Senior Product Manager - Inventory Optimization & ML Allocation

Senior Product Manager - Inventory Optimization & ML Allocation

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the transition to AI-driven inventory management and optimise stock allocation across channels.
  • Company: Join a forward-thinking tech company focused on innovation in supply chain systems.
  • Benefits: Competitive salary, inclusive culture, and opportunities for personal and professional growth.
  • Other info: Dynamic team environment in vibrant Zurich, fostering creativity and collaboration.
  • Why this job: Make a real impact by shaping the future of inventory optimisation with cutting-edge technology.
  • Qualifications: 8+ years in product management with expertise in supply chain and machine learning.

The predicted salary is between 63000 - 77000 £ per year.

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, prioritising continuous discovery, experimentation, and measurable business impact over project outputs.

About the Team

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 optimise 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. 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. 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.

Senior Product Manager - Inventory Optimization & ML Allocation employer: ON.com LLC

On London is an exceptional employer that prioritises a vibrant work culture and employee development. As a Store Experience Leader, you will benefit from comprehensive training programmes, opportunities for career advancement, and a supportive team environment that encourages creativity and innovation. Located in the heart of London, our store offers a dynamic atmosphere where you can thrive while delivering a premium customer experience.

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Contact Details:

ON.com LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Manager - Inventory Optimization & ML Allocation

Join Supply Chain Meetups

Get yourself out there by attending supply chain meetups and industry events. It's a great way to meet fellow professionals, learn about trends, and maybe even hear about job openings before they’re posted online.

Show Off Your Skills on LinkedIn

Don’t just sit back and wait for opportunities! Post insights or articles on LinkedIn about supply chain challenges or solutions you’re passionate about. This not only showcases your expertise but can catch the eye of recruiters looking for someone like you.

Engage with Supply Chain Communities

Dive into online communities related to supply chain operations like forums or groups on Reddit and LinkedIn. Engaging in discussions can help you network, get advice, and you might even stumble upon some hidden job opportunities.

Apply through Our Website

When you spot a position at ON.com LLC, make sure to apply through our website directly. It's often the quickest way to get your application in front of the right people and show that you’re genuinely interested in the role of Senior Product Manager - Inventory Optimization & ML Allocation.

We think you need these skills to ace Senior Product Manager - Inventory Optimization & ML Allocation

Inventory Visibility
Machine Learning (ML)
Data Science
Supply Chain Optimization
Heuristic Allocation
Predictive Modelling
Financial Risk Modelling

Some tips for your application 🫡

Show Your Supply Chain Savvy:Make sure to highlight your relevant experience in supply chain operations. Whether it’s managing logistics or coordinating with suppliers, we want to see examples of how you've navigated the complexities of the supply chain. Concrete achievements, like reducing costs or improving delivery times, will definitely catch our eye!

Quantify Your Impact:When listing your previous roles on your CV, go for numbers! Mention percentages or actual figures where possible—like how much you've improved efficiency or reduced waste. It's all about showing us the tangible impact you've made in your past positions in supply chain operations.

Tailor Your Cover Letter:In your cover letter, don’t just regurgitate your CV. Instead, connect your experiences specifically to the role at ON.com LLC. Share why you're passionate about supply chain operations and how this full-time role aligns with your career goals—I mean, who wouldn’t want to hear that!

Research and Reflect:Before you apply, take some time to research ON.com LLC and its supply chain operations. Reflect on how your skills and experiences can fit into their operations. Being able to discuss their challenges and how you can contribute to solving them in your application will really make you stand out!

How to prepare for a job interview at ON.com LLC

Know Your Basics in Supply Chain Management

Make sure you've got a solid grasp of key supply chain concepts like demand forecasting, inventory management, and logistics. We could be quizzed on these during technical rounds, so brush up on any software tools commonly used in the industry like SAP or Oracle. This knowledge will help us show we can hit the ground running!

Show Off Your Analytical Skills

Prepare to discuss real-world scenarios where you've used data analysis to solve supply chain challenges. If you've got experience with tools like Excel or Tableau, get ready to talk about how you've used these to optimise processes or improve efficiencies. Employers love seeing that we can turn data into actionable insights!

Highlight Your Teamwork and Project Management Skills

In a full-time role, collaboration is key. Think of examples where you've worked on cross-functional teams or managed projects. Sharing how you navigated challenges while working with diverse groups will show that we can thrive in a dynamic environment like at ON.com LLC.

Research Specific Challenges Faced by ON.com LLC

Look into any unique supply chain challenges ON.com LLC might be facing, whether it's sustainability, supplier relationships, or global disruptions. Being prepared to discuss these topics shows that we're not only informed but also genuinely interested in how we can contribute to their success. That’s a big plus in any interview!