At Toma, we’re building something unorthodox—a fully AI-driven platform reshaping how 18,000 car dealerships operate nationwide.

Our small team (from ex-Scale AI/Uber founders who’ve never owned cars, to a pro Valorant player, robotics champion, motocross racer, and more) spent months living and breathing dealerships to learn the ropes.

About Toma

At Toma, we’re building something unorthodox—a fully AI-driven workforce for the $2T automotive space.

Our small team (from Scale AI/Uber, Braze, Columbia, Berkeley, and Waterloo) spent months living and breathing dealerships to learn the ropes.

We’ve built an in-house voice AI and agentic workflow orchestration platform, grown $100k ARR MoM purely through word-of-mouth, and raised capital from the best of the best investors in Silicon Valley on our way to create the world’s first “ghost dealerships.”

About this Role

We need a Product Engineer with experience building large-scale, high-concurrency AI applications at prominent (FAANG, unicorns, top startups) tech companies to build drop-in replacements for human automotive dealership employees, nothing crazy.

Responsibilities

• Scoping complex solutions for applications that don’t really exist yet, like legacy dealership computer operators

• Architecting, building, deploying, and helping maintain said solutions

• Leading a team to deliver said solutions on a case-by-case basis

• Traveling around the country with the team and doing discovery on both problems and solutions

• Partnering with external vendors to integrate their tools into Toma

• Optimizing our high performance, realtime applications

Required Qualifications

• A track record of excellence throughout your career

• Exceptional coding skills and the ability to ship high-quality code daily

• Strong problem ownership and drive

• Experience in planning, architecting, building, deploying, and maintaining applications at scale

• Passion and guts for talking to (and getting roasted by) customers

• Great understanding of operating systems and distributed systems

Preferred Qualifications

• Proficiency in TypeScript, Bun, low-level Node.js, T3 Stack (Next.js, React, Prisma, PostgreSQL, NextAuth, tRPC), Python

• Experience with Figma and using best design practices

• Experience in building LLM applications

• Experience architecting high concurrency and throughput systems

• Aptitude for prompt engineering

• Former founding or critical leadership experience

Benefits

• Free lunch in the office

• Free gym membership

• Free health and dental insurance

• Free trips around the country for customer visits

We've built our ultra-low latency voice, video, and multimodal APIs in-house and leverage TypeScript and Bun heavily, even for inference.