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Lyst

Global online fashion marketplace with recommendations

Technical Product Manager - Product Data & Revenue Platforms

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Experience in product management for technical, data or platform products, usually meaning 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.
  • Ability to distinguish discovery from execution, define the appropriate 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 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 focused on outcomes, dependable delivery and the long-term health of the systems.

Responsibilities

  • Own the joined-up roadmap for Affiliate Operations, 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 New Zealand-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.
  • Develop paid-channel enablement, including product feeds, conversion and cost APIs, attribution, reporting and integrations for channels such as Pinterest and Reddit.
  • Build reusable commercial capabilities, including common services, data contracts and self-service tooling that reduce duplicated work across channels and campaigns.
  • Productionise bidding, measurement and optimisation models with controls, monitoring and feedback loops needed to operate them safely.
  • Develop partner and affiliate platforms, including partner feed ingestion and validation, merchant tooling and services connecting catalogue and commercial workflows.
  • Improve product-data quality through enrichment, merging, deduplication, entity resolution, taxonomy and measurable improvements to catalogue completeness and coherence.
  • Coordinate ZOZO collaboration through joint milestones, experiments, data contracts, technical workshops and clear handovers across time zones.
  • Maintain platform health through SLAs, observability, runbooks, incident follow-up, peak readiness, BAU and a pragmatic technical roadmap across services including Minion, Plasma, Merchant Uploader and Affiliate Service.
  • Manage portfolio intake, transparent capacity allocation and clear communication of progress, risk and trade-offs.

About the Company

Lyst

Global online fashion marketplace with recommendations

Lyst operates an online fashion marketplace that aggregates products from more than 12,000 brands and stores worldwide, letting shoppers browse and compare items in one place. Its platform uses a powerful search engine and personalized recommendations to surface products, trends, and new arrivals, and it enables brand and release alerts to notify users when items drop or go on sale. Sales are earned mainly through a commission on purchases, and it offers a membership program that notifies members when items go on sale to encourage purchases. Compared with competitors, Lyst differentiates itself with its large network of partners, tailored shopping experiences, trend updates, and alert features that help users find desired fashion quickly and at favorable prices. The overall goal is to simplify online fashion shopping by consolidating a global catalog in one site, helping customers discover items they want and make buying decisions more efficiently.

Company size
201-500
Company stage
Acquired
Total funding
$200.4M
Headquarters
London, United Kingdom
Founded
2010

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