Engineering Manager (tlm, Agents)

Perplexity Perplexity · AI Frontier · San Francisco, CA · AI

Engineering Manager for the Agents team, focusing on building and scaling AI agents that actualize user intent through open-ended interactions. The role involves technical leadership, product strategy, and team management in the AI agents space.

What you'd actually do

  1. Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.
  2. 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.
  3. Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps.
  4. Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team.
  5. Oversee hiring, onboarding, and mentorship for a rapidly growing team.

Skills

Required

  • Python
  • 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
  • Strong organizational skills for managing and delivering parallel technical projects
  • 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.

Nice to have

  • TypeScript
  • Go
  • Rust

What the JD emphasized

  • ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical

Other signals

  • leading a team
  • building agentic experiences
  • advancing the frontier of AI agents
  • scaling AI capabilities