Job Description
NBCUniversal is one of the world's leading media and entertainment companies.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Job Description
Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you'll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn't stop there. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive.
As the Associate Product Manager, Global Personalization, you'll collaborate with a cross-functional team of data scientists, engineers and analysts to design and launch personalized content rails that help users discover shows and movies they'll love. You'll support the development of machine learning-powered experiences that make Peacock feel intuitive, relevant, and uniquely tailored to each viewer.
In This Role, You Will
• Support the creation, launch, and iteration of personalized content rails that help users find the best content for them
• Partner with Data Science, Engineering, Analytics, and User Research to translate user needs and data signals into ML-powered features across the Peacock product
• Advocate for the needs and behaviors of our global user base
• Communicate the value of features to support prioritization
• Help define and execute A/B tests to validate product hypotheses and feature performance
• Work with QA to ensure only high-quality features reach users
• Identify the right KPIs to measure success of your personalization features
• Analyze test results and user data to inform future improvements
• Communicate complex machine learning concepts and product decisions in clear, actionable language for non-technical stakeholders
• Contribute to a collaborative, thoughtful product culture by sharing learnings and supporting your teammates
Qualifications
What You Have
• A passion for understanding users-their needs, behaviors, and content discovery journeys
• Interest in working on highly technical, data-intensive products, even without prior experience
• Comfort with ambiguity, and an ability to bring structure and clarity to complex problems
• Skill in identifying the right KPIs to measure feature performance and impact
• A collaborative mindset and enthusiasm for working closely with data scientists, engineers, and other stakeholders
• Strong verbal, written, and interpersonal communication skills
• Proven ability to manage multiple projects and follow through to completion
• Curiosity about streaming trends and a desire to improve how people discover content
• Ability to break down problems and use data to size opportunities and inform decisions
• Flexibility to adapt quickly in a fast-paced environment with shifting priorities
• A proactive, growth-oriented mindset with a willingness to take initiative and lead small or large efforts
• Empathy for diverse user needs and a desire to build experiences that serve a global audience
Qualifications:
• Bachelor's degree in computer science, Engineering, Data Science, Business, or a related field
• 1+ years of experience in a product, analytics, or technology-related role (internships count)
• Demonstrated experience working on data-intensive or technical projects
• Strong communication and organizational skills
• Familiarity with Agile development methodologies
• Experience with tools like Jira, Excel, SQL, or Adobe Analytics
• Passion for media, streaming, or machine learning technologies
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
Salary range: $105,000-$130,000; not bonus eligible
Jobcode: Reference SBJ-xkwe4z-216-73-216-122-42 in your application.