About the Role
As an Engineering Manager on the Agent Product 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
$280K – $430K + 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
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 to keep you at your best
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
Decagon offers a competitive benefits package that varies by country and complements local statutory benefits. Details for this location will be provided during the recruitment process.
