Senior Product Manager – Data Science and Machine Learning
Are you excited by the challenge of shaping how users discover the perfect result in a sea of options? A fast-scaling consumer platform is looking for a technical product leader to drive its ranking and personalisation engine – already powered by machine learning and used by millions across the globe.
What You’ll Do:
📈 Drive Smart Search: Own the product direction of search ranking systems that sit at the core of user experience and business growth.
🔬 Bridge Tech and Strategy: Work side-by-side with data scientists and engineers to translate business goals into algorithms, metrics and experiments.
🔍 Make It Measurable: Define KPIs, track outcomes, and champion a culture of iterative, data-informed development.
⚙️ Own the Infrastructure: Oversee search backend systems that are built to scale – from ranking algorithms to real-time personalisation.
🤝 Lead Collaboration: Keep communication clear and productive across cross-functional teams, ensuring alignment and speed.
The Team:
You’ll be joining a tight-knit product team working alongside highly skilled engineers, data scientists and a dedicated Engineering Manager. It’s a low-ego, high-autonomy environment where ideas rise fast, and impact is felt immediately. Everyone contributes to technical decisions, product direction, and ultimately, the experience delivered to millions of users.
What They’re Looking For:
✅ 4+ years of experience as a Product Manager (or Data Scientist with strong product ownership)
✅ A background in ranking, recommendation, or search-related domains
✅ Solid understanding of machine learning fundamentals and search infrastructure
✅ Strong technical fluency and experience working closely with engineering and data science teams
✅ Knowledge of databases and backend systems (PostgreSQL, Elasticsearch, MongoDB)
✅ Excellent communication and prioritisation skills
✅ Bonus: Experience working in a startup or fast-growing tech environment
What They Offer:
Salary range is 85-100k. And on top of that:
💼 Hybrid work setup with 2 office days per week
🎓 Personal learning budget + 2 extra study days annually
🌎 8 weeks per year remote working from other offices
💪 Discounted premium gym membership
🎁 Bonus, pension, healthcare
🏡 Big discounts on properties across their own platform
Key Skills
Ranked by relevance
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- Posted
- Jul 22, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Munich
- Company
- Venture Up
Industries
Categories
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