Product Manager

Remote - we’re flexible on location, but we do need GMT+0 to GMT+4 of overlap with UK team.

About Zencargo Zencargo is building a world of smarter trade. We combine expert global freight forwarding (ocean, air, road, rail) with Luca, our AI co-pilot, to deliver real-time visibility, proactive exception management, and supply chains that become customers' competitive advantage. Join us to shape products that automate logistics, reduce disruptions, and drive measurable efficiency for global shippers.

The Opportunity We’re looking for an experienced Product Manager to take ownership of a meaningful area of the Zencargo platform and help transform how global freight is managed.

This is an opportunity to digitise and automate complex processes in an industry that still relies heavily on manual work, emails, spreadsheets, and operational knowledge. You will work on products that serve customers, suppliers, freight partners, and our internal operations teams, solving real-world problems across international supply chains.

AI is central to both what we build and how we work. You will help identify and deliver AI-powered features that improve supply chain efficiency, while also using modern AI tools throughout discovery, analysis, prototyping, specification, and delivery.
You will join a product team, work directly with senior leadership, and partner with a dedicated design and engineering squad. The role offers significant autonomy, visibility, and the opportunity to influence both our product strategy and how we develop software.

You will own a meaningful product area and its outcomes end to end, from understanding customer and operational problems through to discovery, prioritisation, delivery, adoption, measurement, and continuous improvement. This is not a narrowly defined delivery role: you will be expected to shape the problems the squad works on, challenge assumptions, and provide clear recommendations about where we should invest.

Product areas could include booking and shipment workflows, purchase-order management, customer visibility, operational automation, exception management, and AI-powered productivity features.

• Own the vision, priorities, roadmap, and measurable outcomes for your product area, balancing customer value, operational impact, commercial priorities, and technical complexity.
• Lead discovery and prioritisation for complex customer and operational problems, using user research, product and operational data, market insight, and commercial context to determine where the team should focus.
• Experience working closely with engineers and designers throughout discovery, solution design and delivery, without relying on heavy hand-offs or excessive documentation.
• Map and redesign freight and operational processes to identify opportunities for technology, automation, and AI to reduce friction and improve decision-making.
• Define success measures before development begins and use product data, customer feedback, and operational insight to assess whether released solutions are delivering the intended outcome.
• Take responsibility for initiatives beyond launch, ensuring solutions are adopted, create measurable value, and are improved based on evidence.
• Facilitate sessions and communicate effectively to align product, engineering, design, operations, commercial, and leadership teams around priorities and decisions.
• Contribute to the broader product strategy and roadmap that advances our vision of intelligent supply chains.
• Use AI tools as part of your day-to-day product practice to improve the speed and quality of research, analysis, prototyping, communication, and delivery.

What Success Looks Like

First 30 days: Build a strong understanding of our customers, internal operations, platform, product strategy, technical landscape, and current squad priorities. Establish trusted relationships with engineering, design, and key business stakeholders.

First 90 days: Take clear ownership of a product area, validate its highest-priority customer and operational problems, establish measurable outcomes, and lead at least one meaningful initiative into delivery.

First six months: Demonstrate measurable progress against agreed customer, operational, or commercial outcomes, such as increased product adoption, reduced manual work, faster workflow completion, or improved shipment reliability.
Ongoing: Consistently identify and solve valuable problems, make strong prioritisation decisions, and deliver improvements that create measurable value for customers and the business.

• Experience as a Product Manager with a track record of shipping impactful software products or features, ideally in SaaS, logistics, supply chain technology, or another operationally complex environment.
• Experience owning a product area or complex problem space, rather than only managing a backlog or coordinating delivery.
• Strong product judgement, with the ability to make pragmatic trade-offs between customer value, operational impact, commercial priorities, and technical complexity.
• Strong user research, data analysis, process mapping, and facilitation skills.
• Experience working closely with engineers and designers throughout discovery, solution design and delivery, without relying on heavy hand-offs or excessive documentation.
• Recent, hands-on experience using modern AI tools to improve product discovery, research, analysis, prototyping, specification, or delivery, alongside experience contributing to an AI-enabled product or feature.
• Confidence working directly with senior leaders, communicating complex issues clearly, and influencing decisions through evidence, product insight, and sound judgement.
• You will be comfortable operating with ambiguity, challenging established processes and adapting your approach as new information emerges.
• A versatile, hands-on working style, with the ability to move between strategic thinking, detailed discovery, stakeholder alignment, and supporting delivery.

Nice-to-Haves:

• Domain knowledge in logistics, freight forwarding, or supply chain.
• Experience in a startup, scale-up, or fast-growth technology environment.
• Experience building products for operational users as well as external customers.
• Familiarity with ThoughtSpot or similar analytics and business intelligence tools.