Lyst
Overview Who are we? 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 are looking for a new engineer to join our Product Listings squad to help Lyst work on transforming the shopping experience of fashion lovers. You will work closely with our current engineers, designers, product managers, and analysts to develop new product features. As a member of the Product Listings team, you'll work on maintaining and improving our product data and marketing systems. The team is responsible for keeping good product data, transforming it for the rest of the company to empower user journeys and support effective marketing campaigns. We are data-driven and make decisions based on empirical results. You share the data mindset, can suggest pragmatic experiments to prove a hypothesis, and are willing to be proven wrong by data. Your role will be to drive technical improvements and innovations to the system through partnering with your product manager and tech leadership. First three months Within the first three months, you will be able to: Contribute to every part of our system, tests, documentation, as well as code and process. Collaborate with product managers, engineers, analytics, QA and designers. Ensure the stability of our system by improving the monitoring tools we use. Write resilient code that is well tested (unit, integration, etc.) and quality controlled. Engage in code reviews to ensure pragmatic code makes it to production. Be curious - not just the code, but the architecture of our platforms and everything that makes them work and the product. Participate in all team ceremonies and have direct input in the team's ways of working. Work inside Product Development tribe towards the success of the Lyst Marketplace, collaborating with key teams from Discovery, CRM or Paid Marketing. Gain expertise over our tools and services: Python, Docker, Github Actions, PostgreSQL, etc. About the team We improve and maintain services that ingest high volumes of product updates provided from thousands of different partners in parallel. We use Machine Learning to normalise and enrich the product data to improve the customer experience. We maintain systems critical for our analytics data and reporting. We strive to keep our services highly available and scalable. We aim to follow good observability standards and be proactive instead of reactive. We are fully AWS hosted, utilising a range of tools and setups: ECS, Docker, GitHub, GHA, Postgresql, Redis, SQS, Sentry and more. We support internal teams that work directly with fashion partners. We also support marketing executives and their campaigns with bespoke systems. We value collaboration and knowledge sharing within the team and beyond. We are a no-blame culture. Core Requirements Proven experience with Django/Python and web fundamentals. Strong knowledge of Software Architecture Design Principles. Communication: You can communicate clearly and are open to feedback when sharing ideas with everyone on the team. You can explain your ideas clearly and transform them into plans. You can design the solution to a complex problem. Quality - You strive to write code that is readable by everyone, well tested and robust in production. Code without rigorous tests helps no one. You aren't afraid to refactor existing code in favour of working around shortcomings. A thorough knowledge of automated testing, particularly unit testing. Knowledge of CI/CD pipelines like GitHub Actions (GHA). As a Senior Engineer, you can coach and mentor your peers. You can take problem statements and recommend solutions. You can take on a role of feature lead and own the delivery of a piece of software. Bonus points Experience with data pipelines with frequent updates at high scale Experience with ETL pipelines (DBT, Snowflake) Experience with Machine Learning technologies Things that matter to us You are curious at heart and like to take ownership of something to make it better. You like to focus on quality and improving systems. Being confronted with a difficult or strange problem makes you feel like a detective who wants to crack the mystery. Sense of ownership over products, features and services the team looks after. You have good experience dealing with legacy code. You like to build and improve dashboards to follow technical and business metrics. You have experience building for fault tolerance. 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 Benefits 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 provide 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. We offer a comprehensive healthcare scheme from the day you start. Training Allowance: Annual training allowance of £1,000 for conferences, courses and resources. Pension Scheme: Our pension provider is The People's Pension with a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Free eye test every year and discounts on glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle for you and provide a voucher to collect it. Transport Season Ticket Loan: Interest-free season ticket loan. Social Events: Frequent company-wide events and interest-based groups.
Overview Who are we? 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 are looking for a new engineer to join our Product Listings squad to help Lyst work on transforming the shopping experience of fashion lovers. You will work closely with our current engineers, designers, product managers, and analysts to develop new product features. As a member of the Product Listings team, you'll work on maintaining and improving our product data and marketing systems. The team is responsible for keeping good product data, transforming it for the rest of the company to empower user journeys and support effective marketing campaigns. We are data-driven and make decisions based on empirical results. You share the data mindset, can suggest pragmatic experiments to prove a hypothesis, and are willing to be proven wrong by data. Your role will be to drive technical improvements and innovations to the system through partnering with your product manager and tech leadership. First three months Within the first three months, you will be able to: Contribute to every part of our system, tests, documentation, as well as code and process. Collaborate with product managers, engineers, analytics, QA and designers. Ensure the stability of our system by improving the monitoring tools we use. Write resilient code that is well tested (unit, integration, etc.) and quality controlled. Engage in code reviews to ensure pragmatic code makes it to production. Be curious - not just the code, but the architecture of our platforms and everything that makes them work and the product. Participate in all team ceremonies and have direct input in the team's ways of working. Work inside Product Development tribe towards the success of the Lyst Marketplace, collaborating with key teams from Discovery, CRM or Paid Marketing. Gain expertise over our tools and services: Python, Docker, Github Actions, PostgreSQL, etc. About the team We improve and maintain services that ingest high volumes of product updates provided from thousands of different partners in parallel. We use Machine Learning to normalise and enrich the product data to improve the customer experience. We maintain systems critical for our analytics data and reporting. We strive to keep our services highly available and scalable. We aim to follow good observability standards and be proactive instead of reactive. We are fully AWS hosted, utilising a range of tools and setups: ECS, Docker, GitHub, GHA, Postgresql, Redis, SQS, Sentry and more. We support internal teams that work directly with fashion partners. We also support marketing executives and their campaigns with bespoke systems. We value collaboration and knowledge sharing within the team and beyond. We are a no-blame culture. Core Requirements Proven experience with Django/Python and web fundamentals. Strong knowledge of Software Architecture Design Principles. Communication: You can communicate clearly and are open to feedback when sharing ideas with everyone on the team. You can explain your ideas clearly and transform them into plans. You can design the solution to a complex problem. Quality - You strive to write code that is readable by everyone, well tested and robust in production. Code without rigorous tests helps no one. You aren't afraid to refactor existing code in favour of working around shortcomings. A thorough knowledge of automated testing, particularly unit testing. Knowledge of CI/CD pipelines like GitHub Actions (GHA). As a Senior Engineer, you can coach and mentor your peers. You can take problem statements and recommend solutions. You can take on a role of feature lead and own the delivery of a piece of software. Bonus points Experience with data pipelines with frequent updates at high scale Experience with ETL pipelines (DBT, Snowflake) Experience with Machine Learning technologies Things that matter to us You are curious at heart and like to take ownership of something to make it better. You like to focus on quality and improving systems. Being confronted with a difficult or strange problem makes you feel like a detective who wants to crack the mystery. Sense of ownership over products, features and services the team looks after. You have good experience dealing with legacy code. You like to build and improve dashboards to follow technical and business metrics. You have experience building for fault tolerance. 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 Benefits 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 provide 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. We offer a comprehensive healthcare scheme from the day you start. Training Allowance: Annual training allowance of £1,000 for conferences, courses and resources. Pension Scheme: Our pension provider is The People's Pension with a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Free eye test every year and discounts on glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle for you and provide a voucher to collect it. Transport Season Ticket Loan: Interest-free season ticket loan. Social Events: Frequent company-wide events and interest-based groups.
Lyst
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. Qualifications 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. Our Ways of Working Office Days: 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. 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 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: All employees are entitled to an annual training allowance of £1,000 for 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, and you will 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.
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. Qualifications 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. Our Ways of Working Office Days: 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. 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 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: All employees are entitled to an annual training allowance of £1,000 for 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, and you will 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.