Forward Deployed Engineer
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Role details
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Job description
This is a Forward Deployed Engineering role at a company thatβs already in production. Youβll work directly with customers to deploy, configure, integrate, and roll out ZoomLogi across their operations, and youβll write code that runs on real shipments from day one.
As our second Founding FDE, youβll own implementations end to end: technical onboarding, data integration, troubleshooting, and ongoing optimization. Youβre the critical feedback loop between customers and engineering, the person who hears the problem in a customerβs warehouse and turns it into product. Beyond deployment, youβll ship features into the core platform alongside the engineering team. And youβll carry GTM impact, helping identify opportunities and drive deals to close., * Own implementations end to end. From the first technical onboarding call to a customer running ZoomLogi in production, you own it. Data integration, configuration, sensor and carrier setup, workflow design against each customerβs SOPs, troubleshooting, and the ongoing optimization that keeps a deployment healthy. When something breaks at 9pm before a Fortune 100 go-live, youβre the one who gets it live.
- Integrate against the real world. The platform connects to 50+ external systems: carriers, IoT sensors, forwarders, telematics, weather, flight data, customer ERPs. Most donβt have clean APIs. Some claim a shipment is delivered while the GPS shows it still in transit. Some go silent without warning. Every new customer brings two or three of their own. Youβll build integrations that hold up against that messiness and feed patterns back into a framework that lets the next one ship in days.
- Ship code into the core platform. This is not a configuration-only role. Youβll contribute features and improvements across our Python backend and TypeScript/React frontend, alongside engineering. What you learn in a deployment often becomes the thing you build the following week.
- Close the feedback loop. Youβll be in customer calls constantly, because what you hear there is what should get built. You translate real-world operational complexity into product solutions, and youβre the voice in engineering planning that says βhereβs what customers actually need.β
- Carry GTM impact. Youβll help identify opportunities inside accounts and drive deals to close. Technical credibility in front of a prospect is often what moves a deal, and youβll bring it.
- Show up on site. Some deployments need you in the room. Expect to travel up to roughly 30% of the time to be on a customerβs floor, build alongside their ops team, and run demos in the environment where the product actually has to work., * You have a specific recent example of something you deployed, owned, and got working for a real customer. And you care about what happens after the kickoff call.
- Youβre comfortable with ambiguity. The most interesting problems here donβt come with detailed specs: you hear something from a customer, you figure out what to build or configure, and you do it. If you prefer a PM and a solutions architect to define the work before you start, this role will be frustrating for you.
- You find the domain genuinely interesting. The compliance constraints, the quality/logistics tension, the fact that what you deploy is moving medication to real patients: these should feel like compelling design constraints, not obstacles. An engineer who finds regulated industries tedious wonβt do their best work here.
- You like customers. Not tolerate them, like them. The product and commercial decisions that come out of being in the room with an ops team are the ones worth making, and youβd rather be in that room than shielded from it.
- Youβre honest about what you donβt know. We debate hard, change our minds, and challenge each other, but always with the assumption that everyone is trying to get it right., 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. Weβre 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.
Requirements
You have 2-10 years of professional experience as a forward deployed engineer, full-stack engineer, solutions/implementation engineer, or in a similar role where youβve owned customer-facing technical work. Youβre genuinely full-stack: comfortable across backend, frontend, and APIs, and able to ship production code on a small senior team. Youβve built 0-1 products and youβre comfortable with the ambiguity that comes with them. Youβre strong in TypeScript/React and Python, or close enough to ramp quickly. You understand data modeling and API design, and youβve done real integration work (APIs, ETL, webhooks, file feeds) and debugged it in production. Youβre comfortable running technical onboarding and scoping integrations directly with customers. Youβre based in San Francisco or Chicago and excited about being in the office.
About the company
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 shipmentβs location.
This is the problem weβre solving. Weβre a year in, tracking over 500,000 shipments (including for Fortune 100 customers), and weβve already cut manual ops effort in half. General Catalyst, Eclipse Ventures, and Virtue led the seed. The angels are all former or current operators whoβve 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 weβve built works, and the most interesting problems are still ahead of us.
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