About the Role 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. What You'll Do Create Clarity and Momentum Bring structure to ambiguous problems and drive them to execution Make decisions and move forward without waiting for perfect information Lead, shape and manage the technical team You will be a leader and guide the technical team so that everyone has enough context for their work, ownership of their work, and a growth path You will decide what to build in-house, where to use external support, and how to keep engineering quality high as the software and sensor deployments scale. Own the technical roadmap Work with the product team to obtain product requirements and translate them into a technical roadmap You will align the roadmap with our current stage Decide when to iterate, fix or rebuild and explain why Create a path to scale and industrialization Own, Build, and Industrialize the Software Architecture Define and build the first customer-facing platform where customers can access, understand and act on our data. Evaluate the current backend and decide what to keep, fix, or redesign (today: a Python backend, AWS provisioned with Terraform, SQLite, and a JavaScript frontend) Make practical decisions on UX, APIs, and structure to get to a usable MVP quickly Lead development of our cloud backend (primarily AWS and GCP based) Build and refine data pipelines from sensor ingestion to usable outputs Not only design, but remain deeply involved in implementation Lead debugging and debug yourself Find the balance between scalable architecture and pragmatic solutions, aligned with our stage (product and company) Bring the final product to commercialization/industrialization Work with the hydrology and hardware teams Translate customer needs in product development direction, both hardware and data side You will support the hardware team to bring their hardware to industrialization You will lead and define the IP roadmap together with the hardware team You will work with the hydrology team to define the model outputs and how to represent the outputs in the software Who You Are You have built and shipped enterprise products from the ground up in a startup or similar environment. You are customer facing, translate customer needs into product and architecture decisions. You are both a hands-on developer and an architect. You have worked closely with hardware-software systems. You have strong intuition for pragmatic software architecture at an early stage. You can turn messy inputs into clear technical directions. You care about building systems that actually work in the real world. You communicate clearly with technical and non-technical teammates. Technical Requirements Strong experience building cloud-based systems (AWS required) Proficient in modern backend development (e.g. Python or Node.js) Experience designing and building data pipelines and APIs Comfortable building simple frontends for MVPs Experience working with real-world data systems (IoT, data platforms, or similar is a strong plus) 7 years of experience building and shipping software products 3 years of experience managing and leading a team Comfortable with infrastructure-as-code (we use Terraform) and SQL Nice to Have Experience building data-as-a-service or analytics platforms Previous founder experience Role Details Commitment: 100% FTE Compensation: competitive base salary plus meaningful equity, depending on experience Location: 4 days per week in Zurich office (with one day flexible/remote) Starting date: by November 1st 2026 at the latest Work-permit: Swiss/EU nationals with a work permit are prioritized since we do not have the capability to sponsor a work permit for third-country candidates Relocation: We do not sponsor relocation Benefits: 25 days of vacation About Riverkin We are a well-capitalized 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 Swiss startup working across hydrology models, sensing products, software and market development with real customer deployments. To apply: Email a short motivation and your CV to [email protected]. 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.

About the Role We are looking for a recent graduate that is excited to wear many hats in our startup and support operations: getting their hands wet during fieldwork, supporting customers, owning and driving the projects we have with clients and making sure we deliver on time, and managing sensor inventory in the lab and field. This is primarily an operational role, but we’re looking for someone with a technical background. This is not an engineering role. What You'll Do: Fieldwork You will own all fieldwork responsibility: from scheduling a field visit to a client site (usually somewhere along a river in the Alps), to renting/packing the car with sensors and safety equipment, selecting the optimal location for installation, updating sensor firmware and settings, making sure sensor is sending data correctly via LoRa or satellite, installing the sensor in the river along with other material to protect the sensor, and collect water samples You will find flaws in our sensor deployment setup, and then come up with better solutions and communicate these solutions to the product team You will create better and more robust sensor deployment setups if needed You will keep collected samples and field equipment organized Customer success You will follow up with customers and make sure their product is working as it should You will troubleshoot any issues that the customers face with the sensors You will document any issues that arise and communicate them to the product & engineering teams You will document any feature requests from the customers and communicate them to the product team Project management You will keep track of our current customer projects (contacts, next steps, identification of sensors deployed, which sensors are online and/or need to be fixed) You will be the driver for delivering outcomes to the clients by: Requesting new features from the software team and telling the client when the feature will be ready, then making sure the feature gets delivered Requesting bug fixes from the engineering team and then giving the client a date when the bug is fixed, then following up with