Dryft builds intelligent systems that automate complex human decisions in manufacturing operations
We’re a small, talent-dense team with modest roots and a love for the physical world - cars, machines, planes. Our team includes graduates from Stanford, Berkeley, CDTM, TUM, winners of Stanford TreeHacks, recipients of Fulbright & Haniel scholarships, and builders of everything from robots and race cars to software with millions of downloads
We’re backed by the founders and leaders behind Amazon, Facebook, Stripe, Applied Intuition, & others; General Catalyst & Neo, and board members of global industrial companies.
Today, we’re already saving customers millions. But this is only the beginning. ERPs ran the physical world for half a century. Dryft is powering the next.
As Founding Fullstack Engineer, you’ll be the brain behind Dryft’s decision intelligence. You’ll build scalable systems that combine agent-based reasoning with mathematical optimization and simulation on top of large-scale industrial data.
Like building scalable, interpretable, data-driven agents from all perspectives - algorithms, architecture and infrastructure.
Have a strong product sense and enjoy working directly with customers daily
Have shipped production code end-to-end, are strong in backend & infra and comfortable shipping basic frontend features.
Have built data-intensive, multi-tenant production systems with Redis, Postgres, and orchestration frameworks. Clickhouse experience is a plus.
Are ready to work onsite in SF (we support relocation & visa)
FE (TypeScript): React, Chakra UI v3, TanStack Router, TanStack Query, Vite
BE (Python): FastAPI with Pydantic v2, SQLModel, Postgres with pgvector, dagster
AI: Pydantic AI, Langfuse
Dryft builds artificial intelligence that mimics, optimizes, and automates complex human decisions in manufacturing operations.
We use a combination of AI agents & mathematical optimization to build what comes after ERPs: systems that think, act, and adapt autonomously across manufacturing operations.
