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ZoomLogi
Actively Hiring
Redefine visibility in pharma logistics1-10 Employees
  • Growing fast
    Showed strong hiring growth in the past month

Jobs at ZoomLogi

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Engineering

Full-Stack Engineer

NewPosted 1 week ago

Full-Stack Engineer

  • Olivier, Co-founder & CEO
  • 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.
Engineering

Forward Deployed Engineer (FDE)

NewPosted 1 week ago

Forward Deployed Engineer (FDE)

  • 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 customer’s SOPs, troubleshooting, and the ongoing optimization that keeps a deployment healthy. When something breaks at 9pm before a Fortune 100 go-live, you’re the one who gets it live.
Designer

Founding Product Designer

NewPosted 4 weeks ago

Founding Product Designer

  • The control tower. This is the core surface: multi-leg shipments, real-time status, exceptions, hundreds of shipments moving at once. An operator opens it to find the one thing that's wrong before it becomes the delay that restarts a patient's therapy. Making that legible, when every shipment has a dozen states and the screen is dense by necessity, is the whole job. Clarity here is measured in seconds saved on a call, not pixels.
Engineering

Forward Deployed Engineer (FDE)

NewPosted 2 months ago

Forward Deployed Engineer (FDE)

  • 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 customer’s SOPs, troubleshooting, and the ongoing optimization that keeps a deployment healthy. When something breaks at 9pm before a Fortune 100 go-live, you’re the one who gets it live.
Engineering

Founding Data Scientist

NewPosted 2 months ago

Founding Data Scientist

  • Olivier, Co-founder & CEO
  • The risk and prediction models. The platform ingests a continuous stream from carriers, forwarders, IoT sensors, weather, and flight data, stitched into a unified picture of every active shipment. You'll refine the models that scan that picture for risk and flag issues before they cascade, across hundreds of carriers, lanes, and sensor types. The hard part is the long tail and the asymmetry: a missed signal is measured in patient outcomes, and a noisy one trains operators to ignore you. Getting precision and recall right on real shipments is the work.
Engineering

Full-Stack Engineer

NewPosted 2 months ago

Full-Stack Engineer

  • Olivier, Co-founder & CEO
  • 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.