the client to make sure their issue is solved Inventory management Creating and keeping track of our sensor inventory in the lab and in the field And knowing how many sensors we need to order from our manufacturing partner based on the number of clients we have in the pipeline Place sensor orders with our manufacturing partner on time so that sensors arrive before a project is due to begin Create a smooth ordering process from the manufacturing partner Oversee basic budget management, expense reporting, and invoice tracking from the manufacturing partners Manage day-to-day logistics Who You Are You enjoy working in the field, rain or shine You enjoy speaking to clients and enabling their success You’re a fast learner You’re highly organized, reliable, and enjoy bringing order to chaos You’re a strong communicator and a natural multitasker You’re comfortable taking initiative and asking for help when needed You thrive in an early-stage, fast-changing environment Requirements Must speak German and English (C level or native), with preference to candidates that are also fluent in French Must have a valid driving license and be comfortable driving manual cars and confident driving on mountain roads to reach field sites Degree in a technical field (engineering, science, or equivalent) from a Berrufslehre, Hochschule or Fachhochschule (or equivalent) Must be comfortable handling a drill while standing in a river Comfortable using Microsoft Office (Word, Powerpoint, Excel) Comfortable using productivity tools (Google Workspace, Slack, Notion, etc.) Can swim Nice to Have Swiftwater Rescue Technician Certificate Experience with IoT or sensor-based systems Experience navigating rivers on foot Previous startup experience Role Details Commitment: 100% FTE. Compensation: competitive base salary plus meaningful equity, depending on experience. Growth: this role has the opportunity to grow into a key operational role as the company scales. Reporting line: you report directly to the founders. Location: based in Zurich with 25% travel time (with one day flexible/remote) Starting date: candidates that can start by September 1st or earlier will be prioritised. The role must be filled by October 1st 2026 at the latest. Work-permit: Swiss/EU nationals with a work permit are prioritized since we do not have the capability to sponsor a work permit for third-country candidates. Relocation: We do not sponsor relocation Benefits: 25 days of vacation, and pension contributions About Riverkin We are a well-capitalized 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 Swiss startup working across hydrology models, sensing products, hardware, field engineering, software and market development with real customer deployments. To apply: Email a short motivation and your CV to [email protected] Our process has three stages: 1) a screening call, 1) an online 45min interview, and 3) a final on-site interview in Zurich with the entire team.

About the Role Riverkin is a VC-backed Swiss startup looking for a star hydrologist to join the team. Flash floods threaten thousands of people and cause millions in damage each year but trustworthy alerts are not possible to come by. This is a real, under-served problem where today's forecasts break down, leaving first responders and municipalities exposed. What You'll Do Build the first flash flood ML model - Define and build the first version of the flash flood ML model, using sensor data we deploy ourselves and public data sources. - You implement models, manage big data sets and monitor performance. - You work with software engineer(s) to embed models into a scalable piece of software. - You are the architect and choose the models, the sensors, and the architecture as we go. Translate Business and Customer Needs into a Technical Roadmap - You'll partner directly with the founders to pull detailed needs out of clients and find the sweet spot between those needs and technical feasibility. - You keep track of new developments in nowcasting and flood forecasting tools and techniques and own an ambitious technical vision - You find the balance between scalable and pragmatic solutions, serving customers from day 1 while working towards a long term strategy. Represent the team on all fronts - You're comfortable doing a sensor install on a Tuesday and a customer pitch on a Wednesday. - You are supportive within the team, while standing up for what you believe is best for the customer or company strategy. - You are an opinionated contributor to key strategic decisions in the company. Create Clarity and Momentum - Bring structure to ambiguous problems and drive them to execution. - Make decisions and move forward without waiting for perfect information. Who You Are - You're excited to solve flash flooding at the local scale - You want to build a company and you're hungry to act like a founder from day one - You want to have skin in the game - You enjoy being a hands-on - Can take messy inputs and turn them into clear technical direction - Can move fast, but with enough structure to avoid future pain - Care deeply about building something that actually works in the real world - An excellent communicator, with strong written and verbal skills Technical Requirements - Strong experience applying ML tools (e.g. LSTM) to hydrological problems (e.g. flooding) - Experience in bias correction of weather radar - MSc or PhD in hydrology, water resources management, atmospheric sciences, or equivalent - Experience working with real-world data systems (gauges, GIS, satellite imagery, etc.) Nice to Have - Previous founder or early startup experience Role Details - Commitment: 100% FTE. - Compensation: Commensurate with experience + equity - Growth: this is a key early hire with the opportunity to build and lead Riverkin’s flash-flood modelling function. - Location: 4 days per week in Zurich office About Riverkin We are a well-capitalized 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 first responders and municipalities understand what is happening before conditions become critical. We are a small, hands-on Swiss startup working across hydrology, hardware, field engineering, software and market development. To apply email a brief motivation and CV to [email protected]