Logistics providers and shippers want to capitalize on generative AI to drive business efficiency. CoPallet aims to be the first end-to-end service of AI agents and logistics experts to automate their back-office operations, with the goal of becoming a $10 billion tech company in logistics.
Requirements
- Backend-leaning engineer with 0→1 platform experience and scaling know-how
- Comfortable with enterprise data and growing user bases (100s → 1000s)
- Skilled in APIs, data pipelines, and both new + legacy infrastructure
- Node.js
- TypeScript
- GraphQL
Responsibilities
- Build and maintain the core infrastructure for our AI agent platform
- Design and implement efficient, scalable data pipelines
- Develop backend systems that can scale from hundreds to millions of users
- Collaborate closely with the engineering team on technical architecture and system design
- Work directly with OpenAI frameworks to power our AI capabilities
- Help shape foundational engineering practices and decisions as an early team member
- Manage end-to-end large scale AI infrastructure projects
Other
- Thrives in fast-paced startup environments
- Excited to collaborate in person 3–4x/week in SF’s Financial District (flexible)
- You own the outcome: taking full responsibility to deliver impact end to end, no excuses.
- You move fast but with quality: shipping quickly while maintaining sustainable craftsmanship.
- You experiment relentlessly: embrace a growth mindset, learn from failures, and iterate faster.
