The Inventory Optimization & Allocation domain operates as an AI-first intelligence hub at the critical intersection of data science, physical logistics, and commercial growth. Reporting to the Senior Lead / Head of Supply Chain Technology, the Senior / Lead AI Product Manager owns both real-time inventory visibility and the intelligent allocation of inventory across Direct-to-Consumer (D2C), Retail Stores, and Wholesale/Partner channels. This role guides the evolution from a rules-based heuristic engine to a fully Machine Learning (ML)-driven model, leading with science to define initial allocation strategies and deploy real-time AI agents that dynamically rebalance stock

Your Mission

• Own Inventory Visibility: Drive the strategy and reliability for the high-speed Inventory Visibility Service (IVS), ensuring accurate, sub-second inventory counts across every node in the global supply chain network
• Stabilize Current Systems: Take ownership of the existing heuristic allocation engine, identifying bottlenecks, patching critical logic gaps, and stabilizing performance to guarantee reliable daily operations
• Guide the ML Transition: Partner closely with Supply Chain Operations to build trust in algorithmic decision-making, mapping the transition from legacy manual rule sets to continuous ML forecasting
• Shape Optimal Channel Split: Design and guide the development of ML optimization engines that determine the most profitable distribution of inventory across core channels, co-creating a modern architecture alongside Data & AI
• Define First Allocation Strategy: Establish predictive initial placement models that maximize full-price sell-through at product launch, replacing historical spreading with advanced scientific metrics like the cost of deviation to quantify financial risk
• Deploy Agentic Signals: Build and launch real-time AI agents that capture external news and market sentiment, connecting these signals directly into allocation workflows to autonomously trigger stock rebalancing
• Champion Product Leadership: Direct the domain roadmap with a strict focus on outcomes, empowering science and engineering teams to solve foundational business problems while integrating systems with Microsoft Dynamics 365, OMS, and the Supply Chain Control Tower via event-driven APIs

Your story

• Experience: 8+ years of technical product management experience blending core supply chain optimization (inventory visibility/OMS) with machine learning and data science product development
• System Migration: A proven track record of stabilizing legacy heuristic rules engines and successfully transitioning business operations to algorithmic, ML-driven models
• Scientific Acumen: Demonstrated literacy in optimization models, probabilistic forecasting, linear programming, or financial risk modeling (e.g., cost of deviation)
• AI Expertise: Strong capabilities in modern AI applications, specifically deploying autonomous agents, processing unstructured external data, and orchestrating automated decision workflows
• Product Mindset: Proven ability to lead cross-functional science and engineering teams through a true product lens, prioritizing continuous discovery, experimentation, and measurable business impact over project outputs

We reinvent production. The Supply Chain Systems and Innovation team powers On’s production with next-level tech. We’re always thinking about what’s next. From streamlining inventory to automating order fulfillment, we design, implement and optimize systems that make everything run more smoothly. By embracing cutting-edge tools and processes, we boost efficiency, eliminate errors and keep On agile

Just by the banks of the Limmat you’ll find our largest global hub in Zürich West – On Labs – where you can hike up 12 floors through our custom-built spiral trail

What we offer

• On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose
• On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination
• Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things

Ready to dig into the details?This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum

Are we a good fit?We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you?No matter the outcome, we’ll give you meaningful feedback

You'll start by submitting your application to a specific role