Member of Technical Staff (Software Engineer, Enterprise Adoption)

at Perplexity AI

📍 New York City, United States
📍 San Francisco, United States
📍 Seattle, United States

USD 220,000-405,000 per year

MIDDLE

✅ On-site

Tech Stack
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.

AI @ 6 Data Science @ 3 Go @ 5 Product Management @ 3 Python @ 5 TypeScript @ 5

Details

Perplexity is seeking creative, AI-native engineers to join its Enterprise Adoption team. The team is focused on improving how Perplexity and its enterprise customers use Perplexity Computer to support new ways of working in an agentic future.

Perplexity uses AI tools across frontend and backend engineering, applied AI research, business operations, recruiting, go-to-market, finance, legal, support, and operations. In this role, you will engineer core systems that make Computer an indispensable multiplier for internal teams, with learnings applied to enterprise customers.

Responsibilities

Identify, prioritize, and execute on high-potential opportunities to make Computer transformative for every team at Perplexity.
Build core systems that bring these opportunities within reach.
Develop empathy for the work of technical and business teams across recruiting, sales, finance, support, legal, and operations, and collaborate with them to apply AI in new ways.
Make knowledge stores, systems, and human-orchestrated processes legible to Computer.
Engineer connectors, skills, and evaluation infrastructure that enable team use cases at scale.
Connect internal usage with the Computer product by translating real-world friction and successes into core product and platform improvements.
Collaborate with Product Management, Design, Data Science, Sales, and enterprise customers to turn process needs into simple, reliable Computer product experiences.

Requirements

4+ years of professional software engineering experience. Experience building platforms for enterprise or internal users is a plus.
Daily use of AI models and tools, with strong knowledge of the latest frontier AI developments.
Proficiency with Python and experience with TypeScript, Go, or other programming languages.
Strong understanding of the work performed by non-technical enterprise staff, with curiosity about business and operations teams.
Broad working knowledge of the modern AI agent stack, including agents, connectors, context engineering, and evaluations.
Strong intuition for where current AI agents perform well and where they have limitations.
Understanding of MCP and when, where, and why it is used; authoring an MCP server is not required.
Strong product judgment and the ability to simplify agent user experiences for customers with varying levels of technical ability.

Benefits

Salary range of $220,000–$405,000 USD per year.
Equity.
U.S. full-time employees receive benefits including health, dental, vision, retirement, fitness, commuter, and dependent care accounts.
International full-time employees receive benefits tailored to their region of residence.
Final offer amounts depend on factors including experience and expertise.