Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Role 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. Key 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. Key Qualifications • 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. Preferred Skills • 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. Why Netflix? Our Advertising Experience Design (XD) team is at the forefront of shaping the future of entertainment and advertising. This is a unique opportunity for an AI-native systems thinker to define the architectural foundations that’ll power Netflix Ads over the next decade. If you’re passionate about design scaling and building the AI-ready infrastructure of the future, we’d love to talk to you. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350,000.00 - $520,000.00. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Requirements

Must-haves

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.
Key Qualifications
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.
Why Netflix?
Netflix is a unique culture and environment. Learn more here .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aidesign systemmachine learningdesign systemsreactaccessibility

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision

401(K)

Paid Time Off