Negotiable
Fixed-Term
Hybrid
London, England, United Kingdom
Summary: The role of Technical Product Manager - Affiliate Operations at Lyst involves leading the Affiliate Operations product team and managing the partnership with ZOZO's Data Science team. The position focuses on enhancing product data quality and discoverability while supporting commercial initiatives through technical product management. The successful candidate will work cross-functionally to translate data science research into actionable product improvements. This is a strategic role that requires strong technical literacy and stakeholder management skills.
Key Responsibilities:
- Lead the Affiliate Operations strategy and roadmap, prioritizing initiatives to improve data quality and discovery metrics.
- Define product data models and taxonomies, owning product data quality KPIs and remediation workflows.
- Manage the relationship with ZOZO's data science team, aligning roadmaps and translating research into production requirements.
- Set and measure SLAs for data freshness, accuracy, and output quality.
- Liaise with Partnerships and Commercial teams to align product-data priorities with business objectives.
- Improve team rituals, prioritization, and delivery cadence within the Affiliate Operations product practice.
- Create and maintain an outcome-driven roadmap for Affiliate Operations and commercial initiatives.
- Run regular cross-organization planning with ZOZO and Affiliate Operations.
- Define and track OKRs tied to listings quality and commercial outcomes.
- Build the backlog and intake process for operational work and tooling requests.
- Communicate progress and trade-offs clearly to senior stakeholders.
Key Skills:
- 3-6+ years of product management experience with a technical/data focus.
- Strong technical literacy, comfortable with APIs, data schemas, and ETL/ingestion pipelines.
- Experience working with data scientists and engineering teams to productize models and features.
- Proven stakeholder management and delivery track record.
- Excellent written and verbal communication skills.
- Agile delivery experience with a focus on measurable outcomes.
- Experience in ecommerce marketplaces or affiliate commerce is a plus.
- Familiarity with taxonomy design and image/data enrichment workstreams.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: fixed-term
Seniority Level: Mid-Level
Industry: IT
Please note 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.
Requirements 3-6+ years product management experience, with a technical/data focus (hands-on TPM or Senior TPM) Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling Experience working with data scientists and engineering teams to productise models and features for production Proven stakeholder management and delivery track record - you can run complex cross-functional projects and manage external technical partners Excellent written and verbal communication; experience coordinating across time zones and cultures Agile delivery experience and a bias toward measurable outcomes Nice to have Experience in ecommerce marketplaces or affiliate commerce Exposure to machine learning/MLops or productionising ML models Prior experience working with an external data-science partner or international R&D partner Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams Experience working with affiliate operations or merchant operations teams.
Benefits Our Ways of Working: We all come into the office on Tuesdays and Thursdays , with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March Remote Working: Work from anywhere for up to 4 weeks per year Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.