Member of Technical Staff (Software Engineer, Integrations)

at Perplexity AI

📍 San Francisco, United States

USD 220,000-405,000 per year

MIDDLE

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

TypeScript @ 3 Python @ 3 Data Science @ 3 Leadership @ 3 AWS @ 3 Mentoring @ 3 PostgreSQL @ 3 Next.js @ 3 React @ 3 Technical Leadership @ 3 AI @ 3

Details

Perplexity's 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 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

Responsibilities

Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
Lead vertical-specific products and AI-powered experiences (examples: Personal CFO, Email Assistant), turning connected data into reliable, high-impact tools.
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 novel products.

Requirements

6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
Demonstrated technical leadership: owned large, ambiguous projects, set direction, and drove them to clear outcomes.
Strong execution: ship many products and experiments in parallel and drive each to a measurable result.
Strong product judgment; translate user behavior and product opportunities into simple, effective technical solutions.
An "extra zero" mindset: aim for outcomes that are 10x and own results end-to-end.
Self-motivated with strong ownership instincts; propose ideas, ship features ahead of schedule, and drive improvements without 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.

Benefits

U.S. benefits: Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.
International benefits: Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence. USD salary ranges apply only to U.S.-based positions; international salaries are set based on local market and final offers vary by experience and expertise.