Principal Product Manager, ML Platform

The Walt Disney Company is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
$184,300 - $270,700
Data
Principal Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI · Entertainment

Description For Principal Product Manager, ML Platform

As Principal Product Manager for ML Platform at Disney Entertainment & ESPN Technology, you will lead the strategy, development, execution, and evolution of the ML Platform, an ML toolkit and underlying infrastructure that enables data scientists and ML engineers to build and operate end-to-end ML workflows. This role involves working closely with cross-functional teams to deliver innovative solutions that meet the evolving needs of our customers.

You will be at the forefront of building the foundational AI/ML platform used across Disney's entire product suite, including Disney+, Hulu, Star+, ESPN, and more. The scale of operation is unique, with hundreds of millions of subscribers and multiple consumer touchpoints to deliver seamless experiences.

Key responsibilities include:

  • Leading the strategy, roadmap, and execution for the ML platform
  • Collaborating with engineering & Data Scientists in an agile environment
  • Defining product requirements, objectives, and success metrics
  • Gathering and incorporating product feedback
  • Conducting research and competitive analysis
  • Working closely with customers to understand their needs
  • Creating a delightful, self-serve product experience
  • Leading business readiness activities
  • Being an internal champion of AI/ML

The ideal candidate should have 10+ years of experience in Product Management or relevant fields, with a strong understanding of machine learning methodologies and infrastructure. Knowledge of ML infrastructure, experience with streaming services, and familiarity with A/B experimentation methods are preferred.

This role offers the opportunity to make a significant impact on Disney's media business, working with innovative technologies at a global scale to enhance storytelling and creativity while delivering scalability, flexibility, and efficiency.

Last updated 2 months ago

Responsibilities For Principal Product Manager, ML Platform

  • Lead the strategy, roadmap, and execution for our ML platform
  • Collaborate closely with engineering & Data Scientists while working in an agile software development environment
  • Define product requirements, objectives, and success metrics for the ML platform
  • Gather and incorporate product feedback into subsequent product releases
  • Conduct research and competitive analysis to identify new opportunities in the field of Machine Learning and Data Science
  • Work closely with customers to understand their needs and incorporate feedback into product design and features
  • Create a delightful, self-serve product experience to power the ML platform for use by all AI practitioners with ease and speed
  • Lead teams on all business readiness activities, including product planning, sequencing, testing, user education, rollout, iteration, and support
  • Be the internal champion of AI/ML to technical and non-technical partners

Requirements For Principal Product Manager, ML Platform

Python
  • 10+ years of experience in Product Management or other relevant experience
  • Experience working with AI/ML Products with understanding of machine learning / data science methodologies
  • Knowledge on ML infrastructure for data storage, data wrangling, feature storage, feature execution, model deployment, infrastructure management etc.
  • Experience in conducting market research and competitive analysis
  • Passion for technology and innovation, with a customer-centric approach to product development
  • Adept at building, measuring and reporting against fundamental product metrics
  • Exceptional written and verbal communication skills at all levels of organization and partners
  • Bachelor's degree in a relevant field required

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