Engineering Manager, AI Agents

Quick Facts

• Role: Engineering Manager for an AI Agent Engine team

• Focus: Technical leadership for agentic experiences and frontier intelligence systems

Description

Lead and grow a team building agentic experiences and frontier intelligence systems, including agent harnesses, action/decision models, and secure-by-design agent capabilities. You will provide technical leadership across the AI agents stack, guiding system architecture and product roadmaps while scaling reliability, code quality, AI evaluation, testing, and maintenance. You will also oversee hiring, onboarding, and mentorship and partner on strategic objectives.

Responsibilities

• Provide technical leadership across multiple layers of a rapidly growing AI agents product

• Develop and leverage cutting-edge AI systems and technologies; scale capabilities for a growing user base

• Guide system architectures and product roadmaps using strong technical and product intuition

• Drive product reliability, code quality, AI evaluation, testing, and maintenance

• Oversee hiring, onboarding, and mentorship; build rigorous interview pipelines

• Interface with co-founders to deliver strategic objectives for the AI industry

Requirements

• Strong foundational familiarity with the AI systems stack

• Proficiency in Python (bonus: TypeScript, Go, and/or Rust)

• Domain knowledge in at least one of: harness engineering; agent skills and plugin architectures; model training and reinforcement learning; browser technologies (CDP, Playwright, extension development)

• Strong technical intuition and taste for user experience excellence

• Strong organizational skills to manage parallel technical projects and guide tradeoffs and prioritization

• Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent

• 8+ years of engineering experience with at least 3 years as an engineering manager

Benefits

• Opportunity to lead frontier AI agent research and systems in a fast-growing product

• Scope spans architecture, evaluation/testing, reliability, security design, and platform capabilities