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Lead Product Manager, Paid Search Technology (Data Products)

Confidential company · Berlin · Posted Oct 12, 2026

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Public summary

Join a leading travel experiences company as a Lead Product Manager for the Paid Search team. Shape the vision, strategy, and growth of data products at the core of a major customer acquisition channel. Collaborate with engineering, data, and marketing teams to define roadmaps and improve product effectiveness, leveraging data and experimentation to drive priority decisions and outcomes. The role focuses on internal data products such as bidding inputs, feeds, signals, and attribution systems that support paid search and growth initiatives. Opportunity to contribute strategic leadership and analytics expertise in an innovative travel tech environment.

Location and work setup

Location
Berlin
Remote status
Hybrid
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Own the strategy and outcomes of the Paid Search data product portfolio from end to end. Develop clear roadmaps and define success metrics. Translate ambiguous system and data challenges into meaningful product features and improvements. Partner closely with engineering, growth data product, and marketing teams to maintain alignment and deliver value. Use experimentation and data analysis to inform decision-making and iterate on product investments. Manage stakeholder relationships to align priorities and expectations.

Qualifications

At least 7 years of professional experience in product management, with demonstrated ownership of product strategy and execution. Strong background in data or machine-learning adjacent products such as signal pipelines, feature stores, bidding or attribution systems. Proficient in data analytics with the ability to extract actionable insights from large datasets. Experienced in using experimentation as a core tool for decision-making. Familiarity with paid search, SEO, SaaS, or marketplace environments is a plus. Excellent communication, prioritization, and collaboration skills required.

Skills

product management data products paid search strategy roadmap development data analytics experimentation marketing collaboration feature stores signal pipelines ML platforms bidding systems attribution modeling large dataset analysis SEO SaaS marketplace team leadership