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Lyst, a London-based global fashion platform, seeks a Senior Product Manager to own the integrated roadmap for Affiliate Operations, Commercial Enablement and Product-Data Enrichment. You will translate commercial priorities into technical work and partner with Engineering, Data Science and Marketing to deliver secure, scalable production capabilities.
You will define success metrics, drive collaboration across Paid Marketing, Partnerships and Product & Technology, and manage a healthy backlog
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 and luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores.
Own the joined-up roadmap for the Affiliate Operations team, Commercial Enablement and Product-Data Enrichment, with clear outcomes, sequencing and measures of success Turn commercial priorities into well-shaped technical work, partnering with stakeholders who may already have a strong view of the solution Decide when a request should be delivered directly, when assumptions need testing, and when repeated one-off work should become a reusable platform capability Partner with the Engineering Lead and team to clarify scope, dependencies and acceptance criteria, maintain a healthy backlog and improve delivery predictability Lead planning and communication across Paid Marketing, Partnerships, Operations, Data Science and Product & Technology, making trade-offs and capacity constraints explicit Act as the primary Lyst product contact for the NZ-based Data Science team, aligning roadmaps and turning research outputs into secure, observable and supportable production capabilities Define and track outcomes across commercial performance, data quality, platform reliability and operational efficiency product feeds (e.g. for Google Merchant Center), conversion APIs, cost APIs, attribution, reporting and integrations for channels such as Pinterest and Reddit common services, data contracts and self-service tooling that reduce duplicated work across channels and campaigns productionising bidding, measurement and optimisation models with the controls, monitoring and feedback loops needed to operate them safely partner feed ingestion and validation, merchant tooling and the services that connect catalogue and commercial workflows enrichment, merging, deduplication, entity resolution, taxonomy and measurable improvements to catalogue completeness and coherence joint milestones, experiments, data contracts, technical workshops and clear handovers across time zones SLAs, observability, runbooks, incident follow-up, peak readiness, BAU and a pragmatic technical roadmap across services such as Minion, Plasma, Merchant Uploader and Affiliate Service an effective intake process, transparent capacity allocation and clear communication of progress, risk and trade-offs
Experience in product management for technical, data or platform products; we expect this will usually mean at least four years in relevant roles Experience working on a MarTech team and/or with marketing and commercial stakeholders Enough technical depth to work confidently with APIs, schemas, data contracts, ETL or ingestion pipelines, event flows and production systems A track record of turning ambiguous or fragmented stakeholder needs into coherent, deliverable roadmaps without adding process for its own sake Excellent delivery judgement: you can distinguish discovery from execution, define the right level of product work and keep teams moving Experience balancing planned roadmap work with operational demand, technical debt, incidents and reliability improvements Confidence working with commercially accountable stakeholders, including constructively challenging a proposed solution when the evidence supports it Experience working with engineers and data scientists to take models, pipelines or data products from research or prototype into production A practical, low-ego approach. You care about outcomes, dependable delivery and the long-term health of the systems behind them