Listed compensation: $220K – $405K • Offers Equity
Apply at Perplexity Find your warm intro on LinkedIn About the role
Perplexity is looking for a frontend engineer to build the design system behind every Perplexity product. It is the component library and design language shared across web, iOS, Android, macOS, and Windows – the primitives, tokens, and interaction patterns that every product team builds on top of.
Its users are internal, spanning product teams and a broad range of contributors across the company. The components you build become the foundation all of them rely on. You will develop component APIs that hold up across dozens of consuming surfaces and are easy for other teams to adopt correctly, contribute to the token pipeline that keeps five platforms visually consistent, and maintain a high bar for interaction quality and accessibility.
Tech Stack: React · TypeScript · CSS · Design Tokens
What you'll do Design and build core primitives – overlays, inputs, navigation, feedback – with APIs that stay coherent as consumers multiply
Work across the design-token pipeline – authoring, generation, and per-platform publishing across web, iOS, Android, macOS, and Windows
Partner directly with design on the design language itself, translating Figma systems into typed, testable, documented components
Migrate product surfaces off bespoke implementations onto shared primitives without breaking them
Build accessible components by default – keyboard, focus, contrast, screen readers – backed by automated coverage
Support consuming teams through docs, visual regression coverage, and on-call rotation
What we're looking for 4+ years building production frontend; experience with a design system, component library, or shared UI platform is a plus
Interest in building reusable components
Strong React and TypeScript, and CSS
Working accessibility knowledge (WCAG, ARIA patterns, assistive tech)
Comfort collaborating closely with designers on the visual and interaction language
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99 Momentum index / 100
how it's scored
Capital freshness 35/35
Hiring velocity 30/30
Comp transparency 20/20
Workplace rating 14/15
Recomputed daily from public data: capital freshness (0-35) + hiring velocity (0-30) + pay transparency (0-20) + employer rating (0-15; unrated scores the neutral 7), minus up to 10 for documented headwinds (lawsuits, layoffs, leadership churn). Transparent formula, not investment or career advice.
1.7B total raised
Late stage
201-1000 team size
San Francisco HQ
Company signals
Fresh capital (raised in the last 12 months) Revenue traction
$23B valuation Jan 2026; surpassed $450M ARR Mar 2026; backers incl. Nvidia, Bezos, SoftBank
From our researched company data; see the Perplexity page for the full read What this job is probably like day to day
Reading, experiments, writing: training runs, ablations, internal demos. Progress is bursty; long feedback loops punctuated by big unlocks. Late stage on top of that: established process, specialized roles, real resources; impact comes through leverage, not heroics.
Indicative read from role type + company stage, not insider info About Perplexity
Late · 201-1000 · San Francisco
Founders: Aravind Srinivas (ex-OpenAI research scientist; CEO) · Denis Yarats (ex-Meta AI research scientist; CTO) · Johnny Ho (ex-Quora engineer) · Andy Konwinski (Databricks co-founder)
Backed by: IVP, NEA, SoftBank, Nvidia, Jeff Bezos, Databricks Ventures
Full profile on the Perplexity page Culture read
Employees rate it 4.6/5 on Glassdoor across 43 reviews. Mid-size: a real org chart now, still fast. Hiring hard (133 open roles): expect onboarding chaos and fast promotion surface.
Indicative read from public signals, not insider info How to actually get hired here
Referrals massively outperform cold applications: check who you know at Perplexity with the warm-intro button before applying.
Walk in current: reference what is actually happening at Perplexity (e.g. "Perplexity has an open-source alternative now, and I'm hooked") in your note or interview; most applicants will not have.
Know the DNA: Perplexity was founded by Aravind Srinivas (ex-OpenAI research scientist; CEO); expect that background to shape what "good" looks like here.
They raised recently (Series E, undisclosed, 2026): budgets are fresh and reqs are real; moving fast is an advantage.
Perplexity is hiring at volume (133 open roles): loops move faster and internal mobility after joining is real.
Built from our researched data on Perplexity, not generic advice