Engineering Manager, Agent Product
$280k - $430k • New York City • FullTime
Posted 3mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
As an Engineering Manager on the Agent Product team, you will lead a group of engineers building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You'll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users' needs with reliable and intuitive AI agents. Managers here are expected to operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. This role is for someone who enjoys mentoring engineers, partnering closely with customers, and diving deep into complex system challenges to build elegant solutions that scale to millions of users.
Responsibilities
- Lead and grow a team of engineers building AI agents that outperform human agents in managing complex customer interactions and driving customer retention.
- 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 and research efforts.
- 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.
- 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.
- Prior experience working with multi-modal models.
- Experience leading teams working on AI systems, LLM applications, or agentic workflows.
Benefits
- Equity
- Medical, Dental, and Vision benefits for you and your family
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K, pension)
- Parental Leave
- Fertility and family building benefits through Carrot
- Monthly stipend to support your wellness, lifestyle, and work-life balance
- Daily lunches and snacks in the office