Senior Product Manager - Inventory Optimization & ML Allocation

Locations: Zurich, London

Technology

In short
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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
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• 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.

• 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.

Zürich

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.

Förrlibuckstrasse 190,

8005

Switzerland

Location

London

Home to nearly 3000 parks, a population speaking more than 300 languages, and a vibrant art and music scene, London is one of the world’s most loved cities for good reason.

12 Fleur De Lis Street,

E1 6DB

United Kingdom

Location
What we offer
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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.

Build the better you
What to expect
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We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two\-way street – bringing you into our culture, while helping us learn how you think.

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.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day\-to\-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.

• ### Step One

It starts with you...

You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

• ### Step Two

Interview with a recruiter

What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

• ### Step Three

Interview with a hiring manager

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.

• ### Step Four

The Case Study

What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

• ### Step Five

The Experience Day

Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day\-to\-day at On and the people who make it happen. You'll chat with a few potential teammates \- the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

• ### Step Six

The Result

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.

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