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Dordrecht
22 May 2026
Senior Product Manager Publishing Systems logo

Senior Product Manager Publishing Systems

Springer Nature

Dordrecht
22 May 2026
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Senior Product Manager Publishing Systems

Senior Product Manager needed to own and evolve publishing systems for books at Springer Nature. The role defines product strategy across the entire publishing lifecycle, requires strong product discovery and cross-functional collaboration, and is based in Dordrecht.

On-siteFull-timeSeniorProduct DiscoveryUser Research

Senior Product Manager Publishing Systems

Senior Product Manager needed to own and evolve publishing systems for books at Springer Nature. The role defines product strategy across the entire publishing lifecycle, requires strong product discovery and cross-functional collaboration, and is based in Dordrecht.

Apply
On-siteFull-timeSeniorProduct Discovery

Salary

Not specified

Work Location

Dordrecht, South Holland, Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
product discoveryuser researchhypothesis testingproduct strategyroadmap managementprioritizationmetric definitiondata analysisstakeholder managementcross-functional collaboration
Soft Skills
analytical thinkingstructured thinkingoutcome-oriented mindsetinfluencealignmentcollaborationproblem solving

Preferred Qualifications

Technical (Nice-to-have)
publishingmediacontent-driven businessesML/AIlegacy systemsevolving architectures

Key Responsibilities

  • •Own the product strategy and roadmap across the lifecycle from idea and proposal through to a published book
  • •Define and continuously refine key problem spaces across the whole publishing journey
  • •Identify and validate user needs and pain points before defining solutions
  • •Ensure all major initiatives are grounded in clear problem definition, expected outcomes, and measurable success criteria
  • •Drive alignment across systems and workflows to enable a coherent end-to-end publishing process
  • •Define requirements and desired outcomes, while collaborating with engineering and operational teams
  • •Explore and prioritize ML/AI-assisted approaches across the entire product landscape
  • •Ensure data and metadata consistency across the lifecycle
  • •Prioritize initiatives based on user value, business impact, and evidence
  • •Define and track success metrics to measure impact and inform ongoing prioritization
Product ManagementPublishing SystemsBooksSeniorProduct StrategyUser ResearchWorkflowSpringer Nature
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