Senior Product Builder
launchmetrics
| Company | launchmetrics |
| Category | Product |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 16 Jul 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (teamtailor) |
Description
ABOUT LAUNCHMETRICS Launchmetrics is the leading Brand Performance Cloud used by Fashion, Lifestyle and Beauty (FLB) executives to make smarter decisions around their branding efforts. With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences. Founded in NYC and with operating headquarters in Paris, we have employees in ten markets worldwide and offer support in five languages. We have been the trusted brand performance technology to brands worldwide such as Dior, Fendi, Shiseido, NET-A-PORTER and Adidas as well as industry partners like IMG, the Council of Fashion Designers of America, the British Fashion Council, and Camera Nazionale Della Moda Italiana. How we work: pods and crafts We recently moved our Product and Tech teams to a pod model, and it changes the shape of this job in ways worth understanding before you apply. A pod is a small group, 1 to 4 people, that owns a single mission end to end: from scoping and building through cleaning, enablement and watching adoption. Pods form around a mission and dissolve when it's done. Everyone is a pod owner, from the most junior person to the most senior, because ownership is the point. Your craft is your main area of expertise: Design, Tech, or Data. It's the discipline you go deep in. Your domain is your product-area home, the part of our software suite you know best. Pods change with every mission; your craft and your domain don't. ABOUT THE ROLE We're looking for a Senior Product Builder with a Data expertise to own missions on our Data Collection and Enrichment Systems. At Launchmetrics, the core of our Metrics value comes from the data we deliver through our SaaS solution. Our client buy data as much as they buy access to a platform. The Data Collection and Enrichment domain is in charge of collecting the data, enriching it and making it accessible in an efficient and reliable manner to the other domains. If you like the idea of owning a problem end to end, care about data quality the way other people care about pixel alignment, and want to work on forward thinking and AI centric projects, this role is for you. As a Senior Builder here, you'll own missions on that domain from scoping to adoption, and you'll be one of the references for building our Data strategy, with the support of our VP Product. You operate as a fully autonomous pod owner. WHAT YOU'LL DO Talk to your users. A lot. Turn the needs of customers and internal teams into product requirements that can be measured, and work with engineers day to day to deliver them. Own missions end to end. Scope, build with the pod, enable and monitor adoption for Data Platform missions, keeping a clear source of truth so everyone can see where things stand. Master our data flow. Work across acquisition, enrichment (manual, rule-based and AI-based) and management (datalake, APIs) to make data delivery faster and more reliable. Measure what matters. Define the metrics and KPIs for adoption and performance of what you build, then actually analyse them and feed the learnings back into prioritisation. Keep an eye on the market. Stay close to the competitive landscape and where brand measurement is heading, and let that sharpen your thinking. Collaborate with stakeholders. Collaborate with engineers, business stakeholders and leadership, speaking the right language to each. Raise the bar around you. Contribute to shared tooling and processes, and help the data domain get sharper over time. WHAT WE'RE LOOKING FOR This role sits at the Builder stage of our framework. Concretely, that means: Experience. Around 5 years in product management or data management, ideally shipping alongside engineers in a SaaS environment. Deep in Data. You're fluent in SQL and comfortable with data modelling, pipelines and APIs. You understand the data lifec
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