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Salary
$220k – $405k per year
Location
In office (San Francisco)
Seniority
Staff · 6+ years exp
Visa
H-1B filings in 12 months: 18 · for this role: 12
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Jul 9, 2026. Perplexity AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Perplexity AI is an American company that builds an answer engine combining live web search with large language models to return sourced, conversational responses instead of a list of links. Its products span a consumer assistant on web and mobile, the Comet browser, enterprise search over internal documents and the Sonar developer API that exposes the same grounded retrieval stack. Founded in 2022 in San Francisco by former researchers and engineers from OpenAI, Meta and Databricks, the company is backed by NVIDIA, IVP, New Enterprise Associates and SoftBank.

Description

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.

As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.

Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS

Why Perplexity is different

  • Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.

  • Ownership. You identify the problem, design the solution and ship it.

  • Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.

  • Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.

  • Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

What you'll do

  • Build agentic apps, features, and workflows that make Perplexity a daily driver for users.

  • Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.

  • Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.

  • Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.

  • Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.

Qualifications

  • 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.

  • Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.

  • Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.

  • Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.

  • An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.

  • Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.

  • Experience mentoring engineers and raising the technical bar of a team.

  • Genuine interest in and adoption of AI products and willingness to learn quickly.

Nice to have

  • Domain expertise in verticals such as finance, healthcare, legal, or operations.

  • Experience building agentic product surfaces.

  • Time at a fast-growing startup or high-ownership engineering team.

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