Staff Software Engineer (Product) at Toma (W24)
$220K - $300K  •  0.30% - 0.80%
AI Workforce for Automotive Dealerships
Potrero Hill, San Francisco, CA
Full-time
US citizen/visa only
3+ years
About Toma

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 the role

Why Toma

Toma is the automotive industry’s leading agentic AI workforce, starting with voice AI agents for sales and service call operations. Our voice AI product, built entirely in-house with cutting-edge large language models (LLMs), reaches millions of vehicle owners each month. As the darling startup in the automotive space, we have recently raised our Series A with Andreessen Horowitz and Y Combinator, and are rapidly expanding our customer base.

We’re a small team of former founders, athletes, and leaders from Scale AI, Uber, Braze, Microsoft, Amazon, Columbia, and acquired companies in the automotive industry who simply love winning. Autonomy is not recommended, but a table-stakes requirement, and we work very hard to maintain our lead. Our team is hybrid, with our headquarters in a brand-new two-story office in Potrero Hill, San Francisco.

Our team and product remain lean because we are incredibly customer-oriented: we frequently travel the country to meet with and learn from our customers. To this day, most of our customers have been referred to us through word of mouth. With our unique advantage and fast momentum in this $2 trillion market, we are poised to take Toma to the next level.

About this Role

We are seeking a Staff Software Engineer to join our team as one of the most senior engineers, with experience in scaling infrastructure for high-growth companies. This role will involve owning our infrastructure, modeling deployments, vendor relationships, and compliance initiatives.

You will report directly to the CTO and be provided the opportunity to shape the roadmap, make critical technical decisions, and mentor junior engineers.

Our engineering team works hybrid in San Francisco.

Responsibilities

  • Scoping complex solutions for applications that don’t 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

  • Excellent 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 in architecting high-concurrency and throughput systems

  • Aptitude for prompt engineering

  • Former founding or critical leadership experience

Don’t think you meet all the qualifications? Apply anyway. We’d love to hear what excites you about us, and we may have a role that's a good fit for you.

Benefits

  • Meaningful equity

  • Free lunch and dinner in the office

  • Free health and dental insurance

  • Generous travel and expense policy

  • Monthly $200 wellness benefit

  • The most fun you'll ever have in a tech role

How We Hire

  1. Intro Chat (30 min)

  2. Coding Screen (1 hr)

  3. Virtual/In-Person Onsite (3 hours)

  4. Offer

Technology

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

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