Signal (signalgroup) Logo

Signal (signalgroup)

Technical Product Manager

Reposted 14 Days Ago
Be an Early Applicant
In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
The Technical Product Manager will collaborate with data scientists and engineers to translate complex workflows into product requirements, ensuring backend developments align with strategy and support features for the Signal Ocean Platform.
The summary above was generated by AI

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

About the role:  We are looking for a motivated, curious, and solutions-oriented Product Manager with a strong data science and technical background to join our team in London/Athens. This role sits within one of our backend teams, requiring heavy collaboration with data scientists and backend engineers. You will be expected to translate complex data-driven workflows into clear product requirements and contribute to the development of technically sophisticated features. Help us shape the future of the Signal Ocean Platform, our core SaaS product. You’ll build deep knowledge of the shipping industry and our platform, bridging the gap between business needs and technical possibilities. Alongside product ownership, you’ll support the team in translating vision into execution, shaping solutions through collaborative product thinking and aligning with broader company objectives.

At Signal, we are committed to finding people who are respectful, inclusive, and team players, embodying these values in every role.

What you will do in this role:

🧠 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 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 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


Requirements

What you bring to the team:

  • 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) 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)

Benefits

What we offer:

  • 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

Strict adherence to Confidentiality, Intellectual Property and Non-Compete provisions is expected.

All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.

We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal, we believe that diversity of opinions, approaches and viewpoints is key to our innovation and success and we encourage that with our hiring, development and rewards practices. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.

Top Skills

APIs
Bi Tools
Data Pipelines
Data Visualization
Distributed Systems
JIRA
Productboard
Python
R
SQL

Signal (signalgroup) London, England Office

1 Fore Street, WeWork, London, United Kingdom, EC2V 5AA

Similar Jobs

3 Days Ago
Hybrid
3 Locations
Senior level
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
This role involves leading OT cybersecurity efforts, advising teams on risks and security practices, enhancing detection capabilities, and collaborating across organizations.
Top Skills: BashPowershellPythonSIEM
4 Days Ago
Hybrid
Néo Psychikó, GRC
Junior
Junior
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Associate, Statistical Data Scientist supports study teams with data analysis, QC deliverables, and documentation within statistical data sciences, ensuring high-quality results.
Top Skills: PythonRSAS
6 Days Ago
Hybrid
Athens, GRC
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The Customer Support Engineer provides maintenance and technical support for communication systems, primarily requiring travel to customer sites. The role involves ensuring systems operate efficiently and implementing software upgrades.
Top Skills: Database ServersFirewallsIp Network ArchitectureNetwork SwitchesOperating SystemsRoutersServer Virtualization

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account