Netflix

Staff Systems Designer, Language

USA - Remote · Staff+ · Full-time

Sponsorship not specified$460k-$710kDetected 2 days ago

LLMsAgentic AIAI OrchestrationDesign SystemsAccessibilityCommunication

About the role

We're looking for a Staff Systems Designer specializing in language to serve as Netflix's centralized authority for scaling language standards.
This role bridges the gap between editorial craft and technical frameworks, translating subjective brand guidelines into the objective, machine-readable rules and patterns that guide both human writers and dynamic generative agents.
Translate brand and editorial guidelines into objective, systematic rules that guide both human authors and AI agents.

This role sits as a horizontal function within the Design Systems organization, a team dedicated to enabling product quality, consistency, and design velocity across all of Netflix.
As we shift toward an agent-first architecture, our design system is evolving.
Rather than creating Netflix's voice and tone guidelines, this role will own how those standards are structurally encoded into the design system.
Serve as the centralized authority for language standards across Consumer, driving system-level alignment across a decentralized content design community.
Own taxonomy and terminology schemas to ensure semantic and naming consistency across components, localization pipelines, and dynamic content generators.
Build the plug-and-play extension model that allows decentralized business domains to safely apply unique voice requirements within shared guardrails.
Partner with localization, legal, and accessibility to translate complex compliance and functional requirements into clear, system-level design constraints.
Deep understanding of localization and accessibility as structural constraints, with experience building core frameworks that naturally scale across languages, regions, and assistive technology contexts.

10+ years of experience as a Content Systems leader, with a demonstrated track record of owning and scaling a content standards function, not just contributing to one.
Direct experience with LLM orchestration, prompt engineering, or AI-assisted writing workflows, with a pragmatic point of view on how to programmatically constrain generative models so outputs remain safe and on-brand.

At Netflix, all roles are expected to exemplify the values outlined in our culture.

This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.