Job description

Rockstar is recruiting for an early-stage, Charlotte-based company building a new data and onboarding platform for multi-unit franchise operators. The client is already working with operators behind brands such as Jersey Mike’s, Dave’s Hot Chicken, Little Caesars, and Marco’s Pizza. About the Role The person in this role will collaborate with operators, learn where their data breaks, and build the integrations and pipelines that get them live with numbers they can trust. They will also design the onboarding system itself, so each new operator goes live faster than the last. There is no playbook yet, so they will build it with the client’s co-founder and CPO, the Customer Success Lead, and the product and engineering teams. The person will be joining a team with experience from Palantir, Y Combinator, Techstars, FullStory, and Dell, among others. What Matters for This Role • The candidate is comfortable working inside a customer’s messy data • The candidate has modeled data for business analytics • The candidate can explain a data problem to an operator as clearly as to an engineer • The candidate writes reusable code, so every build makes the platform better for the next customer • The candidate is comfortable building with AI tools like Claude Code • The candidate scopes tightly and ships • The candidate wants to help define what great onboarding looks like at an early-stage company What the Client Is Looking For The right person will need 2+ years of post-college experience, ideally in data and system integration, plus strong SQL and TypeScript. Forward-deployed, solutions, and implementation engineers fit best, with Palantir-style FDE work as the archetype. Bonus • Experience working with restaurant or franchise data • Familiarity with Toast, PAR, Xenial, or Qu • Experience with dbt or ClickHouse Location & Compensation • Charlotte, NC (Onsite) • Salary + equity

Requirements

Must-haves

The person will be joining a team with experience from Palantir, Y Combinator, Techstars, FullStory, and Dell, among others.
What Matters for This Role
The candidate is comfortable working inside a customer’s messy data
The candidate has modeled data for business analytics
The candidate can explain a data problem to an operator as clearly as to an engineer
The candidate writes reusable code, so every build makes the platform better for the next customer
The candidate is comfortable building with AI tools like Claude Code
The candidate scopes tightly and ships
The candidate wants to help define what great onboarding looks like at an early-stage company
What the Client Is Looking For

Nice-to-haves

Experience working with restaurant or franchise data
Familiarity with Toast, PAR, Xenial, or Qu
Experience with dbt or ClickHouse
Location & Compensation
Charlotte, NC (Onsite)
Salary + equity

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqltypescript

Platform: workable
Effort: medium