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aitechOtheroffice
About this role
Perplexity is seeking an Engineering Manager to lead the Enterprise Engineering Organization, focusing on AI adoption in large organizations.
Description
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.
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.
Requirements
- 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:
- 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.
Job Details
Market range (est.)$90k–$180k
LocationOffice
AI Score★★★★★☆☆☆☆☆ 5/10
PostedOct 3, 2026 (9d ago)
Tags & Skills
aitechOtheroffice