What does the team work on?
Roku’s Search & Recommendations (S&R) organization owns the company’s core content discovery platform. This is the platform that helps viewers find something to watch across Roku Search, Browse, The Roku Channel, Live TV, sports, and partner experiences. It sits at the intersection of consumer experience, machine learning, distributed systems, content metadata, and business impact.
The Search team’s mission is to deliver the best TV search experience: fast, comprehensive, and reliably relevant. That means understanding typed, on-screen keyboard, and voice queries; retrieving the right content across a massive catalog; ranking results intelligently; and continuously improving discovery quality through experimentation and measurement. Done well, this work directly improves key Roku outcomes such as streaming hours, user engagement, and monetization.
As a Senior Manager at Roku Search, you will lead a team of talented engineers and ML scientists to build and improve the search that powers Roku. You will work closely with product managers, designers, and content partners to understand the user needs and business goals and translate them into technical requirements and solutions. You will also collaborate with other engineering teams to ensure the search is scalable, reliable, and efficient.
This is a unique opportunity to work on a high-impact and high-visibility product that reaches millions of users every day. You will have the chance to apply your expertise in Machine Learning, Natural Language Processing, and Information Retrieval to solve challenging problems and deliver a delightful search experience to Roku users.
How will I use AI at Roku?
At Roku, we don’t just use AI; we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability.
We value curious, adaptable builders who can show how they’ve used AI, agents, or automation to move faster, improve quality, and scale their impact. Strong candidates know how to frame problems, guide AI-assisted work, check the output, and learn quickly. Above all, they bring curiosity, adaptability, and sound judgment.