We are building a central operating system for supply chain management and demand
planning for direct-to-consumer (DTC) brands. The platform spans inventory,
forecasting, shipments/imports, and a computational planning core, along with finance features that give clients end-to-end visibility into their supply chain.
You'll join early and work across the stack shipping features end-to-end, shaping the
architecture as we grow, and using modern AI coding tools to move fast without
sacrificing quality.
Since we operate a multi-tenant system, you'll treat data isolation
and correctness as first-class concerns.
What You'll Do
• Build and ship full-stack features across backend (Python/Django) and
frontend (React).
• Design and evolve REST APIs, data models, and background workflows.
• Write async and scheduled tasks using Celery, backed by Redis.
• Model and optimize relational data in PostgreSQL, with strict attention to
multi-tenant data isolation.
• Collaborate on architecture decisions as we scale from a monolith toward
services.
• Use AI coding agents (e.g. Claude Code, Cursor, Copilot) effectively in
day-to-day workflow — writing, reviewing, and iterating on code with these tools.
• Contribute to code reviews, testing, and engineering standards.
What We're Looking For
• 2–3 years of professional full-stack development experience.
• Solid backend experience with Python and Django (or a comparable
framework, with willingness to work in Django).
• Frontend experience with React and modern JavaScript/TypeScript.
• Working knowledge of PostgreSQL — schema design, queries, and
performance basics.
• Familiarity with Redis and Celery (or similar caching and async task tooling).
• Hands-on experience using AI coding assistants/agents as part of a real
development workflow.
• Strong sense of ownership, attention to correctness, and clear communication.
Nice to Have
• Experience with multi-tenant SaaS architectures and tenant data isolation
patterns.
• Exposure to supply chain, ERP, logistics, e-commerce, or fintech/finance
domains.
• Familiarity with AI/ML workflows (forecasting, planning models) or integrating
ML into applications.
• Experience with CI/CD, containerization (Docker), and cloud deployment.
• Testing discipline (pytest, unit/integration testing)
Why Join Us
• Early-stage impact: your work directly shapes the product and the architecture.
• Broad scope across a real, complex domain rather than narrow, repetitive tasks.