Engineering Manager (Enterprise)
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 @ 4
API @ 6
Audit @ 6
Compliance @ 6
Machine Learning
Prioritization @ 7
Security @ 7
- 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.
Details
Perplexity is rapidly scaling its Enterprise Engineering Organization and is seeking Engineering Managers with deep expertise across the enterprise domain. The role combines technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale.
Depending on the area of focus, you will lead and grow a team working across the enterprise control plane, enterprise data plane, or connector marketplace and activation.
Responsibilities
- Set technical direction for the team and guide architecture decisions across the enterprise platform.
- Build 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 are extensible and easy to adopt.
- Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove adoption barriers.
- 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.
Areas of Focus
Enterprise Control Plane
Build identity, security, and governance foundations for enterprise deployments, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Support regulated-industry requirements such as SOC 2, HIPAA, data governance, and data residency, with audit logs and analytics that provide administrators visibility into Perplexity usage.
Enterprise Data Plane
Build the connector platform and semantic data layer that provide reliable, permission-aware access to enterprise systems and knowledge. This includes managed authorization, private-system access, and data freshness.
Connector Marketplace and Activation
Build discovery, recommendation, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem.
Across these areas, the role translates enterprise customer needs into scalable technical solutions across Perplexity’s products.
Requirements
- Strong technical judgment and experience building enterprise platforms or products, with an understanding of enterprise reliability, security, and usability requirements.
- Domain expertise in at least one of the following areas:
- Enterprise control planes, including 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 planes, including connector and integration platforms, authentication, source-system permissions, data synchronization, reliability at scale, semantic data layers, or knowledge platforms that make enterprise data accessible and useful to AI.
- Connector marketplaces and activation, including 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, with an emphasis on robust and reliable products supporting critical customer workflows.
- Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively.
- Experience building and managing high-performing engineering teams, with a management practice grounded in clear feedback, effective one-on-ones, 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, including at least 4 years as an engineering manager.
Benefits
Full-time U.S. employees receive a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more. International employees receive a comprehensive benefits program tailored to their region of residence.