Member of Technical Staff
Build core systems and connectors that integrate Perplexity's AI agent platform (Computer) into internal enterprise workflows across recruiting, sales, finance, legal and other teams. Translate real usage into product improvements while applying learnings to external enterprise customers. Requires 4+ years software engineering experience and deep familiarity with the modern AI agent stack.
About the job
What you'll do
- Identify, prioritize, and execute on the highest-potential opportunities to make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach.
- Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals (recruiting, sales, finance, support, legal, and operations), toward collaborating with them to harness AI in new ways.
- Make our knowledge stores, systems, and human-orchestrated processes legible to Computer, engineering the connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale.
- Close the loop between internal usage and the Computer product itself, translating the friction and triumphs of real work into core product and platform improvements.
- Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn any process need into simple, reliable product experiences in Computer.
Qualifications
- 4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus.
- Daily use of AI models/tools, with strong knowledge on the latest frontier.
- Proficiency with Python, along with experience and/or TypeScript, Go, and other languages.
- Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users.
- Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.)
- Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.
Skills
Python, TypeScript, Go, AI Agents, Ai Models, Connectors, Context Engineering, Evals, Mcp
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