Partly develops digital infrastructure for the automotive parts industry, providing software, APIs, and AI models that support parts identification, procurement, and supply chain operations. Backed by AirTree Ventures.
About the role
You’re a builder: an experienced engineer who wants to understand the customer’s problem, work out a useful solution, and build it yourself. You’re happiest close to customers and hands-on in the code, turning what you learn into software that improves how people work. Strong engineering is table stakes. Your experience gives you the judgment to make sound technical decisions, move quickly, and take solutions through to production autonomously. You use that independence to focus on customer value. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Founder, founding engineer, or early startup work with substantial personal ownership of customer problems and technical delivery. What you owned, learned, and delivered matters more than the company’s eventual size or success
- Operational or workflow-heavy B2B products, marketplaces, or systems serving multiple types of user
- AI-assisted or agent-driven features in production, especially where human oversight and trust matter
- Evidence that you changed or abandoned something you believed in because customer feedback or results showed a better path
- Experience in automotive, repair, parts, or insurance is useful, as is familiarity with Rust, which is part of our stack. Neither is required
More about this role
🚀 Our Story
Partly is building the infrastructure for anyone to repair anything. We believe everything built should be repairable, and we're building frontier AI to put repair knowledge to work, starting with the $2tn automotive market.
Our model, Interpreter, is the first AI purpose-built to understand repair. Trained on 1M+ car models and 1B+ parts, it reads a repair job the way an estimator does, resolves damage into the exact purchasable part, and shows its reasoning with a confidence score. On real production jobs, an estimator working with Interpreter reaches 98.8% parts-list accuracy, against 92.1% with today's tools. It powers PartlyRepair, used by collision shops, workshops and suppliers to take the admin off the job; PartlyLabs, the agentic infrastructure enterprises use to deploy Interpreter across their own workflows; and a developer API.
Founded by ex-Rocket Lab engineers, we've raised a $50m Series B led by DST Global (Anthropic, Airbnb, Meta, TikTok, Spotify), with Blackbird Ventures, WNDR, Activant Capital, Icehouse Ventures, Square Peg, Airtree and Ecliptic Venture Capital. Hear it from the team: Why Partly exists and AI at Partly .
You’re a builder: an...
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