Senior Product Manager

Kpler's historical and core product is Cargo Tracking. By combining vessel positions with a wide range of proprietary and external data sources, we deliver best-in-class cargo intelligence to the market, including port calls, trades, quantities, products, and more.

The Cargo Predictions crew is responsible for building and operating highly accurate cargo predictive models that power Kpler’s live trade intelligence for the global commodity markets. The team owns the quality of these outputs, making it a critical pillar of Kpler’s value proposition.

As Senior Product Manager, you’ll play a critical role in defining and owning the product vision, strategy and roadmap while ensuring successful delivery of the crew’s mission. You’ll drive continuous improvement initiatives, oversee the data quality performance metrics, identify data quality issues and validate model outputs. Through rigorous analysis, data-driven decision-making, and close collaboration with the crew and business stakeholders, you’ll ensure that Kpler’s cargo intelligence products consistently meet the highest standards of accuracy, reliability, and usability for clients.

As a senior individual contributor, the role also sets product standards and raises the bar across the cargo-models product practice.

Responsibilities

• Define and drive the product vision, strategy, and roadmap for Kpler's cargo predictive models and algorithms, aligning model investments with commercial priorities and client value.
• Own the Cargo Predictions backlog end-to-end: translate market needs and analytical findings into well-defined epics, user stories, and acceptance criteria the engineering and data science crew can execute against with confidence.
• Prioritise across competing demands - accuracy, coverage, latency, new commodities and regions, and technical debt - balancing client impact, commercial value, and technical and data-pipeline feasibility.
• Own the delivery cadence: sprint planning, backlog refinement, release coordination, and stakeholder communication, keeping quality and velocity consistent as the crew scales.
• Partner with data science to shape model development, evaluation, and improvement, and define what "good" looks like for model accuracy, completeness, and stability.
• Work with the data analyst function to instrument model quality monitoring, turn observed quality gaps into prioritised improvements, and close the loop between detection and roadmap.
• Act as the key point of contact between commercial teams, analysts, engineers, and data scientists - translating client needs into precise requirements and feeding delivery insight back into prioritisation.
• Define and track success metrics for model quality and adoption, and use them to inform roadmap decisions and communicate impact to stakeholders.
• Maintain product and engineering standards for documentation, data quality, and ways of working.

Skills and Experience

• 5+ years of Product Management experience, with a strong track record of delivering complex, data-driven products from concept to scale in fast-paced environments.
• 5+ years of Product Management/Product Ownership experience delivering B2B data, analytics, or SaaS products in agile, cross-functional environments, with a proven track record of translating product strategy, customer needs, and commercial objectives into prioritised backlogs and delivering high-quality releases on schedule.
• Strong experience working with engineering teams to build data-intensive products, with a solid understanding of data pipelines, data models, APIs, system architecture, and technical dependencies, enabling effective collaboration without requiring hands-on software development.
• Demonstrated experience supporting data science and model-driven products, defining model-quality metrics, product KPIs, and success measures to ensure data-driven decision making and continuous product improvement.
• Excellent analytical and systems-thinking capabilities, able to interpret technical specifications, data schemas, and model evaluation methodologies while transforming complex business problems into clear, actionable product requirements.
• Extensive experience leading agile product delivery, including backlog management, user story writing, acceptance criteria definition, sprint planning, release coordination, and iterative product development using tools such as Jira, Confluence, and roadmap management platforms.
• Proven ability to prioritise effectively, make pragmatic trade-offs, and balance strategic objectives with operational reliability, maintaining focus on delivering incremental business value for mature, client-facing products.
• Strong stakeholder management and cross-functional collaboration skills, working effectively with commercial teams, engineering, analysts, data scientists, and customers to align priorities, resolve ambiguity, and deliver successful product outcomes.
• Exceptional communication skills, able to translate complex technical concepts into clear business language while bridging analytical, engineering, and commercial perspectives with precision.
• Ownership mindset with a strong commitment to product quality, reliability, attention to detail, and continuous improvement, ensuring long-term customer satisfaction alongside new feature delivery.
• Strong curiosity for commodity markets, analytical products, and customer workflows, with the ability to rapidly develop domain expertise and identify opportunities for product innovation.
• Fluent in English with excellent written and verbal communication skills.

Nice to have

• Educated to Bachelor's or Master's degree level in a relevant discipline (Data, Science, Engineering, Economics, Finance, or similar), with Agile certifications such as CSPO considered advantageous.