Support the management of vessel data pipelines - in close collaboration with engineers and data analysts - to ensure our dataset is continuously updated.
Contribute to evaluating new data sources and setting up ETLs to enhance our vessel particulars dataset.
Collaborate closely with the squad dev lead, engineers, and analysts to translate technical needs into clear product requirements.
Work with Sales and other client-facing teams to gather feedback, understand client requests, and help prioritise enhancements to the Vessels API.
Assist in defining and refining processes to improve data quality, monitoring, and resilience against noisy or inconsistent sources.
Monitor data quality through automated checks and offline processes, escalating or resolving errors as needed.
Learn and apply knowledge of shipping concepts (vessel types, particulars, sanctions, ownership) and their connections to wider models in Signal.
Help ensure seamless insertion of new-builds into the system.
Document workflows and maintain organised product backlogs to support effective team execution.
Requirements
Initial experience as a Product Manager, preferably in or around **data platforms**.
Strong analytical skills with **attention to detail** and a structured approach to problem solving.
Good technical skills - **SQL** required; Python familiarity strongly preferred.
Excellent **organisational and collaboration skills,** with a willingness to learn from and support team members.
Strong communication skills in English, both written and spoken.
Ability to work with and reason about noisy data.
Curiosity about shipping, data-intensive products, and APIs, and eagerness to grow into a deeper understanding of vessel particulars and related workflows.
Benefits
Generous compensation with additional performance incentives.
Coverage under the company’s collective health insurance plan.
Opportunity to work alongside experienced people with deep knowledge in software engineering, data science & shipping business who are always eager to mentor.
Signal’s hybrid work policy currently includes six on-site working days per month, during which our happy hour events take place. Starting January 2026, we’ll transition to a hybrid setup with nine on-site days per month.
2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.
Career growth opportunities and a structured development discussion every 4 months.
Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).
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