertical AI, software, a marketplace or a high-growth startup

Hands-on with data. SQL is something you do, not something you request

Structured problem solver. You can take a vague question and hand back a clear answer in a few weeks

Scrappy. Fast promotions, side projects or an early business of your own all count

Trajectory beats brand here. A strong run at a smaller firm is welcome.

Who this isn't for

Careers spent only in professional services

Anyone who wants to manage a team rather than do the work

Anyone who needs three remote days a week

The deal

$135K to $175K base plus equity

New York City office, Monday to Thursday

Stable US work authorization required

Apply

Apply through the form on this page with your resume. Mention one analysis you pulled and ran yourself, and the decision it drove.