Product Manager (Decision Intelligence & Experimentation)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Product Manager (Decision Intelligence & Experimentation): Building and scaling 's A/B testing infrastructure and analytics intelligence layer with an accent on AI-augmented insights and self-serve experimentation. Focus on designing agent-assisted data querying, automating narrative generation, and improving organizational data fluency.
Location: Düsseldorf, Germany (Hybrid: up to 2 days WFH weekly)
Company
is a leading global hotel metasearch engine that helps millions of travelers compare prices and find the best deals.
What you will do
- Own the product roadmap for A/B testing infrastructure across web, mobile web, and app.
- Define the vision for the analytics intelligence layer, transitioning toward AI-assisted insight generation.
- Lead the AI transformation agenda, including agent-assisted data querying and intelligent anomaly detection.
- Partner with Data Engineering and Data Science to build a governed, trustworthy data foundation for autonomous business access.
- Develop training programs and adoption playbooks to raise experimentation literacy across the organization.
- Align stakeholders and facilitate product outcomes discussions with senior leadership.
Requirements
- 5+ years of product management experience.
- At least 2 years of experience owning A/B testing, experimentation platforms, or analytics infrastructure in consumer-facing digital products.
- Solid grasp of statistical foundations, including significance testing, power analysis, experimental design, and causal inference.
- Experience building platforms for both technical users (engineers, data scientists) and self-serve business users.
- Proven track record of driving platform adoption and scale.
- Must be based in or be able to relocate to Düsseldorf, Germany.
Nice to have
- Experience integrating AI or LLMs into analytics or data products (e.g., agent-based querying).
- Familiarity with travel or e-commerce marketplace dynamics.
- Experience building internal data products with governance, access control, and data quality standards.
Culture & Benefits
- Personalized coaching via Nilo, workshops, and access to a fully-equipped campus library.
- On-site gym, sports classes, and Urban Sports Club membership.
- Comprehensive relocation package, visa support, and interest-free newcomer loan.
- Self-determined vacation (minimum 25 days) and flexible working hours.
- Daily canteen budget and on-campus kids room.
Hiring process
- One-way video interview and initial recruiter call.
- Technical interview with the team and stakeholder discussions.
- Final interview with the Lead.
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