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Staff Product Analytics Engineer

Runway

full-remoteleadpermanentdata Full remote 73 days ago via WTTJ

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Tags

Product AnalyticsSQLPythonETLData ModelingData PipelinesData PrivacySelf-Serve AnalyticsAI-FirstCross-Functional Collaboration

About the role

Role overview

Runway is hiring its first-ever Staff Product Analytics Engineer (full remote). You will ensure teams across the company use data effectively by owning product/business data infrastructure and pipelines, and applying an AI-first approach to scale internal data tooling.

Key missions

  • Own data infrastructure and pipelines for business-critical product and user data, ensuring accuracy and reliability.
  • Design and build internal self-serve analytics tools so teammates can easily access and use data.
  • Use an AI-first approach to scale data tooling and workflows.
  • Partner cross-functionally with teams such as sales, finance, product, engineering, trust & safety, marketing, and studios to ensure critical usage data is available and interpreted effectively.

Profile / requirements

  • Strong technical and product analytics background with experience understanding needs of cross-functional partners.
  • 4+ years of experience working as a data analyst, engineer, or scientist, primarily on product data.
  • Solid understanding of data modeling, data manipulation/transformation, and privacy best practices.
  • Ability to translate data needs into working solutions and build tooling teammates can comfortably use.
  • Proven ability to turn raw data into tools/platforms enabling self-service.
  • 4+ years of experience with: SQL, ETL, Python, and data modeling.
  • Collaborative mindset and strong communication; comfortable working directly with sales, product, finance, and engineering.

Nice-to-have

  • Experience as a founding product data analyst or first hire in a data role.

About Runway

Runway is a market-defining company in its early stages, building products that require data-driven decision making across teams. The role focuses on establishing and scaling internal product analytics infrastructure, pipelines, and self-serve tooling to support business-critical user and product data needs.

Scraped 5/13/2026