Product Manager - Decision Intelligence & Experimentation
Trivago is hiring a Product Manager - Decision Intelligence & Experimentation in Düsseldorf, Germany. Level rates it ; you can apply on Trivago.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- The posting mentions A B Testing, product management and data analytics among its tools and skills.
- Level classes it as a senior role.
- Trivago has 15 other open roles on Level.
AI in this role
Lead the product roadmap for A/B testing and drive the transition toward an AI-augmented analytics platform.
When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience - time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us!
Join us in making a difference
At trivago, every product decision is validated through data, every improvement is shipped through an experiment, and every insight should be instantly accessible to everyone who needs it. As Senior Product Manager for Decision Intelligence & Experimentation, you will own the platform that makes all of that possible — trivago's A/B testing infrastructure and analytics intelligence layer, embedded at the heart of Hotel Search.
In this role, you are shaping the platform that every product manager, data scientist, and business owner at trivago depends on to do their best work. You will own the roadmap, drive adoption across the organization, and lead trivago's transformation toward an AI-augmented analytics function — with executive sponsorship and company-wide scope. trivago's caring performance culture means you will be genuinely supported to grow and challenged to lead. If you want to own the platform that makes everyone else better at their job, this is your moment. Apply now.
How you'll make an impact
- Own the product roadmap for trivago's A/B testing infrastructure across web, mobile web, and app — turning experimentation into a company-wide, self-serve capability.
- Raise the bar on experiment quality: build the systems that turn individual tests into compounding organizational learning through metadata, cross-experiment insights, and searchable learnings libraries.
- Define the product vision for trivago's analytics intelligence layer — moving beyond static dashboards toward AI-assisted insight generation and proactive decision support.
- Lead the analytics AI transformation agenda: agent-assisted data querying, intelligent anomaly detection, automated narrative generation, and intelligent signals embedded in how teams work.
- Partner with Data Engineering and Data Science to build a governed, trustworthy data foundation that business teams can access autonomously.
- Develop training programs and adoption playbooks to raise experimentation literacy and data fluency across the organization.
- Create and drive the vision and roadmap for the product, align stakeholders, and facilitate product outcomes discussions with the team and senior leadership.
What you'll need to thrive
- 5+ years of product management experience, with at least 2 years owning A/B testing, experimentation platforms, or analytics infrastructure in consumer-facing digital products.
- Solid grasp of statistical foundations: significance testing, power analysis, experimental design, and causal inference
- Demonstrated experience building platforms with dual audiences — technical users (engineers, data scientists) and self-serve business users.
- A proven track record of driving platform adoption, beyond shipping features.
- Strong communication skills: able to bridge statistical complexity and platform constraints with confidence at all levels of the organization.
- A genuine learning mindset — you approach challenges with curiosity, seek out feedback, and continuously look for ways to develop and grow.
- A performance mindset — you set ambitious goals for yourself and have the determination and resilience to follow through and achieve them.
- An open and curious mindset toward AI tools and automation — you actively explore how AI can enhance your work and are excited to grow alongside evolving technologies.
Stand out with:
- Experience integrating AI or LLMs into analytics or data products (agent-based querying, auto-insights, or natural language interfaces).
- Familiarity with travel or e-commerce marketplace dynamics.
- Experience building internal data products with governance, access control, and data quality standards.
Not ticking every box? We still want to hear from you. Apply, tell us what motivates you, and you could be a great match—now or in the future. Your application does not need to include a photo.
This is the recruitment process that you can expect for this role (subject to modifications):
- One-way video interview
- First call with recruiter
- Technical interview with team
- Interview with stakeholders
- Final interview with Lead
Want to know more about life at trivago? Check out what our colleagues say on kununu and Glassdoor.
What you can look forward to
trivago is a place where technical ambition meets genuine investment in your growth — here's what you can look forward to:
As you grow, so do we.
This is why at trivago, we prioritize your development, offer personalized coaching through Nilo, and provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.
Enjoy your office days.
Use your daily canteen budget to share lunch with colleagues in our canteen, help yourself to complimentary snacks and drinks in our kitchens, choose from a variety of fitness options with our on-site gym, sports classes, and Urban Sports Club membership, and enjoy the comfort of ergonomic desks and focused work areas.
Moving to join us?
No problem. You can count on the visa support from our talent support team, a relocation package, interest-free newcomer loan, free language classes, regular team and many company-wide events to build experiences together.
Life happens.
We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, up to 2 work from home days weekly. Additionally you can work remotely from a different location, within Germany or selected countries abroad for up to 20 days per year. You also get free access to the Heycare platform for personalized nanny assistance, and an on-campus kids room.
#LI-DNI
Thank you for considering a career at trivago! Our commitment to fostering an inclusive and enriching environment for all talents is at the heart of what we do. We understand that embarking on a new job opportunity is a blend of excitement and curiosity. Should any questions arise before you apply, feel free to reach out to us at joinus@trivago.com. Join us in our mission to make a positive impact on global travel, we look forward to your application!
#LI-Hybrid
How we rate this
Product Manager - Decision Intelligence & Experimentation at Trivago rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI product manager job
- $179k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- What's a project where you used A B Testing hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Product Management, Data Analytics, Experimentation, and A B Testing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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