# Product Engineer at Trellis AI > Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aruntrellis%3A3b939295-3d73-496b-aee8-2e35cfc6804b (read 2026-11-06). ## Facts (observed) - Company: [Trellis AI](https://alderhq.app/companies/trellis-ai) - Location text: San Francisco - Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco") - Posted: 2026-10-27 (9 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-03 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/runtrellis/3b939295-3d73-496b-aee8-2e35cfc6804b - Skills listed (inferred): TypeScript, React, Next.js, Python ## Pay and sponsorship - Posted pay: $172k–$196k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 1630): p25 $161k, median $200k, p75 $242k ## Description (the employer's text) ### WHY TRELLIS AI? We're building a full service platform to manage patient care. From document intake, processing insurance benefits and integrating with external healthcare systems, our purpose-built AI agents help process billions of dollars worth of therapies annually with patients in all fifty states. Think of us as the Stripe of healthcare billing and reimbursements. Trellis AI is a spinout from Stanford AI Lab and is backed by leading investors including YC, General Catalyst, Telesoft Partners, and executives at Google and Salesforce. ### WHAT YOU'LL DO Design and develop AI agents, including computer-use agents, to interact with other systems Collaborate closely with a cross functional team to deliver new customer facing features end-to-end Build and establish new platform primitives and services upon our durable execution workflows Implement scalable and performant API services to be used by both internal and external services ### WHAT YOU'LL BRING Experience building apps end-to-end with our tech stack and related technologies (Typescript, Python, Nextjs, React, Temporal). Full stack experience preferred, but not required. Strong collaboration skills Ability to move fast and iterate quickly Willingness to learn and discover new things Out of the box thinker (and know when to stay in the box!) ### OUR ENGINEERING TEAM'S ETHOS Engineering is core to Trellis. Almost everyone has a technical background and contributes to the product in one way or another. Trellis engineers have the agency and autonomy to architect, build, and ship features end-to-end. You'll work across the stack and be able to explore and build new things on a daily basis. ### Compensation & Benefits The salary range above is our good-faith estimate. Your final level and base salary will reflect what you bring: your skills, your experience, and how much ownership you’re ready to take on. Base pay is only one part of the package. Every full-time teammate also gets meaningful equity, because the people building Trellis should share in what it becomes. We are committed to keeping you healthy and supported so you can do the best work of your career. Here are some of the benefits & perks we offer: Comprehensive medical, dental, and vision coverage Flexible PTO & Sick Time Daily meals in the office Team offsites ### Equal Opportunity at Trellis At Trellis, we’re building AI agents that help patients get life-saving medicine faster. The patients and providers we serve come from every background, and our team should too. Trellis is an Equal Opportunity Employer. We hire based on talent, curiosity, and drive, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If you need an accommodation at any point in our hiring process, let your recruiter know and we’ll take care of it. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aruntrellis%3A3b939295-3d73-496b-aee8-2e35cfc6804b and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.