CetaSol AB jobb

We're building AI-powered products that help commercial vessels cut fuel consumption, lower emissions, and operate smarter; combining real-time monitoring, digital twins, predictive maintenance, and automated compliance in one connected platform used by fleets worldwide. We're looking for an Experienced Product Owner to own the backlog and shape where our platform goes next. What you'll do Define product vision with leadership and translate customer needs into clear requirements Prioritise features by customer value, business impact, and technical feasibility Work hand-in-hand with engineering, AI, and UX through the full development cycle Drive discovery through prototyping, usage data, and customer feedback Support go-to-market with sales and marketing What we're looking for Product Owner building SaaS or cloud products Maritime, marine, or shipping background Strong customer-centric mindset and Agile experience Able to align technical and business stakeholders, and stay hands-on while thinking strategically Nice to have Work experience in data analytics and fleet management systems Familiar with industrial IoT and exposure to data protocols (e.g. NMEA, J1939, Modbus) is a bonus Why Cetasol? Shipping accounts for nearly 3% of global greenhouse gas emissions. We use AI, real-time data, and digital twin tech to help fleets run cleaner and more profitably, giving captains and fleet managers insights that deliver real environmental and business impact. If you're excited about creating a product that makes a real difference, apply now!

Turn ship physics into software people actually use At Cetasol we build the monitoring and analytics platform that commercial fleets use to cut fuel consumption, understand how their vessels really perform, and stay on the right side of CII and EU MRV reporting. A growing part of that platform is predictive maintenance: catching when an engine, generator, thruster, or the vessel as a whole starts behaving differently than it should, before it becomes a failure. Getting there takes two things that rarely live in the same person: an understanding of the physics behind how these assets actually behave, and the engineering skill to ship that understanding as a working product. We're looking for that person. What you'll do Build physical and data-driven models of vessel assets — engines, generators, thrusters, and the ship as a whole — that capture what "normal" operation looks like Detect when an asset deviates from its expected behaviour, and trace that deviation back to the sensors and signals driving it Work with noisy, real-world sensor data from vessels: clean it, validate it, and decide what it can and cannot support Take your own models from notebook to production on AWS, and build the React interfaces where the results actually land in front of customers Own features end to end, with our UX designer, full stack developers and data scientist alongside you Help us decide where a first-principles model beats a statistical one, and where it doesn't What we're looking for The balance here is genuinely 50/50. You should be comfortable deriving a model and deploying it. On the modelling side: Strong applied mathematics, physics or engineering foundation — fluid dynamics, thermodynamics, control theory, numerical methods, or similar Experience with anomaly detection or condition monitoring on physical systems — knowing how to separate a genuine fault signature from normal operating variation Solid Python and the usual scientific stack; experience with time series and sensor data The judgement to know when a model is good enough and when it's fooling you On the engineering side: Practical experience building and running services on AWS Comfortable in React and modern frontend work — you don't need to be a specialist, but you should be able to build the view your model deserves Familiarity with the ordinary craft of software: version control, testing, code review, CI And: You explain technical work clearly to people who aren't specialists You're happy to sit somewhere between disciplines rather than in the middle of one We're open on years of experience. If you can do the work, the title follows. Nice to have Predictive maintenance or condition-based monitoring · maritime, automotive, aerospace or energy domain experience · digital twins or physics-informed machine learning · edge computing or embedded data collection Why Cetasol Shipping accounts for roughly 3% of global CO₂ emissions, and a meaningful share of that is avoidable through better operational decisions. The work here is technically interesting and the impact is measurable in tonnes of fuel. You'd be joining a small engineering team where your work is visible and your scope is wide. We're based in Gothenburg and work hybrid — we value time in the same room, without counting days.