Technical Product Manager - Affiliate Operations (6 Month FTC)

Product Manager For Affiliate Operations

This role is offered as an initial 6 month fixed-term contract on a PAYE basis

Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology.

At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper.

The Role

We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product-data improvements.

You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment.

You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production-ready.

This role is highly cross-functional and strategic: if you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you.

What You'll Own

Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics.

Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored.

Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work.

Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear.

Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product-data priorities to business objectives (e.g. ROAS bidding algorithms).

People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence.

Day-to-Day Responsibilities

• Create and maintain an outcome-driven roadmap for Affiliate Operations and our commercial roadmap.
• Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria.
• Run regular cross-organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time-zone differences and ensure clear asynchronous handovers.
• Define and track OKRs tied to listings quality and commercial outcomes.
• Build the backlog and intake process for operational work, tooling requests and BAU.
• Communicate progress and trade-offs clearly to senior stakeholders.