You Know the Shop. Now Help Us Build the Software That Runs It.
Strictly In-Office (No Remote, No Hybrid)
We're building an AI-driven software platform for the automotive service industry, and we're looking for someone who already understands this business from the inside.
First, the honest filter: this is a strictly in-office role. Not remote, not hybrid. We want you close to the business, the workflows, and the technical leadership — because the hardest problems get solved fastest face to face. If you can only work remotely, this isn't the fit.
Who We're Looking For
Maybe you've kept the books for a repair shop. Maybe you've run the service drive or managed the office. Maybe you've owned the place. You know how a repair order actually flows into an invoice, where the accounting gets messy, how technician pay really works, and exactly where the existing shop-management systems fall short — because you've lived with them.
And somewhere along the way, you got into the technical side. You taught yourself some software, you're comfortable around how systems get built, and lately you've seen what AI tools can do. You don't need to be a career programmer. With modern AI coding tools, the bottleneck is no longer typing code — it's knowing what to build and being able to tell whether it's right. You already know what "right" looks like for this business. That's the rarest and most valuable thing we could hire.
And here's the trait that matters most: the best techs don't stop at the factory test plan. When the trouble code doesn't tell the whole story, they put a scope on it and reason their way to the real fault. We want that exact instinct pointed at software — the drive to think past the procedure and stay locked onto a problem until it's solved. That's worth more to us than any credential.
Why This Matters
We're building a money-movement platform — accounting, payables, payroll, reconciliation. Software like this can look perfect and still be subtly wrong in a way that doesn't surface until month-end close. The person who catches that isn't necessarily the best coder in the room. It's the person who knows the numbers are supposed to balance, who knows what a clean repair-order-to-invoice flow looks like, and who won't accept "it ran without errors" as proof it's correct. If that's you, the AI tools handle the heavy lifting and your judgment becomes the product.
What We're Building
A closed-loop operating system for automotive repair businesses, where every workflow connects to the next. Shop management, estimates, repair orders, invoices, customer and vehicle history, accounts payable, credit-card and bank transactions, document reconciliation, accounting, payroll, technician pay, owner dashboards, and AI-assisted automation throughout.
A repair order should connect to an invoice. An invoice should connect to accounting. A vendor bill should connect to a payment. A payroll decision should connect to the work actually performed. Every important action traceable, every exception reviewable.
How We Work
You'll use AI coding tools (Claude Code and similar) aggressively to build. We don't care whether every line was typed by hand — we care that the system does the right thing, the architecture stays clean, and decisions get documented. You'll break real shop workflows into clear, precise steps, direct the AI to build them, and verify the results against what you know to be correct.
You'll work directly with ownership and technical leadership — no layers of management, no committees, no endless meetings. Some days you'll map a workflow on a whiteboard. Some days you'll write instructions for the AI and check what it built. Some days you'll realize the original plan was wrong and help design a better one. We'll pair you with technical leadership to cover the deep code-level pieces; your job is to make sure we're building the right thing for how shops actually run.
About Us
This is not a startup guessing at the industry from the outside. Our founder has spent over four decades in the automotive repair business and owns repair shops across multiple states. He's already founded software now used by independent shops and major national chains. We understand the workflow, the accounting, and the gaps in today's tools. Now we're building the next platform with AI-assisted development and real operating experience behind it.
You May Be a Strong Fit If You
- Have worked inside automotive repair — bookkeeping, office management, service management, or ownership
- Deeply understand shop workflows, repair-order-to-invoice flow, shop accounting, or technician pay
- Have taught yourself software or technical tools and are comfortable around how systems get built
- Have started using AI tools and seen what they can do
- Notice when numbers don't add up and won't let it slide
- Think in processes and edge cases, communicate directly, and like working deeply
- Think past the procedure and stay on a problem until it's cracked
- Want meaningful responsibility and a real stake in something you help build
You don't need a computer-science degree or years writing code. You need to know this business cold, have genuine technical aptitude, and want to learn to build with AI.
Compensation
Base salary starts at $85,000, with meaningful equity included. We're an early-stage startup, so we'll be direct: the upside is in joining early, owning real problems, and helping build something valuable. We're open to structuring cash and equity to the person.
Benefits: health insurance with low deductibles, plus dental and vision; 401(k) with company match; paid vacation and paid holidays.
How To Apply
No cover letter, no generic application. Tell us:
- Your background in the automotive business — what you did and what systems you worked with
- The technical or software work you've done, however you learned it (tools you've built, automations, anything that shows aptitude)
- Which AI tools you've used, and what you've made with them
- A shop workflow you understand well that you think existing software handles badly — and how you'd fix it
- Anything that shows you can think in systems and spot when something's wrong
We're not looking for the best interviewer or the fanciest resume. We're looking for someone who knows this business and is ready to help build its future.