Dealership Accelerator is hiring a Senior Software Engineer
The job
You'll help build and scale a production AI platform that car dealerships use every day. You own features end to end: you decide how something should work, build it, test it, ship it, and watch it run in production. You also work directly with clients. When a dealer needs something, you get on the call and see it through.
We work in TypeScript and React, Node, Python, SQL and AWS. We use AI tools heavily, so the job is as much planning and reviewing as it is writing.
What you'll do
- Design, build and ship features end to end across front end, back end and infrastructure.
- Design APIs and data models for a system that runs around the clock.
- Write and maintain tests, and own the quality of what you ship.
- Deploy and operate your own services, including monitoring and debugging in production.
- Work with clients on Zoom and phone calls, and explain technical things in plain language.
- Help shape architecture and technical direction as we grow.
Who we are
Dealership Accelerator builds an AI BDC that works every lead at a car dealership, from first contact to closed deal, 24/7. 500+ dealers have worked with us. 8-figure revenue, bootstrapped, zero outside funding, and growing.


What winning looks like
- 30 days: you've shipped to production, worked a client's question from first call to resolution, and can explain how the product works end to end.
- 60 days: you own a feature from plan to production, with tests. Clients you've worked with ask for you by name.
- 90 days: you've shipped a feature dealers use every day, and you're making architecture calls with the rest of engineering.
Pay and logistics
CAD $140,000 to $190,000 a year, base salary. Full-time employee. Remote, anywhere in Canada. Start as soon as you're available. This posting is for an existing vacancy.
What you need
- 5+ years of experience building and supporting production-level code that real customers depend on.
- You plan the work, and you check the work. You turn a fuzzy problem into a clear plan, direct AI tools like Claude to execute it, and review what comes back with a skeptical eye. You catch the subtle bug, the missing edge case, and the confident wrong answer before they reach a client.
- A strong grasp of CS fundamentals, relational databases, and API design, so you can tell good output from plausible output.
- Excellent debugging skills. You enjoy chasing a problem to its actual root cause.
How you work
- Intellectual honesty. You say "I don't know" and "I was wrong" out loud. You keep what you've verified separate from what you assume, and you'd rather surface a problem than look good.
- A high bar for quality. "It runs" isn't the same as "it's right." You test what you ship, sweat the details, and don't call something done until you'd stake your name on it in front of a client.
- Clear communication. You explain technical decisions in plain language, keep clients informed and confident, and write things down so nobody has to ask twice.
- A team player. We win together. You share credit, ask for help early, and jump in wherever you're needed.
- Extreme ownership. What you ship is yours: the follow-up, the fix if it needs one, and the change that makes it better next time. No excuses, no finger-pointing.
- Unreasonable hospitality. You go further for clients and teammates than they'd ever expect, because making someone's day is part of the job.
Who this isn't for
- If you accept AI output without reading it closely.
- If you want a spec handed to you.
- If talking to clients sounds like someone else's job.
- If "it works on my machine" is ever done, please don't apply.
How we hire
- 1Two-minute video introduction. A short video introducing yourself and a little about your background.
- 2Behavioral interview. A conversation with the hiring manager.
- 3Paid practical test: use AI to build something a real client could use. CAD $75 an hour, up to 5 hours.
- 4Technical interview with the CTO. Walk us through how you built your practical test: the plan, what you checked, and the tradeoffs you made.
AI helps us review applications. A person reviews every one and makes every decision; nothing is rejected automatically. Accommodations are available at any stage. Just ask: contact@dealershipaccelerator.io.
Dealership Accelerator is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.




