The Team
The Product Management Technology team serves as the digital backbone of On's product creation engine. We are a dynamic group of strategic product leaders collaborating with core business functions—from R&D and Design to Sourcing and Supply Chain—to develop the platforms and systems that drive On's growth.
Our mission is to create a seamless, intelligent, and efficient digital ecosystem that empowers our teams to design and deliver the next generation of revolutionary products. We act as internal entrepreneurs, deeply embedded in the business, identifying complex challenges and crafting 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 seeking 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 bridge the gap between our complex operational challenges and cutting-edge data solutions. You will identify high-impact opportunities where data, AI, and automation can revolutionize our planning, logistics, and decision-making processes. Your expertise will lie 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 in building solutions that deliver immense value. As a Lead, you will also play a key role in mentoring other product managers and shaping the product culture within the team.
What You'll Do
- Own the Data & AI Product Vision: Develop and champion a clear product strategy and roadmap for Data & AI-driven initiatives within the supply chain domain.
- Identify Opportunities: Collaborate closely and build relationships with supply chain stakeholders to deeply understand their processes, data challenges, and automation pain points.
- Translate Problems into Solutions: Convert ambiguous business problems into well-defined product requirements, user stories, and specifications for our data science and engineering teams to drive measurable value.
- Prioritize for Impact: Create and manage a data-driven product backlog, prioritizing features and initiatives that deliver the highest value to the business.
- Define Success: Establish and monitor key performance indicators (KPIs) to measure the effectiveness and impact of your AI/data products, in partnership with analytics.
- Bridge the Gap: Serve as the primary liaison between business leaders, supply chain operators, data scientists, and engineers, ensuring alignment and clear communication across all teams.
What You'll Bring
- Leadership Experience: Proven experience as a Technical Product Manager, with a demonstrated history of leading significant products or initiatives from concept to launch.
- Supply Chain Acumen: Strong experience with supply chain data and a solid understanding of core supply chain principles (e.g., demand forecasting, inventory management, logistics).
- AI/Data Fluency: Basic familiarity with AI and machine learning concepts, with a talent for translating business needs into data-driven solutions. You need not be an AI expert, but you must excel in collaborating with engineers and data scientists.
- Analytical Mindset: Ability to creatively identify the right success metrics and analyses that provide key insights into product functionality.
- Technical Aptitude: Comfortable in a technical environment and capable of engaging in discussions about data models, APIs, and system architecture.
- Strategic Problem-Solver: Skilled at distilling large, complex problems into actionable steps, with a strategic mindset to see the bigger picture.
- Exceptional Communication: Outstanding ability to convey complex ideas clearly and effectively to both technical and non-technical audiences.
Application Process
Apply online using the form below. Only applications matching the job profile will be considered.