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Lead - Technology Product Manager

On Holding AG - London; Zurich

Posted Mar 5, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Surrogacy assistance: Not verified
Mental health support
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Childcare support
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Market context

Median wage (BLS OEWS)
$102,662 national median
Projected growth (BLS Employment Projections)
+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Assessment
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Deadline
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Where they hire

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About this role

Lead - Technology Product Manager London; Zurich Lead Technical Product Manager, Operations AI & Data The Team The Product Management Technology team is the digital backbone of On's product creation engine. We are a team of strategic product leaders who partner with core business functions-from R&D and Design to Sourcing and Supply Chain-to build the platforms and systems that power On's growth. Our mission is to create a seamless, intelligent, and efficient digital ecosystem that enables our teams to design and deliver the next generation of revolutionary products. We are internal entrepreneurs, deeply embedded in the business, who identify complex challenges and build elegant, scalable solutions. As a member of our team, you will have a unique opportunity to drive significant transformation and make a tangible impact on the future of one of the world's most exciting brands. The Role At On, our supply chain is the backbone of our global operation. We are looking for a visionary Lead Technical Product Manager to spearhead the next evolution of our supply chain by harnessing the power of Artificial Intelligence and data. In this leadership role, you will be the bridge between our complex operational challenges and cutting-edge data solutions. You will be responsible for identifying high-impact opportunities where data, AI and automation can revolutionize our planning, logistics, and decision-making processes. Your expertise will be in understanding the business, the data, and the possibilities of AI to define a compelling product vision and guide our AI, data and engineering teams to build

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