Member of Technical Staff (Software Engineer, Integrations)
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Get Started FreeAbout interviewing at Perplexity
One of the few AI startups with a fully published interview guide (perplexity.ai/hub/careers/interview-guide): online application (response within two weeks) → recruiter phone screen → a technical screen that for engineers is 'usually a standard technical programming interview' → a quickly-scheduled onsite of 4–5 interviews including a hiring-manager deep dive on past work and experience anecdotes → a final interview with a Perplexity founder or leader → decision within a week of the onsite. Coding leans Python and mixes LeetCode medium–hard with practical search-flavored tasks (ranking/filtering, concurrency, data handling); system design is AI-native (RAG pipelines, retrieval at scale, LLM serving cost/latency). Applicants are judged 'solely on merit and potential impact' and must show 'frontier knowledge and excellence in at least one area'; roles are broad by default with team matching happening during the onsite, every role — managers included — is hands-on, and building AI products isn't expected but fluency in using AI tools is required. In-person 4 days/week near an office; remote is case-by-case.
Read the full Perplexity interview process →Description
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.
Salary Range: $220K - $405K