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Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
Job Responsibility
Building teams and mentoring engineers across geographic locations and time zones
Defining the strategy and building the long-term roadmap by partnering with Product, Science, and Engineering teams
Leading the design, implementation, and evolution of real-time ads auction and marketplace systems
Building and enhancing core auction capabilities, including ad pod construction, bid valuation, ranking, pricing, pacing, and budget enforcement
Designing auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, platform revenue, and gross profit
Driving yield and gross profit optimization through auction design, floor strategies, and pricing experiments
Leading experimentation using A/B testing, auction simulations, offline replay frameworks, and making data-driven decisions based on performance metrics and statistical rigor
Stay at the forefront of advancements in related areas
Requirements
3+ years of experience leading teams that apply auction theory, quantitative optimization, and advanced statistical methods to large, sophisticated datasets
5+ years of experience in leading engineering teams from design to implementation, ensuring scalability and reliability
Deep mathematical understanding of auction theory, game theory, economics, quantitative optimization, and statistics
Hands-on experience with Python and Java in a production environment
BS or higher in CS, Economics, Mathematics, or a related quantitative field
Nice to have
Experience in the Advertising domain
5+ years of experience applying auction theory, game theory, economics, quantitative optimization, and advanced statistical methods to large, sophisticated datasets
MS or PhD in CS, Economics, Math, or a related quantitative field
What we offer
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)