We’re hiring a Product Owner to drive delivery and measurable customer outcomes in an industrial software environment. You’ll work closely with customers and internal teams to turn operational needs into clear requirements, shipped features, and improvements that move retention and value.
What you’ll doOwn the backlog and day-to-day execution: write clear tickets, define acceptance criteria, unblock delivery
Turn customer problems into actionable requirements and prioritized work packages
Run discovery in a pragmatic way: clarify workflows, constraints, data realities, edge cases
Coordinate across engineering, customer-facing teams and stakeholders to ship reliably
Validate outcomes: ensure what ships works in real customer environments and drives measurable impact
Maintain documentation/playbooks so knowledge doesn’t live in people’s heads
4–7 years experience as Product Owner / Implementation lead in industrial or operational software
Strong domain knowledge: factories, production processes, quality, maintenance, throughput, downtime, etc.
Comfortable with messy enterprise reality: multiple stakeholders, partial data, changing constraints
Able to write high-quality requirements that engineers can implement without guesswork
Outcome-oriented: you think in impact metrics, adoption and retention, not feature lists
Confident communicator with both operators and engineers
Experience with MES / ERP / SCADA / industrial analytics tools
Basic technical literacy: SQL, APIs, data pipelines (enough to ask good questions)
Experience working with AI/analytics products in industrial settings
What we offer
A competitive salary & stock options*
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360° feedback, and flexible working hours
Ethics⚖: We are committed to developing ethical AI software
Don't meet all the requirements?
Deltia is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.
*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
Skills Required
- 4-7 years experience as Product Owner / Implementation lead in industrial or operational software
- Strong domain knowledge: factories, production processes, quality, maintenance, throughput, downtime
- Comfortable with messy enterprise reality: multiple stakeholders, partial data, changing constraints
- Able to write high-quality requirements that engineers can implement without guesswork
- Confident communicator with both operators and engineers
What We Do
AI-based process analytics platform to increase productivity and quality in manual shop-floor processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential. 1. Real-time capture with cameras Cameras are installed at individual assembly stations capturing live video streams of assembly or packaging tasks. 2. AI tracks material & work steps Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing. 3. Aggregation for data analysis Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis. 4. Data-driven improvements Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line.
