This role pays more than
99%
of similar roles. Most pay
$173,087–$246,150
— the shaded band above.
At the midpoint, this role pays about
$435k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
28 open roles
on FindRole.
Listed pay typically runs
$440,000–$750,000
across 27 roles with salary data.
Senior Product Designer, AI Enablement joins the Advertising Experience Design Foundations team to architect paved paths for agentic platform experiences across the Netflix Ads Suite. This role focuses on building intelligent infrastructure, including a machine-consumable UI library with chat interfaces and feedback loops, rather than individual screens. The designer will partner with engineering to operationalize agentic workflows, refactor documentation into structured models, and build high-fidelity prototypes using AI-assisted coding tools like Cursor or Claude Code. Key responsibilities include ensuring ethical AI outputs, mentoring the organization on AI fluency, and bridging the gap between product design and machine learning engineering. Required skills include proficiency in LLMs, media generation models, prompt engineering, and structured content modeling in React, HTML, or CSS to solve complex problems within the AdTech and enterprise B2B ecosystems.
Architect systems architecture for an intelligent UI library including chat interfaces and agentic feedback loops.
Create machine-consumable documentation, schemas, and metadata to enable AI services to learn from the design system.
Partner with engineering to operationalize agentic workflows that automate high-friction tasks for internal and external users.
Refactor legacy UI and scattered documentation into a single, structured model as a source of truth.
Build high-fidelity functional proof-of-concepts using AI-assisted coding and prototyping tools.
Act as the human gatekeeper to ensure AI-generated outputs align with quality, trust, and usability standards.
Mentor the design organization on AI fluency and transition toward automated production workflows.
Serve as a strategic bridge between Product Design and Machine Learning Engineering to ensure technical feasibility.
What we're looking for
Must have 5 to 7 or more years of experience in product design with a track record of shipping complex systems architecture or foundational infrastructure.
Must possess outstanding proficiency in the modern AI stack, including LLMs and media generation models.
Must demonstrate an understanding of agentic systems and architectures, including reusable workflows and safety guardrails.
Must be agile in adopting emerging design workflows and AI-native environments like Cursor or Claude Code.
Must have a deep understanding of how design systems and platform architectures scale for dynamic or non-deterministic content.
Ability to navigate the ambiguity of emerging technology to move from high-level visions to implementable solutions.
Preferred experience in AdTech and Enterprise B2B ecosystems.
Proficiency in structured content modeling and using AI to write functional code in React, HTML, or CSS for platform tooling.
Figma
Design Systems
HTML
CSS
JavaScript
AI Integration
LLMs
Generative AI
Design Tokens
Component Architecture
WCAG
Prompt Design
Cursor
Claude
Interaction Design
Visual Design
Automation