Job Description
Overview
About Warner Brothers Discovery (WBD)
At WBD we seek to ignite people's curiosity to engage, entertain and enlighten the world around them through amazing viewing experiences. The Streaming and Interactive Entertainment group builds the global streaming platform that includes a suite of applications and platform capabilities to support all our brands (in addition to WBD's Gaming business). This platform covers Search, Content Recommendations, Personalization, Catalog, Video, Subscriptions and more. We build for connected TVs, web, mobile phones, tablets, and consoles for a large footprint of products and brands (HBO Max, Discovery+, Food Network, CNN, Golf TV, MotorTrend, Eurosport, and many more) This is a growing, global product and engineering group crucial to Discovery's future.
About the role
We are hiring a Senior Product Manager to join the team driving our AI/ML driven Personalization effort. You will launch new ML-optimized features and experiences like new rails/carousels/trays on HBO and Discovery+, page structure, navigation elements, marketing messages, and much more. Your efforts will help us scale to >100m customers and be a worldwide top 3 streaming company. You will identify and quantify customer problems, approaches to address them, and A/B test different features to solve them. You will solve complex problems like how to balance human generated and ML-driven content, how to bring together movies, shows, sports and news into a seamless experience. Through this, you will help build a flexible ML / Personalization platform.
You will be part of a team of Product Managers focused on Personalization, working closely with Engineers / Scientists. The team has a diverse range of skillsets / experience in ML / Recommendations / related fields across streaming media, e-commerce and other hi-tech problem spaces and hails from top-flight tech firms. You will partner with Content Editors, Marketing professionals and discuss your efforts regularly with company executives.
Responsibilities
The ideal candidate
The ideal candidate will have worked on personalization / recommendations / similar ML-based capabilities / features reaching millions of customers. You have an engineering / applied science background AND/OR have worked hand in hand with scientists on such problems. You are a self-starter, and a good written and verbal communicator with peers and stakeholders. You make decisions rooted in data, are fluent in a/b experimentation and have instincts for finding insights.
You are a proven contributor to your team's strategy, adept at connecting it to business goals and partner strategies. You are a fluent communicator of strategy and direction to partners and stakeholders. You have experience with program operating rhythms and mechanisms in fast operating tech organizations. You are a collaborator that makes your team and partners more productive by sharing your area knowledge.
Expectations
As a key contributor for the Personalization at WBD, you will:
• Partner with stakeholders to understand business and customer needs, and translate that into feature requirements, KPIs.
• Help establish organization goals / OKR, and drive delivery towards them with project timelines, managing commitments and risks.
• Operate well in the face of ambiguity and imperfect knowledge, drill into business data and research results to identify clear direction and focus.
• Test and launch innovative capabilities and features that drive satisfaction and retention with Discovery and HBO customers.
• Bring analytic and data-driven rigor to decision making when launching features, analyzing customer behavior and more.
Qualifications
Skills / Experience
• At least 5 years of experience across Engineering / Product Management for a technology / software product, with day to day understanding of the technologies involved.
• At least 2 years of experience in Product Management.
• 2+ years as a Software Engineer or Applied / Data Scientist highly preferred.
• Noteworthy verbal and written communication skills targeting partners and stakeholders, including with docs like PRFAQs and requirements.
• Experience building products with microservices architectures, best of breed ML / cloud platforms.
• A BS degree in Computer Science or a related field is required. MS/PhD in CS or related discipline is preferred.
Jobcode: Reference SBJ-gqqyvz-44-211-117-101-42 in your application.