Decagon
Vertical AI · Customer support AI agents
Decagon currently has 42 active AI-related job listings. The majority of these roles, 88%, are focused on agents, with a smaller number in serving infrastructure and post-training. Engineering is the dominant function, with 32 positions, followed by product roles. The company is actively hiring in the United States and the United Kingdom. Recent hiring trends show a significant increase, with 16 new AI roles posted in the last 30 days, a 433% rise compared to the previous 30-day period.
Currently tracking 36 active AI roles, up 118% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$430k (avg $281k).
Decagon currently has 43 active AI-related roles in our index. The most common open titles are: Senior Agent Product Manager (4), Customer Engineer, Agent Builder - Spanish Speaking (3), Engineering Lead, Strategic Deals (2), Engineering Manager, Agents (2), Senior Research Engineer (2). Most positions are in Engineering and Product.
Decagon's active AI hiring is concentrated in: agents (88%), serving infrastructure (5%), post-training (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Decagon is hiring AI talent in: United States (33 roles), United Kingdom (6 roles), Germany (1 role), Canada (1 role).
Job postings at Decagon most frequently mention: Agentic Systems, Planning & Reasoning, System Design, Machine Learning, A/B Testing.
In the past 30 days, Decagon has posted 16 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research Engineer Research Engineer role focused on building and improving core conversational AI models and agent capabilities for enterprise customer experiences. The role involves end-to-end ownership from idea to production, including research, training, evaluation, and orchestration of LLMs. | AgentPost-train | 9 |
| Staff Software Engineer, Agent Orchestration Staff Software Engineer to design and build the runtime and model orchestration layer for conversational AI agents. This role focuses on the agent harness, including routing, execution logic, tool orchestration, and control-plane systems to ensure reliable, low-latency, and delightful user experiences across various channels. The position involves optimizing for latency, reliability, and production correctness, analyzing failures, building feedback loops, and adapting systems as model capabilities evolve. |
| Agent |
| 9 |
| Senior Software Engineer, Agent Orchestration Senior Software Engineer to design and build the runtime and model orchestration layer for conversational AI agents. This role focuses on the agent harness, which handles routing, execution logic, tool orchestration, and control-plane systems for live conversations. The work involves optimizing for latency and reliability, analyzing failures, and iterating quickly to improve agent performance in production. | Agent | 9 |
| Engineering Manager, Agent Orchestration Engineering Manager to lead the Agent Orchestration team, responsible for the core execution layer of Decagon's conversational AI platform. This role involves building and leading a team, owning the technical strategy for the orchestration engine, driving architecture for complex reasoning and action flows, and ensuring reliability, testing, and observability. The focus is on coordinating model reasoning, tool use, and evaluation in production to enable predictable, safe, and scalable agent behavior. | Agent | 9 |
| Staff Research Engineer Staff Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents, from idea to production. Responsibilities include improving core conversational capabilities, building end-to-end models and pipelines, and mentoring other researchers. Requires 8+ years of experience in AI/ML, prior experience post-training and deploying LLMs, and a track record of production impact. | AgentPost-train | 9 |
| Staff Software Engineer, Agent Orchestration Staff Software Engineer to design and build the runtime and model orchestration layer for Decagon's conversational AI platform. This role focuses on the agent harness, which handles routing, execution logic, tool orchestration, and control-plane systems for reliable, low-latency agent behavior in production. The work involves building distributed systems, optimizing for performance and reliability, and iterating based on real-world failures and experimentation. | Agent | 9 |
| Senior Software Engineer, Agent Orchestration The Agent Orchestration team builds the runtime and model orchestration layer that powers Decagon's agents in production. This role focuses on designing and building systems that govern how Decagon agents operate in real-world environments, including execution frameworks, model orchestration logic, and experimentation platforms to ensure agents are fast, reliable, and continuously improving. The work involves optimizing for latency, reliability, and production correctness, analyzing failures, and improving observability and testing systems. | Agent | 9 |
| Senior Research Engineer Senior Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents, from idea to production. Responsibilities include improving core conversational capabilities (instruction following, retrieval, memory, long-horizon task completion), building end-to-end models and pipelines, and integrating new models into production systems. Requires 5+ years of AI/ML experience, prior experience post-training and deploying LLMs in production, and a track record of delivering measurable production impact from research ideas. | AgentPost-train | 9 |
| Engineering Manager, Agents Engineering Manager for an AI Agents team focused on building and shipping best-in-class AI agents for enterprise customers, driving customer retention and defining technical strategy for AI-powered customer support. | Agent | 8 |
| Customer Engineer, Agent Builder - Spanish Speaking This role is for a Customer Engineer, Agent Builder responsible for the end-to-end execution of AI agent builds for enterprise customers. The role involves designing and engineering agentic logic, implementing guardrails, building integrations, and evaluating agent performance. It requires strong technical skills, customer-facing experience, and fluency in English and Spanish. | Agent | 8 |
| Customer Engineer, Agent Builder - Spanish Speaking This role is responsible for the end-to-end execution of AI agent builds for enterprise customers, focusing on technical delivery, configuration, integration, and evaluation. The role requires strong technical skills, customer-facing experience, and the ability to work in a fast-paced environment. | Agent | 8 |
