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In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework.
Job Responsibility:
Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform
Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping
Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements
Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue
Develop and optimize SSP-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns
Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions
Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments
Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor
Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements
Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations
Requirements:
5+ years of experience building large-scale distributed systems
5+ years working with cloud-based platforms and infrastructure
Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
Solid understanding of databases SQL and NoSQL
Hands-on Experience working with AWS, GCP or similar cloud services
Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
Demonstrated ability to drive timely consensus in design with other senior team members
Bachelors or Master's degree in Computer Science, Engineering, or equivalent
What we offer:
Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)