Jobs at Signal (signalgroup)

Manage and grow a defined portfolio of Alphaliner accounts in the container shipping industry. Responsibilities include relationship management, renewals, contract negotiations, account reviews, risk mitigation, upselling, cross-selling, and new client acquisition. The role requires strong communication, presentation, data manipulation, and industry expertise, with opportunities to use Power BI, Python, MySQL, and Salesforce.

Analyze complex shipping datasets, create data sources, and build dashboards that communicate actionable insights. Translate client and business needs into analytical solutions, identify market trends and disruptions, and collaborate with product, data, engineering, and commercial teams. Use SQL and AI tools such as Claude Code, Copilot, and ChatGPT to accelerate analysis, automate workflows, improve reporting, and develop impactful analytics products.

Six-month paid design internship (possible extension) contributing to UX/UI across a complex data-driven platform. Tasks include integrating AI tools, wireframing, prototyping, participating in user research and design sprints, evolving the design system, and presenting design decisions under senior mentorship.

The Signal Group is seeking expressions of interest for potential future job openings in shipping and technology services, offering competitive salary and engaging team dynamics.

The Signal Group invites applications for future job opportunities in shipping services and software technologies, promising a dynamic work environment.

18-24 month rotational graduate program across API Tech Sales, Revenue Operations, Client Success, and team specialisation. Learn shipping domain, work with REST APIs, Snowflake, Python and SQL, build dashboards and AI-driven sales tooling, support clients, run trainings, and transition into a permanent technical sales or revenue operations role.

Design, build, and maintain full-stack web applications using React and .NET Core. Collaborate with data science, product, and design to deliver scalable cloud solutions, APIs, and UI prototypes. Contribute across discovery, delivery, QA, DevOps, and CI, applying SOLID principles and automated testing.

Build and maintain scalable Python backend microservices: productionize data science prototypes, fix production issues, improve monitoring, and ensure tested, well-documented code following engineering best practices.