Perplexity AI
Design Systems Lead
San Francisco
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- You'll set the bar for visual quality and the technical standards that let feature teams move fast without fragmenting the experience.
Responsibilities
- Bootstrap and own an intuitive semantic token system that works across multiple platforms and frameworks
- Own the design system repo on GitHub: the source of truth for components, tokens, and standards, including versioning, release management, and a clear changelog
- Set and uphold a high bar for visual design quality across every surface the system touches
- Keep design and engineering in sync, bridging Figma and code so the system stays coherent end-to-end
- Own clear, first-class documentation so teams can adopt components and tokens on their own, and drive adoption across the org through onboarding, office hours, and hands-on support
- Maintain a system roadmap, balancing net-new work, migrations, and deprecations against feature-team needs
- Bring new AI tooling into the design systems workflow and help shape how we build systems in an AI-native way
- Extensive experience owning design systems at large organizations
- A true 50/50 design-engineer, equally credible in visual craft and in code
- We're seeking a Design Systems Lead with extensive experience owning design systems at large organizations.
Requirements
- A track record of driving adoption through excellent documentation and cross-functional partnership
Nice to have
- Familiarity with component tooling and documentation platforms (e.g., Storybook)
This listing is sourced directly from Perplexity AI's careers page and normalized into a canonical job model.