Senior Technical Product Manager - Commercial Data
SumUpBerlin, GermanyPosted 30 March 2026
Job Description
SumUp builds financial solutions for millions of small businesses worldwide. Our Commercial Data Products power the systems that drive how we measure performance, reward growth, and scale our sales organisation.
As a Senior Technical Product Manager for Commercial Data products , you will own the strategy, discovery, and prioritisation of initiatives that form the backbone of SumUp’s commercial foundation, from attribution models to commissions and incentives. You will bring clarity to a fragmented landscape, consolidating multiple models and data sources into a single, trusted system that enables accurate measurement and fair, scalable incentive structures. This role requires strong technical and analytical depth, allowing you to navigate complex data eco-systems and partner effectively with engineering and analytics teams.
You’ll work closely with Sales Channels, Pricing, Finance, and Incentives stakeholders, as well as engineering and data teams, to build robust and reliable data products within the Commercial Systems Intelligence domain. Together, you will establish a product-led “Sales DNA,” ensuring that our commercial data is accurate, accessible, and actionable, empowering teams across SumUp to make better decisions and drive sustainable growth.
What you’ll do:
Set the strategy and success metrics for Commercial Data products, prioritising scalability, reliability, and accuracy for Attribution and Commission.
Partner with Revenue, Data Platform, and analytical teams to migrate key logic from analytical pipelines into a robust, service-oriented architecture.
Translate business objectives into data-driven incentive structures and measurable performance KPIs by working closely with Sales, Marketing, and Finance teams.
Create data products that expose attribution and commission insights via self-serve tools for commercial and finance stakeholders.
Lead the discovery and delivery of advanced attribution logic, including multi-touch and dynamic reassignment models for future commercial impact analysis.
You’ll be a great fit for this role if:
You have proven experience delivering in complex data ecosystems and building scalable, reliable data products.
You can effectively collaborate with engineering teams, interpret API specs and data schemas, and contribute to system architecture design.
You have a deep understanding of data reliability metrics, including latency, lineage, and service performance (SLOs/SLIs).
You excel at translating complex technical concepts into clear, actionable product definitions for both technical and non-technical audiences.
You can balance short-term data quality improvements with long-term platform evolution and vision.
You have experience with commission/incentive modeling or marketing and sales attribution (multi-touch, MMM).
Why you should join SumUp?
🌎 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp’s future success
📚 A dedicated annual LD budget of €2000 for attending conferences and/or advancing your career through further education 💶 A corporate pension scheme where we match up to 20% of your contributions
🏖️ Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days
🚵🏾♂️ Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches
🌴 Break4me: 1-month sabbatical after 3 years of service
🔗 Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team
About SumUp :
Be empowered to do more that matters.
At SumUp, we're on a mission to empo ... (truncated, view full listing at source)
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