Senior Product Manager (Distribution Channels)

Responsibilities

• Own the platform distribution channels: Define the vision and 12-month roadmap for Kpler's distribution channels, including CloudDB, Excel add-in, sFTP/S3, Kafka, data sharing, marketplaces and the analytics platform as an internal channel. Drive the development of features and content across these channels.
• Identify growth opportunities: Assess opportunities across the data ecosystem, evaluating growth potential through existing and new channels, additional data content and potential providers or solutions. Use data and stakeholder feedback to validate and prioritise opportunities.
• Drive platform discovery: Engage with teams across Kpler to understand their requirements, evaluate opportunities and prioritise shared capabilities that deliver value across multiple product teams.
• Own backlog and delivery: Lead the delivery of new, automated customer-facing and internal distribution channels. Provide clear direction to your product and engineering teams, manage and prioritise the backlog in Jira and Productboard, and facilitate effective refinement and grooming.
• Drive adoption: Increase adoption of distribution channels across Kpler's product teams and tribes. Expand the content available through these channels while supporting teams and enabling them to own their corresponding data pipelines.
• Improve reliability and efficiency: Partner with Engineering Managers and engineers to deliver against the roadmap, maintain reliable distribution channels and manage costs effectively. Identify opportunities to improve processes and operational efficiency.
• Define and measure success: Establish success metrics for each channel, monitor performance and adoption, and develop action plans to drive continuous improvement.
• Communicate vision and progress: Act as a key point of contact for the Data Ecosystem crew alongside the Engineering Manager, communicating the product vision, roadmap and priorities to internal stakeholders. Support customer-facing teams where required.
• Manage partnerships: Assess and collaborate with external providers and partners to identify opportunities that strengthen Kpler's data distribution ecosystem.

Skills and Experience

5+ years' experience in Product Management, including at least 3 years managing and delivering shared or platform products that require alignment and adoption across multiple internal teams.
Experience developing and delivering data distribution or data delivery products, such as file transfer, streaming, APIs, data warehouses or data-sharing solutions.
Strong product management capabilities, including discovery, defining product vision, building roadmaps and prioritising delivery based on customer and business needs.
Strong understanding of data products, data pipelines and streaming or event-driven systems.
Experience working with Agile and Scrum methodologies, including backlog refinement, sprint planning and delivery management, with proficiency in tools such as Jira.
Comfortable writing SQL against data warehouses such as Snowflake to measure adoption, cost and data quality, including account usage and query history.
Familiarity with data-sharing technologies and open formats, including Snowflake Data Shares and Marketplace, Iceberg and Delta Sharing, and data consumers such as Databricks and ClickHouse.
Understanding of observability, telemetry, dashboards and alerting tools such as Datadog or Costory, with the ability to define and measure reliability across distribution channels.
Strong communication skills, with the ability to produce clear assessments and roadmap documentation, influence stakeholders and present effectively to both internal and external audiences.
Comfortable using AI assistants and agents with internal data sources to accelerate analysis, documentation and product backlog activities.
Collaborative and customer-focused, with the ability to understand stakeholder challenges, build alignment and drive solutions across teams.
Strong ownership and problem-solving skills, with a data-led approach to decision-making and the confidence to prioritise effectively, manage constraints and challenge assumptions.

Nice to have

Knowledge of maritime, commodities or energy data.
Experience working with data-sharing ecosystems and external partners, such as Snowflake.
Exposure to cloud cost management and FinOps.
Experience with B2B data or market-intelligence products sold to enterprise customers.
Experience managing vendor and partner relationships, including commercial and marketplace agreements.