Founding Engineer | $130k$200k + Equity | Ai Supply Chain (partner Role Via Coffeespace) San Francisco (us)

Company: CoffeeSpace

Location: San Francisco, CA

Posted on: December 06

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

Youll 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

Youre 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 38 years experience or exceptional 01 projects that prove youre dangerous
• Communicate clearly and always close the loop
• Want to build in-person in San Francisco with a tight, high-velocity team

Youre 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.