Engineering Manager (TLM, Agents)

Perplexity; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Perplexity is seeking a Tech Lead Manager to lead the Agents engineering team, spanning AI/ML, backend, and full-stack engineers within the Comet ecosystem.

You will guide product roadmaps, scale AI capabilities, and mentor a growing team to deliver secure, high-quality agent experiences across platforms.

Qualifications

• 8+ years of engineering experience, with at least 3 years in an engineering management role.
• Strong product intuition and taste for user experience excellence.
• Familiarity with the full AI product stack and modern software architectures.
• Proficiency in Python; knowledge of TS/Go/Rust is a plus.

Responsibilities

• Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.
• Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to scale capabilities for a growing userbase.
• Exercise sharp technical & product intuition to guide system architectures and roadmaps.
• Drive product reliability, code quality, AI evaluation, testing, and maintenance for the team.
• Oversee hiring, onboarding, and mentorship with rigorous interview pipelines and collaboration with recruiting.
• Interface with Perplexity co-founders to deliver strategic objectives in the AI industry.

Skills

AI product stack

Python

Context engineering

Reinforcement learning

Browser technologies

Job description

Overview

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.
• Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.
• Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps.
• Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team.
• Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
• Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry.

Qualifications

• Strong foundational familiarity with the full AI product stack.
• Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
• Domain expertise in at least one of the following areas:
  • Context engineering and tool interfaces for frontier AI models
  • Post-training and reinforcement learning (particularly for multimodal models)
  • Browser technologies (CDP, Playwright, extension development, etc.)
• Strong product intuition and taste for user experience excellence.
• Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better).
• Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical.
• Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent.
• 8+ years of engineering experience, with at least 3 of those years as an engineering manager.