Engineering Manager (Enterprise)

San Francisco · 8+ years experience · Full-time · Posted Sep 15, 2026

At a glance

Perplexity is seeking an Engineering Manager with deep expertise across the Enterprise domain to help scale the Enterprise Engineering Organization and lead the next wave of growth.
As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale.

Set technical direction for your team and guide architecture decisions across the enterprise platform.
Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently.
Shape roadmaps with product and design, applying strong technical judgment and product intuition.
Set a high bar for reliability, code quality, testing, and maintenance, and lead incident response.
Partner with engineering teams across the company to ensure platforms are extensible and easy to adopt.
Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success.
Oversee hiring, onboarding, and mentorship for a rapidly growing team.
Work with Perplexity’s co-founders to deliver enterprise engineering priorities.

Strong technical judgment and experience building enterprise platforms or products.
Domain expertise in at least one of the specified enterprise areas: control plane, data plane, or connector marketplace and activation.
Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and maintainability.
Detail-oriented and quality-focused to ensure critical customer workflows remain robust and reliable.
Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively.
Experience building and managing high-performing engineering teams with strong management practice.
Ability to lead parallel technical initiatives and make clear prioritization and tradeoff decisions.
8+ years of engineering experience, with at least 4 of those years as an engineering manager.

Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus.