Engineering Manager, Agents

Decagon

$200K — $400K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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 with diagnosing system failures across technology stacks
  • Strong communication skills for direct customer engagement

Responsibilities

  • Lead and develop a team building AI agents that surpass human performance in management of complex customer interactions
  • Collaborate with enterprise customers to identify operational pain points and create scalable AI solutions
  • Oversee the entire lifecycle of agent deployments from initial implementation to ongoing optimization
  • Work with product, design, and research teams to extract trends that enhance Decagon's agent platform
  • Define the technical strategy and roadmap for AI-driven customer support
  • Mentor engineers through technical guidance, feedback, and career development
  • Maintain high quality standards while fostering a culture of ownership and customer focus

Benefits

  • Unlimited vacation policy (subject to local requirements)
  • Comprehensive medical, dental, and vision insurance for employee and family
  • Life insurance and disability benefits
  • Retirement plan options
  • Parental leave policy
  • Fertility and family-building benefits through Carrot
  • Daily lunches and office snacks
Full Job Description
About the Team

The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon's growth. You will lead a team building on our industry-leading AI agent platform, collaborate directly with customers and help devise long-term, scalable solutions.

Our mission is to deliver magical support experiences - AI agents working alongside human agents to help users resolve their issues.

About the Role

As an Engineering Manager on the Agent Engineering team, you'll 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.

In this role, you will
  • 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

Your background looks something like this
  • Have 1+ years of engineering management experience
  • Have 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

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


Compensation

$200K - $400K + Offers Equity

This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.

In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.

Benefits

We proudly offer the following benefits for our full-time employees:
  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
  • 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
  • Daily lunches and snacks in the office to keep you at your best

These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

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