Engineering Manager (Enterprise)

• Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help 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.
• We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation.
• Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as:

Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools.

Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used.

• Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem.
• Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity's products.

RESPONSIBILITIES

• 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. Lead incident response and ensure platform changes and connector migrations are rolled out safely.
• Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt.
• Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand

requirements

and remove barriers to adoption.

• Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
• Work with Perplexity's co-founders to deliver enterprise engineering priorities.

QUALIFICATIONS

• Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability

requirements

of enterprise customers.

• Domain expertise in at least one of the following areas:
• Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency

requirements

for regulated industries.

• Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI.
• Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems.
• Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability.
• Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay 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 a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent.
• Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions.
• Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus.
• 8+ years of engineering experience, with at least 4 of those years as an engineering manager.