Principal Product Manager - Lounge Data Platform (all genders)

Zalando
Anywhere
Workplace: OnsiteFull timeFunction: Product ManagementSkills: ["Prioritization","Communication","Stakeholder management","Product discovery","Cross-functional influencing"]

Own the strategy and roadmap for Zalando’s Lounge & Outlet data platform, shaping the architecture and deployment of reusable data products. Lead the lifecycle of curated analytics, tracking, semantic layers, reporting, and data governance, while defining adoption, usability, reliability, and data quality measures. Build an AI-ready foundation for machine learning and AI agents, partnering with engineering and data specialists and explaining technical trade-offs to diverse audiences.

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Zalando
Zalando
2 days ago

Principal Product Manager - Lounge Data Platform (all genders)

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Last checked: 1 hour agoStatus: Live

Job Summary

Own the strategy and roadmap for Zalando’s Lounge & Outlet data platform, shaping the architecture and deployment of reusable data products. Lead the lifecycle of curated analytics, tracking, semantic layers, reporting, and data governance, while defining adoption, usability, reliability, and data quality measures. Build an AI-ready foundation for machine learning and AI agents, partnering with engineering and data specialists and explaining technical trade-offs to diverse audiences.
Location: Anywhere
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Partner with the Head of Data Platform to shape and evolve the data-platform strategy and translate business goals into a prioritized, transparent product roadmap.
  • •Lead the data-product portfolio and own the lifecycle of reusable data products across conversational analytics, tracking, reporting, and self-service.
  • •Define measures for adoption, usability, reliability, data quality, enablement, and business impact.
  • •Build an AI-ready data foundation, defining capabilities for machine learning, predictive models, and AI agents including feature stores, semantic layers, real-time data products, and metadata management.
  • •Establish data ownership, governance, and adoption practices, ensuring responsible AI, privacy, and security standards.

Pay and Benefits

Perks:HolidayPaid VolunteeringEquityRelocationDiscountsHealth InsuranceWellness Stipend

Key Requirements

  • •Significant product-management experience owning complex data, platform, analytics, infrastructure, or enterprise products.
  • •Understanding of analytics platforms and reporting tools, including event tracking and conversational analytics, experimentation, curated data products, semantic layers, feature stores, or reusable ML features.
  • •Knowledge of what makes a data product trustworthy and useful, including clear ownership, consistent definitions, quality, documentation, discoverability, and adoption.
  • •Sufficient understanding of modern data and AI architectures to partner credibly with engineering and data specialists and make informed product decisions.
  • •Strong prioritization judgment and excellent communication/influencing skills when explaining technical topics to technical and non-technical audiences.
Skills:PrioritizationCommunicationStakeholder managementProduct discoveryCross-functional influencing
Tech Stack:Conversational analyticsEvent trackingSemantic layersFeature storesReal-time data productsMetadata managementData governanceData contractsObservability

Company Brief

Zalando
Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2008
WebsiteLinkedIn