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.

Manage engineering team

High user impact and rapid iteration

Leadership scope High

AI / domain intensity Medium

What you would do

• 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.

Why this role matters

• Work on a core product area for the next era of AI.
• Direct impact on how people discover, interact with, or benefit from technology.
• Bridge product ambition with research and infrastructure reality.

What the employer asks for

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

Where the uncertainty is

• Exact team size, reporting line, and near-term mandate are not fully visible from the public posting.
• Compensation, equity, or leveling details are not explicit yet.
• Working model and location flexibility still need verification.
• The balance between research, product, and infrastructure responsibilities may still be broad.

Evidence this role rewards

• Hands-on comfort with modern AI or multimodal product stacks.
• Leadership experience in fast-moving or high-ownership teams.
• Track record of turning complex ideas into shipped products.

What to verify before acting

• Team mission, size, and what success looks like in the first months.
• Reporting structure, level expectations, and decision authority.
• Whether the real scope is product, research, infrastructure, or a blend.
• Working model, compensation, equity, and interview process.