Product / Project Manager – IT

About the role

Gentco Logistics, an international liquid chemical logistics provider, is hiring a Product / Project Manager for its Global IT Department, which reports to the Group's CIO. The team has over 40 IT, software and data professionals mainly in Shanghai and Moerdijk, with a growing presence in Singapore. Product managers own business applications and data projects end-to-end, working with engineers, analysts and business users.

Key responsibilities

• Understand users, markets and competition, translate business needs into products and take ownership of specific business applications.
• Run projects through their full lifecycle: turn ideas into proposals, plan and oversee execution, ensure quality and timeliness, and run retrospectives and documentation on completion.
• Work with global engineering and data teams in an iterative way to deliver and improve applications.
• Design unbiased KPIs and metrics and regularly survey or interview users for feedback.
• Experiment with LLM tooling and agentic workflows, such as agent harnesses and automated workflows.
• Keep project status, decisions and documentation current in Confluence and Linear so stakeholders across Shanghai, Moerdijk and Singapore stay aligned.
• Promote knowledge sharing and best practices in documentation.

Required profile

• 2+ years as a project, product or program manager with hands-on use of modern project management tooling, or 2+ years in maritime logistics or supply chain leading cross-functional deliveries.
• Strong desire to learn the industry of tanker shipping and tank container logistics.
• Comfortable communicating with technical and non-technical audiences and turning business needs into clear requirements.
• Professional fluency in English; professional fluency in Mandarin is an added advantage.
• Proactive, accountable for outcomes and timelines.

Desirable qualities

• Experience with B2B ERP/TMS systems.
• Previous work in maritime logistics or shipping.
• Experience on data or analytics projects, including working with data engineers and analysts and defining KPIs.
• Knowledge of modern software architectures and DevOps principles.
• Interest in LLM tooling beyond chat, such as agent harnesses and small agentic workflows.