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Staff Product Mgr, Machine Learning

Warner Bros. Discovery
NY New York 30 Hudson Yards, United Statesfull_timeVerifiedPosted 11 Sept 2024
💰 $211,900/yr($114,100/yr$211,900/yr)

About the role

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.

To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!

Your New Role…


We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS. We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.


The Staff Product Manager, Machine Learning is responsible for driving CNN's search, personalization, and recommendations initiatives in partnership with product experience teams. High levels of user engagement and satisfaction are the hallmarks of a delightful product experience, and you are passionate about making this happen for users who come to CNN. You think in the domains of machine learning and AI and are equally comfortable with design thinking to tie the best user experience and ML models together. You are adept at understanding the technical aspects of recommendation systems including understanding API contracts and writing SQL queries to dive into the data. You enjoy collaborating with other product managers, data scientists, researchers, engineering, designers, and editorial teams to deliver the best personalized experience that balance user needs and business goals.


Your Role Accountabilities…
• Drive CNN digital's personalization, search, and recommendations initiatives across multiple platforms (apps, web, and TV) with multiple content types (articles, videos, products, etc.)


• Partner with cross-functional teams in engagement, growth, commerce, and editorial of product managers, designers, researchers, data scientists, engineers, and editors to integrate machine learning models and personalization features across various product portfolios


• Devise, monitor, and analyze key performance metrics and use data-driven insights to expand personalization reach and increase quality of recommendations to consistently drive user signups and engagement metrics month after month


• Conduct quantitative and qualitative research in collaboration with data scientists and researchers to inform personalization and recommendations strategies, validate hypotheses, identify user needs, and drive continuous improvement.


• Lead the machine learning platform and data science product strategy, define key metrics, roadmap and quarterly OKRs in partnership with ML engineering and science teams


• Communicate product updates, progress, and results to stakeholders at all levels, ensuring alignment with organizational goals.


• Ensure that all personalization initiatives comply with privacy regulations and adhere to industry best practices.

Qualifications & Experience…

• At least 7 years of product management experience, ideally with consumer facing product experience with Machine Learning and AI components


• Proven track record of managing and delivering complex product initiatives in working with a full stack team


• Strong understanding of personalization techniques, recommendation engines, and AI/machine learning applications, with a passion for algorithms and their potential in driving user engagement


• Experience in designing, implementing, and running online experimentations


• Comfortable writing SQL queries and have experience working with data scientists and data analysts to define and measure KPIs


• Strong presentation and communication skills in delivering strategies to cross-functional leadership teams an

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Company

Warner Bros. Discovery

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