Product Engineer
About The Position
AI is walking, driving and flying into the physical world: humanoids, robotaxis, drones and a new class of autonomous machines. Each machine is built from thousands of parts. Sourcing just one still means trade shows, cold calls and endless scrolling on distributor sites. Supplier quotes land in a dozen formats, get re-keyed by hand into spreadsheets, and 100+ email threads follow just to confirm whether a part lands on time. It's 2026, and the most important machines of the next decade are still being sourced the way they were before the internet. Syntro is building the first agentic procurement platform purpose-built for the realities of modern hardware manufacturing. We give manufacturers the ability to discover, select, and manage suppliers across the entire hardware lifecycle, from first prototype to production, at the speed and intelligence of AI. We're an all-Stanford team that's experienced this problem firsthand at Apple, Dell, and Peloton. We're backed by Pear VC and Accel, alongside angels including Diane Greene (Founder, VMware) and Jeff Epstein (former CFO, Oracle).
Requirements
- Exceptional engineer, particularly with TypeScript and React, with strong product and design instincts.
- Genuinely enjoy talking to customers and understanding how they work.
- Can turn an ambiguous customer problem into a simple product and build it yourself.
- Have taken important products or features from zero to one.
- Would rather determine what needs to exist than take tickets from a queue.
Nice To Haves
- Founded a company, built at the earliest stages of one, worked on procurement/supply chain/manufacturing software, or built products on top of AI systems.
Responsibilities
- Own customer problems end to end: Go from customer conversation → product decision → implementation → adoption.
- Build across the stack: Own core product surfaces across frontend and backend in [Next.js, Node, Postgres, etc.].
- Create visibility across hardware procurement: Connect supplier conversations, parts, quotes, POs, BOMs, and other workflows so teams know what's happening without reconstructing it manually.
- Build intelligent workflows: Combine internal context with external supplier and market data to surface risks, opportunities, and what should happen next.
- Define how humans and agents work together: Decide when Syntro should surface information, recommend an action, ask for approval, or execute autonomously.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
