Product Designer - Content Discovery, Global Streaming

NBCUniversal
Full-time•$120k-165kundefined (USD)•New York, New York, United States
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📍 Job Overview

Job Title: Product Designer - Content Discovery, Global Streaming

Company: NBCUniversal

Location: New York, New York, United States

Job Type: Full-time

Category: Product Design, UI/UX Design

Date Posted: June 16, 2025

Experience Level: Mid-Level (3+ years)

Remote Status: On-site

🎨 Role Summary

  • Contribute to the evolution of the Content Discovery experience for global streaming products, focusing on intuitive and engaging design solutions.
  • Apply strong UX principles, design thinking methodologies, and creative execution skills to solve meaningful user problems within the streaming ecosystem.
  • Collaborate closely with cross-functional teams, including product managers, researchers, and engineers, to deliver user-centered design solutions.
  • Focus on crafting personalized and accessible experiences that leverage machine learning for enhanced content discovery and viewer engagement.
📝 Enhancement Note: This role emphasizes a strong foundation in core UX principles and design thinking, indicating a focus on the strategic aspects of product design beyond just visual UI. The mention of machine learning and personalization highlights the technical depth required for designing future-forward streaming experiences.

🖼️ Primary Responsibilities

  • Collaborate with product managers, researchers, and engineers to design user-centered solutions specifically for search and content discovery features across various platforms (web, mobile, TV).
  • Contribute to the design lifecycle of small to medium-sized projects, from initial concept and ideation through to successful launch, working independently with guidance from senior design team members.
  • Utilize a data-informed design approach, incorporating user feedback, usability testing insights, and performance metrics to validate design decisions and iteratively refine experiences.
  • Design innovative experiences that effectively leverage machine learning algorithms and personalization techniques to simplify the decision-making process
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