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Sunrise

Senior Platform Capabilities Manager 80-100%

Sunrise
Switzerland · Full-time · Mid-Senior

At Sunrise, we think bigger, go further and create new ideas. For us working culture means achieving great things together. It’s where respect and innovative ideas combine with real teamwork – every voice counts, every perspective makes us stronger. Our passion spurs us on to try new things and grow continuously. Sound like you? Then join our success story.

We are seeking an experienced and pragmatic Product Manager – Commercial ML Systems to lead the development and rollout of machine learning-based capabilities that directly support our commercial and go-to-market teams. In this role, you will be responsible for building and scaling ML-driven products that optimize core commercial functions such as pricing, targeting, segmentation, churn prediction, product recommendations, and more. You will partner closely with data scientists, ML engineers, IT and business stakeholders to turn commercial goals into high-impact, production-grade AI capabilities.

YOUR CHALLENGE:

  • Own the end-to-end product lifecycle of ML-based commercial optimisation tools (e.g., dynamic pricing, churn prediction, next-best-action models)
  • Translate business needs into product roadmaps, balancing technical feasibility, commercial impact, and stakeholder expectations
  • Collaborate closely with data science and engineering teams to ensure robust delivery of scalable, production-grade ML systems
  • Define and monitor success metrics (KPIs) aligned with commercial outcomes such as revenue uplift, churn reduction, or marketing efficiency
  • Engage with commercial stakeholders to identify pain points, generate ideas, validate solutions, and drive adoption
  • Continuously refine product features and models based on real-world performance, feedback, and business priorities
  • Work with IT and architecture teams to align on infrastructure, deployment, and model governance standards
  • Maintain transparency of progress, roadmaps and backlogs via tools like Jira, Confluence, Airfocus

YOUR SKILLS:

  • 5+ years of experience in product management, with a strong focus on data-driven or ML-based products
  • Solid understanding of machine learning fundamentals, model lifecycle, and MLOps principles – you don’t need to code, but you understand what makes a model viable in production
  • Experience working with commercial teams (marketing, pricing, customer retention, etc.) and translating business challenges into data-driven solutions
  • Proven track record of delivering products that leverage algorithms and data science to drive measurable impact
  • Familiarity with modern tech stacks and tools used in ML product development (e.g., Python, APIs, cloud ML platforms, monitoring tools)
  • Hands-on experience with agile delivery and product tools like Jira, Airfocus, Confluence, etc
  • Excellent communication skills, with the ability to navigate business and technical conversations with ease
  • Fluent in English (C1+); German a plus

At Sunrise, you’ll be working in a dynamic and multinational environment where every voice is heard, perspectives are shared and values are lived. Diversity isn’t just a program for us, it’s part of our DNA. By celebrating our differences, we achieve great things together.

Sunrise has partnered with «Advance – Gender Equality in Business». We’ve also been awarded the Swiss LGBTI label and «Fair-ON-Pay Advanced» certification as recognition for offering all our employees equal pay for work of equal value.

Ready to rise to the challenge? Then join the team and actively shape our future!

#ChallengersWanted

Information for agencies: Application dossiers sent or uploaded by placement agencies or similar are not desired, will therefore not be considered and will be deleted.

Key Skills

Ranked by relevance

machine learning confluence jira product manager python cloud mlops ai
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Posted
Aug 15, 2025
Type
Full-time
Level
Mid-Senior
Location
Opfikon
Company
Sunrise

Industries

Telecommunications

Categories

Consulting Information Technology Sales

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