Engineering Manager (tlm, Agents)

Perplexity Perplexity · AI Frontier · San Francisco, CA · AI Research & Systems

Engineering Manager for an AI Agents team, focusing on building agentic experiences, training action/decision models, and managing a team of AI/ML, backend, and full-stack engineers. The role involves technical leadership, product intuition, and scaling AI capabilities for millions of users.

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. Develop rigorous interview pipelines and work closely with recruiting to source candidates.

Skills

Required

  • Python
  • TypeScript
  • Go
  • Rust
  • Context engineering
  • tool interfaces for frontier AI models
  • Post-training
  • reinforcement learning
  • multimodal models
  • Browser technologies
  • CDP
  • Playwright
  • extension development
  • frontier models
  • managing engineering teams
  • hiring
  • growing talent
  • retaining talent

Nice to have

  • AI expertise
  • product intuition
  • engineering management skills
  • deep understanding of AI agents
  • experience with multimodal models
  • experience with open-world agents

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 AI agents
  • advancing the frontier of agent capabilities
  • training action and decision models
  • developing permission architectures for agentic capabilities
  • managing and growing an AI engineering team