Perplexity AI

Engineering Manager (TLM, Agents)

San Francisco

Sponsorship not specifiedDetected 44 days ago

TypeScriptPythonGoFull-Stack DevelopmentMachine LearningAgentic AIPlaywrightLeadershipMentoringOrganizational Skills

About the role

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.

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.
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.
Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users;
Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;

Domain expertise in at least one of the following areas:
Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better).
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.
Strong foundational familiarity with the full AI product stack.
Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
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 organizational skills for managing and delivering parallel technical projects

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

This listing is sourced directly from Perplexity AI's careers page and normalized into a canonical job model.