Engineering Manager, Agent Engineering TeamAs 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 retentionPartner directly with enterprise customers to understand their operational pain points and translate them into scalable AI agent solutionsDrive execution across the full lifecycle of agent deployments, from initial implementation through continuous iteration and optimizationPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon's agent platform and research effortsHelp define the technical strategy and roadmap for the future of AI-powered customer supportSupport and mentor engineers through technical guidance, feedback and career developmentMaintain a high engineering bar while fostering a culture of ownership, velocity and customer obsessionYour background looks something like this:Have 1+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingExperience leading teams building complex distributed systems or customer-facing productsA high degree of comfort digging into system failures within deep technology stacks using any tool necessaryStrong communication skills and ability to work directly with enterprise customersEven better:Prior experience working with multi-modal modelsExperience leading teams working on AI systems, LLM applications or agentic workflowsCompensation: $200K – $400K + EquityThis 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:Medical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension)Parental LeaveFertility and family building benefits through CarrotMonthly stipend to support your wellness, lifestyle, and work-life balanceDaily lunches and snacks in the office to keep you at your bestTake what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)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.