# Product Manager - Decision Intelligence & Experimentation at trivago

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own the product roadmap for trivago’s A/

- **Company:** trivago (https://jobs.trythestack.co/companies/trivago)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** 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
- **Posted by employer:** 2026-09-29
- **Added to The Stack:** 2026-09-30
- **Listed until:** 2026-11-28
- **Status:** Active
- **Apply:** https://careers.trivago.com/apply/8573270002.?gh_jid=8573270002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/product-manager-decision-intelligence-experimentation-trivago

## 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.

## FAQ

- **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.

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