About the Role
Join the engineering team at an AI-powered industrial supply chain SaaS company, working directly with distributors to deploy software and build product from real customer needs. You will help automate quoting workflows and turn customer insights into tools that support the broader physical economy.
What You'll Do
Own customer deployments from discovery through launch, adapting data ingestion to customer file formats, ERP systems, and workflows.
Meet with operators and translate their needs into product improvements.
Build prototypes, internal tools, and customer-facing workflows, then strengthen the solutions that prove useful.
Develop AI agents and LLM-powered workflows that reduce manual work.
Prepare and deliver product demos, join customer visits, and support pilots through the sales process.
Manage technical customer relationships after launch, help customers get value, and identify further opportunities to improve their workflows.
What We're Looking For
One to five years of full-stack or backend engineering experience, including shipping production software used by real people.
Experience with Python and TypeScript.
A degree in a quantitative field such as computer science, mathematics, physics, or engineering.
Experience presenting technical work to non-technical buyers and working directly with customers in a forward-deployed, solutions, sales engineering, or similar role.
Experience using Claude Code, Cursor, or Codex in engineering work.
Experience building and shipping a project from the ground up is valued, as is familiarity with hardware, procurement, supply chains, ERPs, or legacy integrations.
Strong performance in competitive activities outside engineering, such as sports, math competitions, debate, or music, is also valued.
Compensation & Benefits
Base salary is $150,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California. The team works from the office five days a week.