Build a strong understanding of backend architecture, data pipelines, and APIs, and how they power the Signal Ocean SaaS platform
Translate complex technical and data science concepts into clear, actionable product requirements for backend engineers and data scientists
Define and prioritize features related to backend services, analytics engines, and integrations, ensuring scalability, reliability, and performance
Collaborate closely with data scientists and engineers to design solutions that transform raw data into usable insights for downstream applications
Contribute to the collection and organization of product requirements and feedback from internal and external stakeholders, focusing on data-intensive workflows
Ensure backend developments align with overall product strategy, supporting front-end teams and client-facing features indirectly
Support successful product delivery by removing blockers, facilitating cross-team communication, and ensuring alignment throughout the development lifecycle
Monitor backend performance, data quality, and system reliability through analytics and reporting, using insights to guide roadmap priorities
Build deep knowledge of the shipping industry and bridge business needs with technical possibilities
Contribute to a positive, curious, and high-performing team culture
Requirements
Strong data science/software engineering background – demonstrated through hands-on experience
2+ years of experience as a Product Manager, preferably in backend, data platforms, or infrastructure-heavy products
Very good technical data skills, including hands-on experience in SQL
Experience with Python or R (mandatory); familiarity with data visualization/BI tools is a plus
Comfort with backend concepts such as data pipelines, APIs, distributed systems, and large-scale data processing
Working experience with agile methodologies (Kanban or Scrum), ideally with hands-on experience in JIRA and Productboard
Excellent communication, presentation, and organizational skills, with a collaborative mindset
Excellent command of written and spoken English (company’s working language)
Benefits
Generous compensation with additional performance incentives.
Coverage under the company’s collective health insurance plan.
Opportunity to work alongside experienced people in software engineering, data science & shipping business with mentoring.
Hybrid remote work policy — 6 working days at premises per month with happy hour events.
2-4 weeks of onboarding training with access to ~30 trainers.
Career growth opportunities and structured development discussions every 4 months.
Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).
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