Product Manager, Content Understanding Foundations

Netflix•Los Angeles, CA

5d•$440,000 - $725,000

About The Position

Netflix is seeking a Product Manager to lead Content Understanding Foundations. The role defines and drives the vision, strategy, and roadmap for how Netflix uses AI to understand content, including extracting meaning from audiovisual material and building the tools and workflows people use to review, correct, and trust AI-generated output. The work spans content-understanding algorithms and the taxonomy principles that support their development, as well as a unified, scalable platform where experts review AI output and stakeholder teams can understand its quality, coverage, and impact. The Product Manager will move workflows from human-first to AI- and automation-first, with models handling the first pass and people focusing on exceptions and quality while maintaining the accuracy and trust required by members, partners, and regulators. The role will establish measures of quality and impact to guide automation, improvement, and retirement decisions. The Product Manager will also identify new forms of content understanding that could enable member experiences such as search, discovery, and personalization, as well as additional business use cases. They will partner with engineering, applied science, data science, and design, and work with content experts, teams that consume content-understanding signals, and upstream content partners.

Requirements

7+ years of product management experience and a proven record of prioritizing and successfully launching impactful capabilities.
Demonstrated experience building AI/ML-powered products that extract meaning from audiovisual or other unstructured content, such as tagging, classification, annotation, content moderation, or ratings.
Experience building internal tools, workflows, or platforms for expert users, ideally including human-in-the-loop systems.
Experience defining quality and impact measurement for ML-generated output, including evaluation frameworks, quality bars, and actionable metrics.
Familiarity with taxonomies, ontologies, or structured metadata and how they shape algorithm development.
A strong track record of building collaborative, trust-based relationships with internal stakeholders, engineering teams, and applied science teams.
Expertise developing vision, strategy, and roadmaps for a cross-functional space while incorporating broader business context.
Experience producing clear, well-crafted documents across the product lifecycle, including strategy memos, PRDs, and stakeholder communications.
Excellent verbal and written communication skills, including the ability to present technical content to varied audiences and senior leadership.
Experience with A/A and A/B testing.

Nice To Haves

Experience in media, entertainment, or content operations.

Responsibilities

Define and drive the vision, strategy, and roadmap for Content Understanding Foundations.
Guide the development of AI models that extract information from audiovisual content, including tags, maturity ratings, advisories, and timecode-level annotations.
Develop taxonomy principles that enable content-understanding algorithm development.
Build unified, scalable platforms and workflows for experts to review AI output and stakeholders to assess its quality, coverage, and impact.
Shift human-first processes toward AI- and automation-first workflows while maintaining accuracy and trust.
Establish measures of content-understanding quality and impact, and use them to decide what to automate, improve, or retire.
Identify new types of content understanding and use cases that can enable member experiences and business capabilities.
Partner with engineering, applied science, data science, design, content experts, internal signal-consuming teams, and upstream content partners.
Build collaborative relationships, synthesize stakeholder needs, and align senior stakeholders around a shared vision.
Create strategy memos, PRDs, and stakeholder communications across the product lifecycle.