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About the Role
As an Engineering Manager on the Agent Engineering team, you will lead a group of engineers building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You will work directly with leaders across industries like finance, healthcare, and hospitality, solving their users' needs with reliable and intuitive AI agents. Managers 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.
- Proficiency with Typescript.
- Proficiency with asynchronous programming.
- Experience leading teams building complex distributed systems.
- Experience leading teams building customer-facing products.
- Comfort digging into system failures within deep technology stacks using any tool necessary.
- Strong communication skills.
- Ability to work directly with enterprise customers.
- Prior experience working with multi-modal models.
- Experience leading teams working on AI systems.
- Experience leading teams working on LLM applications.
- Experience leading teams working on agentic workflows.
Skills
- Python
- Typescript
- Asynchronous programming
- Distributed systems
- Customer-facing products
- Multi-modal models
- AI systems
- LLM applications
- Agentic workflows
Location
- Onsite
- United States
Work Type
- Full-time
- Onsite
Experience Level
- 1+ years of engineering management experience
- 5+ years of industry experience in software engineering
Salary/Compensations
- $200K – $400K
- Competitive equity
Benefits
- Flexible vacation policy (subject to local requirements).
- Medical benefits.
- Dental benefits.
- Vision benefits.
- Life Insurance.
- Disability Benefits.
- Retirement Plan (e.g., 401K, pension).
- Parental Leave.
- Fertility and family building benefits through Carrot.
- Daily lunches and snacks in the office.
About the Company
- Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
- Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
- We are building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships.
- We are backed by world-class investors including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.
- We are an in-office company, driven by a shared commitment to excellence and velocity.
- Our values are Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle.
- Our mission is to deliver magical support experiences, with AI agents working alongside human agents to help users resolve their issues.