Engineering Manager, Agents

Decagon Decagon · Vertical AI · San Francisco, CA · Engineering

Engineering Manager for an AI Agents team focused on building and shipping best-in-class AI agents for enterprise customers, driving customer retention and defining technical strategy for AI-powered customer support.

What you'd actually do

  1. Lead and grow a team of engineers building AI agents that outperform human agents in managing complex customer interactions and driving customer retention
  2. Partner directly with enterprise customers to understand their operational pain points and translate them into scalable AI agent solutions
  3. Drive execution across the full lifecycle of agent deployments, from initial implementation through continuous iteration and optimization
  4. Partner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent platform and research efforts
  5. Help define the technical strategy and roadmap for the future of AI-powered customer support

Skills

Required

  • 1+ years of engineering management experience
  • 5+ years of industry experience in software engineering
  • Proficiency with Python, Typescript and asynchronous programming
  • Experience leading teams building complex distributed systems or customer-facing products
  • A high degree of comfort digging into system failures within deep technology stacks using any tool necessary
  • Strong communication skills and ability to work directly with enterprise customers

Nice to have

  • Prior experience working with multi-modal models
  • Experience leading teams working on AI systems, LLM applications or agentic workflows

What the JD emphasized

  • AI agents
  • customer-facing products
  • complex distributed systems
  • complex customer interactions
  • AI agent platform
  • AI systems
  • LLM applications
  • agentic workflows

Other signals

  • AI agents
  • conversational AI platform
  • customer experience