Product Manager - Automated Inventory Planning (AIP Repeat Tool) 

At ASOS, Product and Technology are central to how we simplify the business, improve experiences for customers, colleagues and partners, and create the capabilities needed for future growth. Our teams work across business process, data and technology to solve complex problems and deliver measurable outcomes. 

We are undertaking a significant transformation as we move from Oracle to Microsoft Dynamics and rethink how colleagues and partners interact with enterprise platforms, including through automation, AI-enabled experiences and agentic workflows. 

As a Product Manager at ASOS, you’ll work across functions to define meaningful outcomes, simplify how the business operates and lead teams from discovery through delivery, adoption and continuous improvement. 

You’ll join our Fashion Product Team, which supports internal customers across business, operations and supplier functions. The team’s broad remit spans the products, platforms, data and processes that help colleagues and suppliers work effectively across the product lifecycle, from product and supplier setup through ordering, inbounding and operational support. 

This role follows a hybrid working model, with an expectation that you will work on-site from our London office three days per week, enabling close collaboration with business, operational, product and technology teams. 

The Details 

We’re looking for a Product Manager to own the ASOS Inventory Planning Tool – AIP Repeat Tool, our automated inventory planning product that recommends the optimal repeat-buy quantity for Buying and Merchandising teams. The tool combines forecasting inputs, current inventory, supplier lead times, open PO commitments and merchandising overrides to calculate the optimal quantity, fulfilment centre split and size distribution for repeat buys. As purchase order creation moves into PLM and Microsoft Dynamics, you’ll lead the tool’s evolution into the ‘smart engine’ that supplies quantity intelligence to PLM-led and AI-enabled buying journeys, while expanding adoption across our buying models. You’ll work in a cross-functional team spanning business, data and engineering to automate repeat buy decisions, improve forecast trust and stock availability, and simplify how merchandisers and buyers plan and raise repeat orders. 

• Independently define the vision, roadmap, direction and measurable outcomes for the AIP Repeat Tool, validating hypotheses and plans with other Product Managers, Buying and Merchandising, Planning and key stakeholders. 

• Lead discovery with Buying and Merchandising, Planning, Forecasting and Data Science, Supply Chain, Finance and technology teams to understand how repeat-buy decisions are made today and where automation can add the most value. 

• Shape how the Repeat Tool integrates with PLM, AI-enabled buying, including API design, data contracts, size and fulfilment centre splits, and clear boundaries between quantity recommendation and PO orchestration. 

• Drive the expansion of the tool across buying models, managing dependencies on upstream data feeds, integrations and partner teams.

• Translate business needs into clear user stories, acceptance criteria, process flows and prioritized delivery increments for the Repeat Tool, its integrations and reporting. 

• Develop KPIs, baselines and targets that show we deliver the right inventory at the right time. Define input accuracy and outcomes to guide priorities.

• Act as the day-to-day product partner for Engineering, Data and delivery teams, including third-party delivery partners, making informed trade-offs and maintaining clarity on scope, dependencies and outcomes. 

• Keep senior stakeholders informed of progress, risks and decisions, and challenge requests constructively where they conflict with agreed outcomes or introduce avoidable complexity. 

• Support user validation, testing, business readiness, rollout and continuous improvement.