Sr Manager, SW Engineering
RokuBengaluru, IndiaPosted 20 March 2026
Tech Stack
Job Description
Teamwork makes the stream work.
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.
About the Team
Roku’s Search Recommendations (SR) 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.
About this role
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.
What
you'll
be doing
Manage, mentor, and grow a team of engineers and data scientists who work on search platform and ML optimizations.
Define the vision, strategy, and roadmap for search relevance, platform optimizations and innovation
Oversee the design, implementation, and evaluation of search engine features and algorithms, such as query understanding, ranking, relevance, personalization, and voice search
Conduct data analysis and user research to identify search engine opportunities and challenges
Collaborate with multiple Cloud (ML and engineering) teams, product and business teams to ensure high degree of alignment, ruthless prioritization in a fast-paced, hyper-growth environment
Provide technical direction, guidance, mentoring and hands-on management.
Plan for operational efficiency to scale products, programs and practices.
Recruit and manage a world-class Search platform and ML engineering talent.
Assimilate Roku culture and lead by example to nurture and develop it with the broader team
Identify, recommend and develop best practices to improve agility in development pace across geo-distributed teams
We're
excited if you have
8+ years of experience in software engineering, with 3+ years of experience in managing engineering teams
Strong background and hands-on experience in Machine Learning, Natural Language Processing, and Information Retrieval
Proven track record of delivering high-quality and scalable search engine solutions
Excellent communication and ... (truncated, view full listing at source)
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