Founding Engineer, AI-Driven Hardware Procurement

Syntro; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Syntro is building the first agentic procurement platform for modern hardware manufacturing. We're looking for a founding engineer to help lay the technical foundation, decide how major parts work, and build systems that scale from prototype to production.

You'll own end-to-end systems across the stack, turn emails, quotes, ERP data into actionable context, and design reliable agents that can operate with uncertainty.

Qualifications

• Exceptional engineer able to move across the stack.
• Designed and shipped complex systems from zero to one.
• Strong judgment on when to build properly vs ship quickly.
• Focus on reliability, data correctness, observability, and failure modes.
• Turn ambiguous company problems into working systems.

Responsibilities

• Own systems end to end: Design, build, ship, and operate major parts of Syntro across the stack.
• Build the intelligence layer: Turn emails, parts, BOMs, quotes, POs, supplier data, ERP records, and external information into structured context our product and agents can reason over.
• Build reliable agents: Design systems that can reason and take action while handling uncertainty, failures, permissions, and human intervention.
• Make foundational technical decisions: Choose architectures and abstractions that let us move quickly today without preventing us from scaling tomorrow.
• Raise the engineering bar: Establish how we test, deploy, observe, debug, and build software as the team grows.
• Stay close to customers: Understand how procurement actually works and use that context to make better technical and product decisions.

Skills

Cross-stack engineering

End-to-end systems

Reliability & observability

Problem solving in ambiguity

Job description

Syntro is building the first agentic procurement platform for modern hardware manufacturing. We're looking for a founding engineer to help lay the technical foundation, decide how major parts work, and build systems that scale from prototype to production.

You'll own end-to-end systems across the stack, turn emails, quotes, ERP data into actionable context, and design reliable agents that can operate with uncertainty.