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Own the end-to-end technical roadmap and lead the development of a scalable, customer-facing enterprise platform for river data. Manage the technical team and collaborate with hardware and hydrology teams to industrialize the product.
Requires at least 7 years of experience building software products and 3 years of leadership experience, specifically with AWS and cloud-based systems. Must have a proven track record of taking enterprise products from 0 to 1 in a startup environment.
We are looking for an experienced software engineer to own Riverkin’s technical roadmap end-to-end, including working hands-on on the software component. You will take responsibility for creating a reliable client-facing product, which will be mainly an enterprise software that is fed with data (from hardware we build ourselves) and models (which we also build ourselves).
We already have several manufactured sensor prototypes and a software MVP deployed in the field with clients. Now we need someone who can take what exists, challenge it where needed, and define a coherent, scalable path forward with a customer facing approach and without overengineering or starting from scratch unnecessarily.
You should think like a builder, not an optimizer. We need someone who has taken products from 0 to 1 and knows how to move fast without losing track of the overall structure.
We are a well-capitalized Swiss startup building real-time sensing and data infrastructure for rivers. Our own field-deployed sensors collect live water-level and sediment data, while our platform turns that data into decision-ready insights for customers. We work across two core use cases: hydropower, where better sediment data can support flushing, asset protection and compliance; and flash-flood risk, where local river data can help hydropower, first responders and municipalities understand what is happening before conditions become critical. We are a small, hands-on team working across hydrology models, sensing products, software and market development with real customer deployments.
To apply: If you have them, add links to things you’ve shipped: your Github profile, a portfolio, or a couple of lines on a 0-to-1 product you owned (optional, not required).
Our process has three stages: 1) a screening call, 2) an online 45min interview, and 3) a 2h workshop with the founders on-site in Zurich.
Helping hydropower operators and first responders act earlier with trusted local river data
Riverkin is building the platform for freshwater data. Water drives most natural disasters, yet the data still barely exists or sits in silos. We deploy a global sensor network, aggregate fragmented sources, and turn those signals into model-ready datasets in real time. Think of it as an operating system for rivers, enabling better tools and, for the first time, the ability to predict flash floods. Already live with real deployments and paying customers. We’re turning water into a new data layer.
Offices: Zurich, CH
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