Senior Product Designer, AI Enablement

Netflix•Los Angeles, CA

About The Position

The Netflix Advertising Experience Design (XD) team is looking for a Senior Product Designer for AI Enablement to join our Foundations team. This is a high-impact, horizontal role for a systems thinker and AI-native designer who’s ready to redefine the boundaries of the craft. The center of gravity for design is shifting from producing individual screens to owning the underlying systems that both engineers and AI build upon. In this role, you’ll architect the paved paths for agentic platform experiences across the Netflix Ads Suite (NAS). As a key design leader in the AI pillar of Foundations, you’ll look beyond individual features to define the patterns, workflows, and intelligent infrastructure that empower our vertical squads to integrate AI seamlessly. Your work will ensure our platform remains resilient, ethical, and built for scale.

Requirements

5 to 7 or more years of experience in product design with a proven track record of shipping complex systems architecture or foundational infrastructure.
Outstanding proficiency in the modern AI stack (including, but not limited to, LLMs and media generation models) with a focus on using AI to augment the construction and maintenance of design systems.
A growing understanding of agentic systems and agentic architectures (reusable workflows, standardized live data, safety guardrails, context isolation, long-term context, etc.)
Agility in adopting emerging design workflows and AI-native environments such as Cursor or Claude Code. You’re ready to redefine the traditional design-to-engineering handoff through functional, systems-oriented output.
Deep understanding of how design systems and platform architectures scale, specifically regarding components that handle dynamic or non-deterministic content.
Ability to exercise high-level judgment on when to automate via AI versus when to protect human-led coherence in the end-to-end user journey.
Experience navigating the ambiguity of emerging tech to move from high-level North Star visions to lean, implementable solutions with platform-wide impact.

Nice To Haves

Experience in the AdTech and Enterprise B2B ecosystems.
Proficiency in structured content modeling and the ability to leverage AI to write functional code in React, HTML, or CSS for platform tooling.
Hands-on expertise in prompt engineering, AI-augmented design workflows, and the implementation of emerging patterns like intent-based navigation.
Knowledge of AI ethics and accessibility standards as they relate to automated systems and platform workflows.

Responsibilities

Partner with Foundations Experience Design (XD) and Content Design (CD) leads to define the systems architecture for an intelligent UI library. You’ll establish scalable patterns for chat interfaces, agentic feedback loops, and human-in-the-loop interventions, ensuring the entire library is supported by machine-consumable documentation, schemas, and metadata that enable AI services to reliably learn from and properly ingest our design system.
Partner with Engineering to operationalize agentic workflows that automate high-friction tasks for key customers and internal users across the platform.
Utilize AI-assisted workflows to normalize legacy UI. You’ll refactor scattered documentation into a single, structured model that serves as the source of truth for both humans and AI.
Use AI-assisted coding and prototyping tools to build high-fidelity, functional proof-of-concepts that demonstrate complex interactions, such as intent-based orchestration and multimodal inputs.
Serve as the steward of quality and human gatekeeper for AI-generated outputs. You’ll ensure that agentic behaviors align with our team’s quality values and standards for trust and usability.
Mentor the broader design organization on AI fluency. You’ll help the team move toward workflows that orchestrate how things are built rather than focusing on static artifacts.
Act as a strategic bridge between Product Design and Machine Learning Engineering partners to ensure the platform infrastructure is technically feasible, vision-aligned, and performance-optimized.