Runway is an applied research company pioneering new tools for human imagination. Runway has been at the forefront of multi-modal AI systems ensuring that the future of media creation is accessible, controllable and empowering for creatives. Runway’s mission is to ensure that anyone anywhere can tell their stories. We believe that deep learning techniques applied to audiovisual content will forever change art, creativity and design tools.
Runway is leading a shift to generative media that is unlocking an unprecedented level of creative potential. The invention of the camera 200 years ago forever changed our world – AI is a new kind of camera that will reshape storytelling forever.
About the role
*Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, and London
We're looking for a Data Engineer to help lead Data Engineering and Analytics at Runway. We're seeking someone curious and collaborative, who thrives in fast-paced, high-ownership environments. This role will work closely with our engineering, research, and business teams to build out robust analytics infrastructure that powers model training and business insights across the organization.
What you’ll do
- Own the data pipeline, including the ingestion, storage, transformation, and serving of data
- Build and optimize ETL processes to ensure data reliability, accuracy, and accessibility
- Design, implement, and maintain a modern data warehouse architecture using industry best practices
- Develop data models, tables, and views that empower teams to self-serve their analytics needs
- Collaborate with ML Engineers, infrastructure engineers, and product managers to identify data requirements, build efficient data delivery systems, and create a unified data foundation that supports both technical innovation and business growth
What you’ll need
- 5+ years of industry experience in data engineering, analytics engineering, or similar roles
- Strong proficiency in SQL and experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift)
- Experience designing and implementing ETL/ELT pipelines using tools like dbt, Airbyte, or similar.
- Experience with Python or another programming language for data manipulation and automation
- Knowledge of data privacy and data security best practices
- Ability to translate business requirements into technical specifications and data models
- Humility and open mindedness; at Runway we love to learn from one another
Preferred Qualifications
- Extensive experience with PostgreSQL, including database and performance optimization
- Hands-on experience supporting ML workflows, including feature engineering and building data pipelines for model training
- Knowledge of cloud platforms (AWS, GCP, or Azure) and their data service offerings
- Experience with infrastructure as code tooling (Terraform, CloudFormation) and cloud infrastructure management
- Experience in a high-growth startup environment or similar fast-paced setting
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Salary range: $220,000 - $270,000
