Build a strong understanding of our backend architecture, data pipelines, and APIs, and how they power our 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, analysts 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 that backend developments align with the 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, and use these insights to guide roadmap priorities
Contribute to a positive, curious, and high-performing team culture

Strong technical background – demonstrated through studies (Computer Science, Data Science, Mathematics, Statistics, or a related technical field) or equivalent hands-on experience
1+ 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) for understanding and working closely with data teams; 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 and ability to align technical and business teams
Excellent command of written and spoken English (company’s working language)

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).
Regular team bonding events and activities.
Fitness benefits to support your health and wellbeing

Associate Technical Product Manager

Key skills