Member of Technical Staff, Enterprise Adoption at Perplexity, New York

Perplexity is hiring a Member of Technical Staff (Software Engineer, Enterprise Adoption) for its New York, NY office. This full-time role on the Enterprise Adoption team sits at the intersection of software engineering and applied AI, focused on making the Perplexity Computer an indispensable tool for both internal teams and external enterprise customers. The position carries a verified salary range of USD 220,000 – 405,000 per year.

Role Overview: Member of Technical Staff at Perplexity

The Enterprise Adoption team's mandate is to continually uplevel how Perplexity and its customers use the Perplexity Computer as an instrument of transformation — delivering new ways of working in an agentic future. Today, Perplexity uses AI tools across everything it does, from frontend and backend engineering to applied AI research and business operations.

Your users will include internal teams such as recruiting, go-to-market, finance, legal, support, and operations. You will engineer the core systems that make Computer a multiplier of their craft. Learnings from internal teams will also be applied for enterprise customers, bringing frontier AI working patterns to external organizations.

What You'll Do

• Identify high-potential opportunities: Prioritize and execute on initiatives that make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach.
• Build cross-functional empathy: Develop a deep understanding of the nuances of technical and business teams' work across disciplines like recruiting, sales, finance, support, legal, and operations.
• Engineer scalable infrastructure: Make knowledge stores, systems, and human-orchestrated processes legible to Computer by building connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale.
• Close the feedback loop: Translate the friction and triumphs of real work into core product and platform improvements.
• Collaborate broadly: Work closely with PM, Design, Data Science, Sales, and Enterprise customers to turn process needs into simple, reliable product experiences in Computer.

Key Qualifications

• Experience: 4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus.
• AI fluency: Daily use of AI models and tools, with strong knowledge of the latest frontier developments.
• Technical stack: Proficiency in Python, along with experience in TypeScript, Go, or other languages.
• Business acumen: Strong understanding of the work of non-technical staff across enterprises, with genuine curiosity about business and operations functions.
• Agent stack knowledge: 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. You should understand concepts like MCP and know when and why they are used.
• Product judgement: Ability to make decisions that simplify the agent user experience for customers with a range of technical abilities.

Application Tips for Engineering Candidates

• Showcase agent-building experience: If you have built tools using agent frameworks, highlight these projects prominently in your portfolio or GitHub.
• Demonstrate cross-functional impact: Prepare specific examples of how your engineering work directly improved workflows for non-technical teams, such as sales operations or customer support.
• Highlight AI integration depth: Discuss your hands-on experience with API integrations for large language models, including retrieval-augmented generation pipelines and evaluation metrics.
• Reference the modern stack: Be ready to discuss your perspective on context engineering and connector architecture, as these are central to the role's mission.

This role is ideal for engineers who are passionate about bringing frontier AI working patterns to both internal teams and external organizations. The application deadline is 2026-11-14.