Runway에서 첫 번째 Product Analytics Engineer를 채용합니다. SQL, ETL, Python 및 데이터 모델링에 능숙한 4년 이상의 경력자를 찾습니다. 데이터 인프라 구축과 AI 기반의 데이터 툴링을 통해 전사적 의사결정을 지원하며, 유관 부서와 긴밀히 협업하여 데이터 기반의 성장을 주도할 핵심 인재를 기다립니다.
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
This role is for our first-ever product analytics engineering hire, and a fundamental and critical part of the team for a market-defining company in its early stages.
We’re looking for a passionate product analytics engineer to ensure every team at Runway uses data to be as effective as possible in their role. This role is for someone who has a combination of strong technical and data background and experience in understanding the needs of cross-functional partners across every team. You have the ability to take raw data and build tools and platforms on top of it for people to self-serve what they need.
You’ll deeply understand what data we have, how we can better use it, and how to leverage AI tooling both for yourself and our teams to provide speed-of-thought data insights across the company. You’ll be excited to combine prior expertise with the rapidly changing areas of ML, tooling integrations, and our product data in order to do so.
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. You’ll provide the two necessary things that today’s AI systems lack – trust and total context – so data can help drive key decisions in the right direction
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 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
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. You can translate data needs into solutions, gather context needed to unblock yourself, and build tooling that any teammate is comfortable using
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
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.
Great things come from great teams. We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
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