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About the Role
Perplexity is seeking a Tech Lead Manager to lead and grow our highly driven Agents engineering team. This team collaborates to build agentic experiences within our Comet ecosystem, empowering users with AI agents that can faithfully actualize their intent through open-ended interactions. As the Agents TLM, you will bring AI expertise, product intuition, and engineering management skills to advance the frontier of what agents can accomplish.
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.
Requirements
- 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.
Skills
- AI
- AI/ML
- Backend Engineering
- Full-Stack Engineering
- Python
- TypeScript
- Go
- Rust
- Context Engineering
- Tool Interfaces
- Frontier AI Models
- Post-training
- Reinforcement Learning
- Multimodal Models
- Browser Technologies
- CDP
- Playwright
- Extension Development
- Product Intuition
- User Experience
- System Architectures
- Product Roadmaps
- Product Reliability
- Code Quality
- AI Evaluation
- Testing
- Maintenance
- Hiring
- Onboarding
- Mentorship
- Interview Pipelines
- Recruiting
- Strategic Objectives
Experience Level
- 8+ years of engineering experience
- 3+ years as an engineering manager
About the Company
- 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.
- Our millions of devoted users.