manager software engineering Engineering Manager hybrid · Posted Apr 13, 2026
$300,000 – $405,000
USD per year

About this role

Perplexity is hiring a manager-level Engineering Manager in the software engineering function based in San Francisco, CA. The posting calls out experience with Python, TypeScript, Rust, Reinforcement Learning. Compensation is listed at $300,000–$405,000 per year.

Role
Engineering Manager
Function
software engineering
Level
manager
Track
hybrid
Employment
Full-time
Location
San Francisco, CA
Department
AI
Posted
Apr 13, 2026
AI Summary
Lead and grow Perplexity's Agents engineering team as a Tech Lead Manager, providing technical leadership across AI/ML, backend, and full-stack engineers. Drive AI agent capabilities, system architecture, and product roadmap while managing hiring and mentorship. Requires strong AI stack expertise, Python proficiency, and domain knowledge in context engineering, post-training/RL, or browser technologies.

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Job description

from Perplexity careers

Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world.

As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including:

  • Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users;

  • Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;

  • Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding;

  • Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;

  • Designing optimal data representations and modes of interaction between agents and their environments;

  • and much, much more.

Responsibilities

  • Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.

    This is an excerpt. Read the full job description on Perplexity careers →
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