AI-Native Product Engineer (+ Equity) at seed-stage fintech infrastructure startup
Jack & Jill · New York, United States · 2 days ago
HybridEngineeringFull-time
About the role
Join a fast-moving team building a unified data layer for complex financial reporting. As an AI-native engineer, you will leverage agentic development tools to ship features across the full stack while maintaining rigorous data integrity. You will own the judgment calls that turn AI-generated code into a trusted foundation for institutional decision-making.
Why this role is remarkable
- Pioneer an AI-native engineering workflow, running multiple agents in parallel to achieve throughput far beyond traditional development cycles.
- Work at a seed-stage company with real customers and high financial stakes where data accuracy is the primary competitive moat.
- Join a high-ownership environment where you collaborate directly with leadership to shape the core architecture of an AI-first fintech organization.
What you will do
- Build and ship complex product modules and UI components using agentic development tools like Claude Code and a purpose-built skills library.
- Manage multiple parallel agent workstreams, conducting meticulous diff reviews to ensure every deploy meets strict behavioral testing standards.
- Maintain a clean boundary between the product surface area and core calculation logic by collaborating closely with internal data engineering teams.
The ideal candidate
- 4+ years of full-stack experience (React/TypeScript and Python) with a track record of shipping polished, user-centric product surfaces.
- Proven experience using agentic coding tools like Claude Code or Cursor as a primary development workflow to ship production-ready features.
- A quality-first mindset characterized by assuming AI agents make mistakes and proactively writing behavioral tests to prevent regression risks.
Location
New York, USA