Senior Data Product Builder — Remote

Big Data Industry

United States

Remote

USD 120,000 - 170,000

Full time

3 days ago
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Job summary

Launchmetrics is seeking a Senior Product Builder with a data focus to own missions on our Data Collection and Enrichment Systems. You will drive end-to-end work from scoping to adoption in a pod-based setup, collaborating with engineers and leadership to shape our data strategy.

You’ll work with SQL, data modelling, pipelines, and APIs to improve data quality and delivery across the SaaS platform, while staying aligned with market trends in brand measurement and fashion/luxury brand needs.

Qualifications

  • Experience in product management or data management in a SaaS environment.
  • Fluent in SQL and comfortable with data modelling, pipelines and APIs.
  • Understanding of the data lifecycle from acquisition to delivery; analytical mindset.

Responsibilities

  • Talk to users and translate their needs into measurable product requirements; collaborate with engineers daily.
  • Own missions end to end: scope, build with the pod, enable and monitor adoption for Data Platform missions.
  • Master our data flow across acquisition, enrichment, and management to improve delivery speed and reliability.
  • Define metrics and KPIs for adoption and performance; analyse and feed learnings into prioritisation.
  • Monitor market trends in brand measurement to sharpen strategy.
  • Collaborate with engineers, business stakeholders and leadership; communicate clearly across disciplines.
  • Contribute to shared tooling and processes; help the data domain improve over time.

Skills

5 years in product management or data
SQL fluency
Data modelling
APIs
Business sense
Discovery instinct
Clear English communication

Job description

Launchmetrics is seeking a Senior Product Builder with a data focus to own missions on our Data Collection and Enrichment Systems. You will drive end-to-end work from scoping to adoption in a pod-based setup, collaborating with engineers and leadership to shape our data strategy.

You’ll work with SQL, data modelling, pipelines, and APIs to improve data quality and delivery across the SaaS platform, while staying aligned with market trends in brand measurement and fashion/luxury brand needs.

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