Founding Staff Analytics Engineer

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Runway

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

📱 Media

Artificial Intelligence • SaaS • Media

Runway is a company building foundational "Real-World Intelligence" — large models and systems that can understand, simulate and act in the visual world. It offers three main product platforms built on these models: Runway Creative, an all‑in‑one cloud creative suite for generating and editing video, images and audio for individuals and teams; Runway Dev, an AI media platform and API for developers to run models, compose pipelines and trigger workflows; and Runway Robotics, a toolkit for photorealistic simulation, policy inference and synthetic data generation powered by their General World Model (GWM-1). Runway also publishes research (e. g. , GWM-1, Gen-4. 5 video model) and serves both individual creators and enterprise customers.

📋 Description

• Own the data infrastructure and pipelines for business critical product and user data • Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs • Take an AI-first approach to scaling Runway’s data tooling and use • Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate as products and go to market motions rapidly develop • Work with product and engineering to ensure critical usage data is available and interpreted in useful ways • Collaborate with trust and safety teams on signals for detecting misuse or abuse • Collaborate with marketing and studios teams to help measure impact of all marketing initiatives • Build and maintain our data pipelines and third party tools that others use for dashboarding and analysis

🎯 Requirements

• 4+ years of experience working as a data analyst, engineer, scientist or similar, where your primary responsibility involved working heavily with product data • 4+ years of experience with SQL, ETL, python, and data modeling • Collaborative mindset and communication skills; Comfortable working directly with sales, product, finance, and engineering teammates. • Understanding of best practices for data modeling, manipulation, transformation, and maintaining privacy. • An added bonus if you have experience as a founding product data analyst or first hire in a data role.

🏖️ Benefits

• Great things come from great teams.