Product Manager - Decision Intelligence & Experimentation at trivago
May no longer be active — verify on the employer site
At a glance
- Company
- trivago
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this trivago job
- 🏢 trivago has 12 jobs here, 12 with visa sponsorship see all
- 📊 25 Product Manager jobs in Germany in the last 60 days see them
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask trivago if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Own the product roadmap for trivago’s A/B testing infrastructure and analytics intelligence layer across web, mobile web, and app.
- Turn experimentation into a self-serve, company-wide capability: platform features, metadata, cross-experiment insights and searchable learnings.
- Define and deliver the analytics intelligence vision: AI-assisted insight generation, anomaly detection, narrative automation and proactive signals.
- Lead adoption and training: build playbooks, run enablement programs, and drive experimentation literacy across product, data and business teams.
- Partner with Data Engineering, Data Science and governance teams to create a trustworthy, accessible data foundation and ensure compliance.
- Align stakeholders and communicate outcomes to senior leadership; measure platform adoption and business impact.
Requirements:
- 5+ years product management experience with 2+ years in experimentation or analytics/infra product ownership.
- Strong statistical foundations and practical knowledge of A/B testing, causal inference and power analysis.
- Experience building platforms used by both technical and business users; track record driving adoption and cross-functional alignment.
- Familiarity with data engineering concepts, analytics stacks and AI/LLM-assisted workflows.
- Excellent communication, stakeholder management and roadmap prioritization skills.
Responsibilities
You will own the product roadmap for trivago's A/B testing infrastructure and analytics intelligence layer to drive company-wide experimentation. You will lead the AI transformation agenda to enable proactive decision support and build a governed, trustworthy data foundation.
Requirements
Candidates must have 5+ years of product management experience with at least 2 years specifically in A/B testing or analytics infrastructure. A solid grasp of statistical foundations and experience building platforms for both technical and business users is required.
Key skills
- Product management — in 242 other listings on The Stack
- A/B testing — in 124 other listings on The Stack
- Experimentation platforms — in 1 other listing on The Stack
- Analytics infrastructure — in 1 other listing on The Stack
- Statistical foundations — not in any other listing on The Stack
- Causal inference — in 18 other listings on The Stack
- Data science — in 86 other listings on The Stack
- Platform adoption — not in any other listing on The Stack
- AI-augmented analytics
- Data engineering
- Product roadmap
- Stakeholder management
- Data governance
- Machine learning
- E-commerce marketplace dynamics
On The Stack (as of 2026-11-05)
Frequently asked questions about trivago
Is this Product Manager - Decision Intelligence & Experimentation role still open?
It was posted on 2026-09-29. Listings more than 30 days old may no longer be active, so check trivago's site before applying.
Does trivago offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on trivago's site.
Where is this role located?
The listing gives the location as Germany. It is marked on-site.
What skills does this role ask for?
The listing names: Product management, A/B testing, Experimentation platforms, Analytics infrastructure, Statistical foundations, Causal inference, Data science, Platform adoption, AI-augmented analytics, Data engineering, Product roadmap, Stakeholder management, Data governance, Machine learning, E-commerce marketplace dynamics.