Engineering Manager (TLM, Agents)

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.