About The Position

The Senior Software Engineering Manager, Ads Auction & Marketplace Optimization role at Roku is responsible for building and leading teams focused on optimizing the Ads Auction and Marketplace. This involves optimizing yield, gross profit, performing real-time multi-objective optimization across various objectives, building control and simulation systems, designing and running experiments, and extending the experimentation framework. The role requires close collaboration with other Engineering, Inventory, and Product teams to define group vision, strategy, and deliver on the roadmap. The Advertising Performance group at Roku focuses on performance for advertisers, publishers, and Roku itself, utilizing Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve complex problems at scale.

Requirements

  • 3+ years of experience leading teams that apply auction theory, quantitative optimization, advanced statistical methods to large, sophisticated datasets
  • 5+ years experience of 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 Haves

  • Experience in the Advertising domain
  • 5+ years of experience applying auction theory, game theory, economics, quantitative optimization, advanced statistical methods to large, sophisticated datasets
  • MS or PhD in CS, Economics, Math or a related quantitative field

Responsibilities

  • 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 make data-driven decisions based on performance metrics and statistical rigor
  • Staying at the forefront of advancements in related areas

Benefits

  • Global access to mental health and financial wellness support and resources
  • Healthcare (medical, dental, and vision)
  • Life, accident, disability insurance
  • Commuter benefits
  • Retirement options (401(k)/pension)
  • Time off in accordance with local leave policies and other personal needs
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