San Francisco, CA · On-site · Full-time
Compensation: $175,000–$225,000 + competitive equity

About the Company

A San Francisco–based, seed-stage enterprise AI company helping large enterprises move AI from prototype to reliable production. They embed with customers, audit their operations, and build the agents, integrations, and workflows that change how those businesses run — with a core belief that the hardest part of enterprise AI isn't the model, it's deployment, reliability, and trust.

Founded recently · 11–50 people · Industry: AI Tools / Enterprise AI

The Role

Build the production agents that run inside enterprise operations at some of the largest companies in the world. You'll work against audit specs from the forward-deployed engineering team, ship code daily, and integrate with client systems of record. This isn't a slot inside an existing team — the expectation is that you'll be ready to lead a small team within six months.

What you'll be doing

• Build production agents against audit specs handed over from the forward-deployed engineering team
• Ship client-specific deployments against existing systems of record (Salesforce, NetSuite, D365, comparable)
• Own code quality — real software engineering, no AI slop
• Take ownership across systems rather than waiting for someone to write a ticket
• Move toward leading a small team within six months of joining

Tech stack: Salesforce, NetSuite, D365; Claude, Codex, agent frameworks, API loops.

Requirements

• 1-4 years real software engineering, not vibe-coded only
• Top AI-native startup pedigree
• AI-native: built with Claude, Codex, agent frameworks, API loops
• Low ego, high feedback velocity, ships fast
• Ready to lead small team within 6 months
• SF Financial District, 5 days in-person

Green Flags

• Ships fast, with quality, in the interview itself.
• Visibly excited about agent infrastructure problems.
• Clear systems thinking, not just framework recall.
• "In 6 months they'll be running a team" is obvious from minute 10.

Red Flags

• Can't explain what they shipped without a slide.
• Pushes out vibe-coded slop in the interview.
• Won't take direct feedback.
• Doesn't have a strong technical opinion on anything.

Why Join

• Ship to production with a 100% deployment rate — work goes live in real enterprise operations
• Shape product, platform, and company direction
• Compounding impact through pattern-library leverage
• Direct access to operators and business leaders