Founding Engineer | 130K–200K + Equity | AI × Supply Chain

San Francisco 30 days agoFull-time External
Negotiable
This job posting has expired and is no longer accepting applications.
About CoffeeSpace Partner Roles This is a CoffeeSpace Partner Role — we work with select early-stage founders building ambitious, category-defining companies. We help them find their foundational hires through a mix of deep search, outbound, and semantic matching. This particular role is with an early-stage AI startup in San Francisco building autonomous integration agents for the global supply chain. The Company - In AI x Supply Chain This company builds AI agents that automate B2B integrations across logistics, warehousing, and retail — transforming months of manual work into intelligent, autonomous workflows. Today, supply chain integrations are slow and messy: analyst weeks, custom APIs, spreadsheet wrangling, brittle middleware, and long onboarding cycles. Their LLM-powered integration agents replace all of that by: • Learning and mapping systems autonomously • Monitoring pipelines and fixing failures in real time • Reducing engineering effort with every new deployment The outcome: 10× faster, 10× cheaper integrations — without armies of consultants or custom one-off middleware. The company has: • Raised $1.6M from top-tier early-stage investors • Multiple six-figure customer contracts already closed • Production deployments live today, with strong demand from logistics tech vendors If you want to build AI systems that automate real, messy, high-impact problems at the core of the global economy — this is that opportunity. A rare chance to join early, ship fast, and shape a new AI category. The Founder The founding team brings a mix of deep operational expertise and strong enterprise execution across logistics, supply chain, and integrations. Their experience includes: • Amazon — operating at scale in complex supply chain and warehouse environments • KPMG — delivering enterprise-grade audit, controls, and systems rigor • Leading expansion at a fast-growing logistics startup, building warehouse networks from the ground up • High-agency, high-velocity execution in unsexy, operationally intense industries ripe for AI transformation The company sits at the intersection of domain depth × AI-native integration × rigorous execution. The Role — Founding Engineer You'll be the first technical hire — building the core AI integration agents that automate the global supply chain. This role works directly with the founders and touches everything: frontend, backend, infra, and LLM-powered orchestration. You will architect, ship, and iterate fast alongside real customers. You will • Own the full product stack: backend (Node/TS), frontend (React), infra (AWS/Vercel), and internal tooling • Build core agentic systems: autonomous system mapping, retries, queues, monitoring, exception pipelines • Design and scale LLM pipelines + orchestration flows • Work directly with founders on architecture, UX flows, and customer needs • Dive into anything that moves the product forward — integrations, pipelines, infra, agents, or ops • Own problems end-to-end without waiting for permission or strict specs You're right if you • Work fast, take extreme ownership, and thrive in ambiguity • Move comfortably between frontend, backend, infra, and LLM tooling • Prefer shipping over debating; progress over perfection • Have 3–8 years experience or exceptional 0→1 projects that prove you're dangerous • Communicate clearly and always close the loop • Want to build in-person in San Francisco with a tight, high-velocity team You're wrong if you • Need hand-holding or rigid structure to start • Move slowly, over-intellectualize, or avoid ambiguity • See yourself as "just backend," "just frontend," or "just infra" • Want big-company pace, guardrails, or comfort Compensation Base Salary: $130,000–$200,000 Equity: 1.5%–3.0% equity US Visa Support: O-1 Application Support We target a competitive total compensation package (base + equity) aligned with early-stage founding roles. Equity packages offer significant long-term upside and will be discussed during the interview process.