Senior Product Manager, Content & Rights Management Tooling

Job Description

Roku is changing how the world watches TV.

Roku is the #1 TV streaming platform in the US, 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.

‘The Roku Channel’ has quickly become a leading streaming app for free, live, and premium content on the Roku platform. Whether you are in your living room, on your mobile, or at your desktop, ‘The Roku Channel’ has an always-changing selection of Hollywood hits, classics, live channels, hit TV shows, family programs, and more to keep you entertained. Roku made streaming possible, and The Roku Channel is changing how we watch it.

About the Role

At ‘The Roku Channel’, we believe that contextually relevant and personalized content experiences help users find the most enjoyable content to stream. Currently, most of our UI experiences are powered by ML Personalized Recommendations. We have demonstrated that personalization drives a significant lift in user engagement and retention via AB testing. As we accelerate our efforts to take these personalized experiences to the next level, we are looking for a Product leader to help drive it. The role requires an AI/ ML-driven Consumer experiences champion, who can define personalization features, think at Roku scale, and execute in a highly iterative Data science/ML-driven feature development framework. The ideal candidate will be data fluent, familiar with ranking and relevance, worked on large-scale recommendations/ search/ marketplace systems, ran AB testing, and understands nuances of AI-driven UX design principles.

The product lead will partner with Content merchandising, Core experience PMs and Consumer Insights teams to define the ML Personalization roadmap for Consumer app UI touchpoints. And partner closely with ML research and Engg teams to define the roadmap for evolving our Recommendations platform and its capabilities to the next level. Each roadmap initiative requires pre-alignment on content metadata, tooling needs, AB testing plan, GTM plan, and acceptance criteria (quality and KPIs). Once the roadmap is finalized, the candidate will drive grooming, planning, prioritization, development, and release of crucial Recommendations features and functionality. The role requires managing the entire life-cycle of Personalization features, including the evolution to the next stage, and continuously optimizing with iterative AB testing. The position also requires partnering with Business, Editorial, Legal, and Engineering to explore first-party and third-party data sources to enrich content Signals that power recommendations algorithms. Lastly, Execution is key, and this role is expected to drive the features from inception to launch, including getting a launch consensus based on the AB test results.

What you’ll be doing

• Work closely with engineering, data science, analytics, and merchandising to define new & refine existing experiences.
• Author PRDs/ feature guides, get cross-functional feedback to enable the Engg teams to develop features that meet business and user needs.
• Understand Data and Privacy related guidelines with the legal and compliance teams.
• Drive feature prioritization, process improvements, and product development with one eye on key business KPIs and the other on the quality of the product.
• Draft, get consensus on and drive Product roadmaps based on in-depth research and analytics insights.
• Data analysis in partnership with the experimentation and analytics team to investigate issues or research product decisions.
• Execute feature launches end-to-end and closely track dependencies. Keep leadership updated on the roadmap progress.
• Drive customer research, behavioral data research, and A/B tests to deepen the user and content understanding.

We’re Excited If You Have

• 5+ years of experience in Product Management, shipping products with engineers, designers, and data scientists resulting in significant business impact.
• Experience building and releasing products in machine learning, personalization, recommendation, or similar.
• A strong business sense and ability to articulate nuanced product requirements to ML Recommendations engineering.
• Ran complex AB experimentation to evaluate features and measured incremental KPI lift.
• Articulated a vision and roadmap to internal and external stakeholders and worked towards a buy-in.
• A flare of explaining complex technical concepts to non-technical stakeholders and higher management for trade-off decisions.
• Bias towards action through MVP testing/ early validations while keeping product quality standards high.
• Flexibility regarding changing priorities & business needs; proven multi-tasking skills, ability to meet critical deadlines.
• A minimum of a bachelor’s degree (preferably in computer science or statistics) and an MBA a plus.

The Roku culture

Roku is an excellent place for people who want to work in a fast-paced environment where everyone is focused on the company’s success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We’re independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku, you’ll be part of a company that’s changing how the world watches TV.

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn’t real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.

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