Full-Stack Engineer

The posting, as Zoomlogi wrote it

WHO WE ARE

Nobody calls a logistics coordinator to say things went well. They call because a $100,000 shipment of clinical trial medication has been sitting in customs for three days and nobody can explain why. Because a biologic therapy arrived outside its temperature window and the treatment has to start over. Because the patient is waiting and nobody in the supply chain can give a straight answer about the shipment’s location.

This is the problem we’re solving. We’re a year in, tracking over 500,000 shipments (including for Fortune 100 customers), and we’ve already cut manual ops effort in half. General Catalyst, Eclipse Ventures, and Virtue led the seed. The angels are all former or current operators who've spent careers tracking down shipments themselves, such as Head of Logistics at Bristol Myers Squibb, CMO of Cardinal Health, President of Novo Nordisk US, President of UPS Air, and CEO of Uber Freight. They know the market is as large as the problem is broken.

What we’ve built works, and the most interesting problems are still ahead of us.

• Olivier, Co-founder & CEO

THE ROLE

This is a full-stack engineering role at a company that’s already in production, solving real-world problems with AI. The code you write will run on real shipments, for real customers, from day one.

Every engineer at ZoomLogi talks directly to customers. We believe engineers who’ve heard the problem firsthand make better product decisions than engineers who’ve read about it. You’ll be in customer calls regularly, because what you hear there will inform what you build.

The work spans the full stack. You’ll own meaningful product areas from idea to release and back again, working closely with the founding team. The engineer who joined last week was on a customer call and building AI features before the end of their first week.

WHAT YOU’LL BUILD

• The data ingestion and prediction layer. The platform ingests a continuous stream from carriers, forwarders, IoT sensors, weather, and flight data, stitched into a unified low-latency picture of every active shipment. We continuously scan for risk using ML and the mosaic view of each shipment to flag issues before they cascade. Getting detection to work reliably across hundreds of carriers, lanes, and sensor types is ongoing work, and the cost of a missed signal is measured in patient outcomes, not dropped requests.
• The AI workflow engine. Once a risk is detected, AI voice and text agents embedded in operational workflows prevent or resolve issues end to end, with human handoff when needed. Healthcare logistics requires every AI action to be inspectable and recorded in an immutable audit trail (HIPAA, GDPR, SOC 2). The hard part is the long tail: a carrier rep with a thick accent, a customs query that touches two playbooks, a status call that needs yesterday's exception as context. Closing that gap reliably, at low latency, with every action auditable, is most of the engineering work.
• Reliability.

[…]
time. Every engineer here is in customer calls. The product decisions that come out of those calls are the ones worth making.

This role is probably not right for you if you prefer to go deep on one hard technical problem and be left alone. The surface area here is wide: workflow engine, detection layer, AI voice features, integrations, reliability. If switching contexts drains you, this will too.

WHAT WE’RE LOOKING FOR

You have 2-7 years of professional engineering experience. You're genuinely full-stack: comfortable across backend, frontend, and APIs. You have production experience, you’ve shipped software with real users, with tests, code reviews, and CI/CD. You’re strong in TypeScript/React and Python, or close enough to ramp quickly. You understand data modeling and API design. You’re based in San Francisco or Chicago and excited about being in the office.

THE TEAM

Founded by a team of operators with deep experience in Logistics Tech & Healthcare (Ex-Uber Freight GM + Airspace CRO), joined by early engineers from the likes of Uber, Hippocratic AI, Assort Health and others. We’re here to solve a real-world problem at scale, by making every critical shipment visible, predictable, and on time, so potentially life-saving therapies reliably reach the people who need them.

THE STACK

Python, React/TypeScript, Kafka, AWS. We do a lot of low-fidelity prototyping, Google Slides included. LLM infrastructure and orchestration are increasingly central to how we build.

THE INTERVIEW PROCESS

We move quickly.

• Intro call: role fit, motivation, what you’ve shipped
• Technical screen: a realistic problem close to the actual work
• Onsite: we’ll build something together
• References → Offer

COMPENSATION & LOGISTICS

• Base salary: $180K-$240K
• Equity: Above market (4-year vesting, 1-year cliff)
• Benefits: Best-in-class medical and dental (100% self, 50% dependents)
• Location: San Francisco HQ (Mission St). Hybrid, 4 days/week in office.