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# Senior Platform Product Manager

- **Company:** Statista GmbH
- **Location:** Hamburg, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Information Engineering, Data Infrastructure, Software Product Management, Azure Machine Learning, Software Organization, Application Enhancement Tool, Data Analytics, Data Management, Api Design, Data Pipelines, Legacy Systems
- **Published:** September 2, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=bcb5df29c997d900

## About the Role

* 7+ years of experience in the tech industry with a strong understanding of product and engineering workflows, team dynamics, and modern software development practices
 * At least 2 years of recent, hands-on experience in a heavily technical product domain such as platform engineering, data infrastructure, AI/ML, or API development
 * Proven background in platform or technical product management; experience in data platforms or data engineering is a strong plus
 * You actively integrate AI into your daily workflows and are continuously refining and expanding how you use AI-powered tools to increase your effectiveness
 * Excellent communication skills with the ability to translate between deeply technical concepts and strategic business language
 * Strong analytical mindset with a structured approach to prioritization, problem-solving, and stakeholder alignment
 * You thrive in cross-functional environments and are comfortable navigating ambiguity, legacy systems, and evolving technical landscapes

## Description

* Define and drive the product vision and roadmap for Statista's core platform capabilities, aligning technical investments with company-wide product and business goals
 * Translate complex platform challenges into clear, prioritized requirements and work closely with engineering teams to deliver high-impact solutions across areas such as data infrastructure, APIs, and internal tooling
 * Identify opportunities to leverage AI and automation to accelerate platform development, improve developer experience, and unlock new capabilities for product teams
 * Act as the bridge between technical and non-technical stakeholders, ensuring alignment on platform priorities, trade-offs, and delivery timelines
 * Evaluate and shape integration strategies for emerging technologies, including AI/ML services, MCP protocols, and data pipeline architectures
 * Continuously assess platform performance, scalability, and reliability, driving improvements through data-informed decision-making and close collaboration with engineering leadership


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