Engineering Manager, Agents
Lead and mentor a team of engineers building and deploying AI agents for enterprise customers, partnering directly on complex customer-facing deployments. Requires 5+ years engineering experience with 1+ years in management, strong Python/TypeScript skills, and distributed systems background.
About the job
Responsibilities
- Lead and grow a team of engineers building AI agents that outperform human agents in managing complex customer interactions
- Partner directly with enterprise customers to understand their operational pain points and translate them into scalable AI agent solutions
- Drive execution across the full lifecycle of agent deployments, from initial implementation through continuous iteration and optimization
- Partner with product, design and research to identify cross-customer trends that guide the evolution of Decagon's agent platform
- Help define the technical strategy and roadmap for the future of AI-powered customer support
- Support and mentor engineers through technical guidance, feedback and career development
- Maintain a high engineering bar while fostering a culture of ownership, velocity and customer obsession
Requirements
- 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
- Comfort digging into system failures within deep technology stacks
- Strong communication skills and ability to work directly with enterprise customers
Nice-to-Haves
- Prior experience working with multi-modal models
- Experience leading teams working on AI systems, LLM applications or agentic workflows
Compensation & Benefits
- $200K – $400K base salary + equity
- Take what you need vacation policy
- Medical, Dental, and Vision benefits
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K)
- Parental Leave
- Fertility and family building benefits through Carrot
- Daily lunches and snacks in the office
Skills
Python, TypeScript, Asynchronous Programming, Distributed Systems, AI Agents, Llm Applications, Multi-Modal Models, Agentic Workflows, System Debugging, Enterprise Customer Collaboration
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