Software Engineer, Forward-Deployed

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 the space to learn the ropes. We're building the AI platform for underserved industries. LLM usage has seen a meteoric rise in the past year, but there is still a significant gap between agentic innovation and its use in the real world. This is especially true for underserved industries like automotive and healthcare, where outdated systems persist due to barriers to entry, legacy software, and high-stakes consequences of hallucinations and failure. Here at Toma (YC W24), we are bridging this gap by providing a customer-centric platform to deploy and monitor AI agents, even for non-technical users. We recently raised a $17M Series A from a16z and are building the future of human-AI interactions, starting in the automotive industry. Our Team We’re assembling a team of Avengers: engineers, product managers, former founders, athletes, and leaders from Scale AI, Uber, Braze, Microsoft, Amazon, and more. We consider everyone regardless of their backgrounds or identities. Learn more about us here. This role is in-person in our SF office, 5 days a week. About this Role We are seeking an experienced Software Engineer to join our engineering team, with experience talking to customers, building integrations with third-party platforms, and architecting custom use-cases for our customers. You will report directly to the CTO. What you will do Act as a bridge between operations and engineering Be on the frontlines of our support queue, constantly improving the product Develop hardened integrations with third-party providers Create net-new AI features Preferred Qualifications Experience in TypeScript, low-level Node.js (Bun), T3 Stack (Next.js, React, Prisma, PostgreSQL, NextAuth, tRPC) Strong utilization of LLMs and familiarity with prompt engineering Desire to continuously learn 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 Competitive salary with meaningful equity Free health, dental, and vision insurance Free in-office lunch and dinners Monthly $200 wellness benefit Unlimited PTO We've built our ultra-low latency voice, video, and multimodal APIs in-house and leverage TypeScript and Bun heavily, even for inference.