JOB-1642
A well-funded early-stage startup, led by people who previously held senior roles at a procurement-software company, is building AI systems that help large enterprises control what they spend. The problems are data-heavy and unglamorous in the best way: messy inputs, huge volumes and results that show up directly in a customer’s bottom line.
Scope
- Build and ship complete product features across the stack as one of the first engineers on the team
- Tackle large-scale data challenges, continually checking what enterprises agreed to pay against what they actually paid
- Decide on product direction and technical approach, steering where the company heads from day one
- Talk directly with large enterprise customers in sectors like consumer goods, retail and healthcare to understand and solve their problems
- Contribute to LLM-based systems that produce major savings for big organizations
About you
- Two to eight years of full-stack or backend product engineering, with real products shipped end to end
- At least a year of full-time work at a recognized technology company or a venture-backed startup
- B2B product experience; firmware, hardware or consumer-only backgrounds are a weaker fit
- Experience with modern LLM systems, evaluation or frameworks is a plus
- Enjoyment in working with enterprise customers
- Energy for zero-to-one building, ideally with a future founder in mind
On-site in the San Francisco Bay Area. Visa transfers considered.
