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Kpler

Senior Product Manager – Distribution Channels

Kpler

. Own 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 .

Posted 11/12/2026full-timeRemote • GreeceSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Product Management with a focus on data distribution channels, including the ability to develop and deliver data products, manage cross-functional teams, and drive adoption through effective communication and stakeholder engagement.

Highest-signal resume keywords
Product ManagementData Distribution ProductsAgile MethodologiesSQL ProficiencyData Pipeline Understanding

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Product VisionRoadmap DevelopmentData PipelinesStreaming SystemsBacklog ManagementData Quality MeasurementData Sharing SolutionsFile TransferAPIsEvent-Driven Systems
Soft Skills
Strong Communication SkillsCollaborativeCustomer-FocusedOwnershipProblem-Solving
Tools & Technologies
JiraSnowflakeDatadogCostoryDatabricksClickHouseKafkaExcel Add-InSFTP/S3AI Assistants
Industry Keywords
Maritime DataCommodities DataEnergy DataB2B DataMarket-Intelligence ProductsData-Sharing EcosystemsCloud Cost ManagementFinOps

Tech Stack

Tools & technologies
CloudKafkaSnowflakeSQL

About the role

Key responsibilities & impact
  • Own 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
  • Assess growth opportunities across the data ecosystem, including channels, data content and potential providers or solutions
  • Engage with Kpler teams to understand requirements and prioritise shared platform capabilities
  • Lead delivery of automated customer-facing and internal distribution channels
  • Direct product and engineering teams and manage the backlog in Jira and Productboard
  • Drive adoption of distribution channels across Kpler's product teams and tribes
  • Expand channel content while enabling teams to own their corresponding data pipelines
  • Partner with Engineering Managers and engineers to maintain reliability and manage costs
  • Improve processes and operational efficiency
  • Establish success metrics, monitor channel performance and adoption, and drive continuous improvement
  • Communicate product vision, roadmap and priorities to internal stakeholders and support customer-facing teams
  • Assess and collaborate with external providers and partners to strengthen Kpler's data distribution ecosystem

Requirements

What you’ll need
  • 5+ years' experience in Product Management, including at least 3 years managing and delivering shared or platform products requiring alignment and adoption across multiple internal teams
  • Experience developing and delivering data distribution or data delivery products, including file transfer, streaming, APIs, data warehouses or data-sharing solutions
  • Strong product management capabilities, including discovery, product vision, roadmaps and delivery prioritisation
  • Strong understanding of data products, data pipelines and streaming or event-driven systems
  • Experience with Agile and Scrum methodologies, including backlog refinement, sprint planning and delivery management
  • Proficiency with 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 Snowflake Data Shares and Marketplace, Iceberg, Delta Sharing, Databricks and ClickHouse
  • Understanding of observability, telemetry, dashboards and alerting tools such as Datadog or Costory
  • Ability to define and measure reliability across distribution channels
  • Strong communication skills and ability to produce roadmap documentation, influence stakeholders and present to internal and external audiences
  • Comfortable using AI assistants and agents with internal data sources
  • Collaborative, customer-focused, ownership and problem-solving skills
  • Data-led decision-making and ability to prioritise, manage constraints and challenge assumptions
  • Knowledge of maritime, commodities or energy data is nice to have
  • Experience with data-sharing ecosystems and external partners is nice to have
  • Exposure to cloud cost management and FinOps is nice to have
  • Experience with B2B data or market-intelligence products is nice to have
  • Experience managing vendor and partner relationships is nice to have

Benefits

Comp & perks
  • Equal opportunity employer
  • Fair, inclusive and diverse work environment
  • Supportive and accessible workplace culture
  • Staff Privacy Notice provided to applicants