| Product Manager, Duet Product Manager for Duet, a feature within a conversational AI platform that helps teams improve their AI agents' performance throughout their lifecycle. The role involves owning the product roadmap, understanding customer needs, partnering with engineering and research, defining evaluation criteria for AI output, and translating capabilities into customer value. It requires technical acumen in AI/LLMs and experience shipping AI-powered features. | AgentEval Gate | 8 |
| Staff Software Engineer, Agents Staff Software Engineer, Agents at Decagon, a conversational AI platform company. The role involves designing and building AI agents for customer interactions, identifying trends to guide platform evolution, and experimenting with/evaluating text and voice models for integration with enterprise customers. Requires 8+ years of experience, Python, Typescript, and asynchronous programming proficiency. | Agent | 8 |
| Engineering Manager, Agents Engineering Manager for an AI agent platform focused on customer experience, leading a team to build and deploy AI agents for enterprise clients. The role involves technical leadership, customer collaboration, and driving the full lifecycle of agent deployments. | Agent | 8 |
| Senior Software Engineer, Agents Senior Software Engineer to build and ship AI agents for customer interactions on a conversational AI platform. The role involves designing and building agents that outperform human agents, identifying trends to guide platform evolution, and experimenting with/integrating text and voice models at scale for large enterprise customers. | Agent | 8 |
| Senior Software Engineer, Agents Decagon is seeking a Senior Software Engineer to join their Agent Engineering team. This role focuses on building and shipping AI agents that manage complex customer interactions across voice and chat channels for enterprise clients. The engineer will have end-to-end ownership, identify trends to guide platform development, and experiment with/integrate latest text and voice models at scale. | Agent | 8 |
| Senior Agent Product Manager Senior Product Manager for a conversational AI platform, focusing on building, deploying, and scaling AI agents for enterprise clients. The role involves collaborating with engineering and customers to design features, optimize agent logic, and define AI roadmaps, driving real-world business impact. | Agent | 8 |
| Customer Engineer, Agent Builder Customer Engineer, Agent Builder role focused on end-to-end execution of AI agent builds for enterprise customers, including configuration, integration, and validation of guardrails. Requires strong technical skills, customer interaction, and experience with LLM/AI agent development. | Agent | 8 |
| Staff Software Engineer, Voice Agent Staff Software Engineer, Voice Agent at Decagon, focusing on the architecture and evolution of the real-time voice platform for conversational AI customer experiences. The role involves leading projects to improve speech understanding, synthesis quality, timing, responsiveness, and reliability across millions of interactions, collaborating with Research, Infra, and Product teams. Responsibilities include defining standards for reliability, testing, and observability, building debugging frameworks, and mentoring senior engineers. | AgentServe | 8 |
| Product Manager, Enterprise Agent Platform Product Manager for an Enterprise Agent Platform, focusing on developer experience, integrations, and enterprise readiness for AI agents. The role involves defining strategy, roadmaps, and working with engineering and security to enable complex enterprise deployments. | Agent | 7 |
| Engineering Lead, Strategic Deals Engineering Lead for Strategic Deals at a conversational AI platform. This role involves owning the technical build of AI agents for large enterprise clients end-to-end, from POC to stabilization. It requires working with customers to define requirements, leading a pod of engineers to ship solutions, and productionizing them for broader use. The role sits at the intersection of product strategy, technical execution, and customer engagement, with a focus on scaling AI agents for millions of users. | AgentServe | 7 |
| Engineering Lead, Strategic Deals Engineering Lead for Strategic Deals at Decagon, a conversational AI platform. This role involves owning the technical build of AI agents for large enterprise clients end-to-end, from POC to stabilization. Responsibilities include working with customers, leading a pod of engineers, productionizing solutions, and contributing to core product strategy. Requires strong engineering leadership and experience with customer-facing roles. Bonus for experience productionizing agentic systems. | AgentShip | 7 |
| Director of Customer Engineering, Agent Builder Director of Field Engineering leading technical delivery of AI agent deployments for enterprise customers, building teams and playbooks to scale. This role involves hands-on execution, customer engagement, and influencing the platform roadmap. | Agent | 7 |
| Product Manager Product Manager for a conversational AI platform, focusing on agent building, testing, experimentation, analytics, QA, versioning, integrations, and enterprise controls. The role involves shaping the roadmap for core capabilities that power AI agents, working with customers to transform workflows, and translating ideas into product specifications. | Agent | 7 |
| Senior Agent Product Manager Product Manager for an AI agent platform, focusing on designing, building, and optimizing AI agents for enterprise customers. The role involves collaborating with engineering, understanding customer workflows, and influencing product roadmap based on customer needs and market trends. This role requires deep technical acumen in AI agents and experience in shaping solutions for large-scale deployment. | Agent | 7 |
| Agent Education Manager This role focuses on enabling customers and partners to effectively use Decagon's conversational AI platform. The Agent Education Manager will act as an expert advisor, teaching stakeholders how to build and manage AI agents, define best practices, and develop learning programs. The role involves designing and delivering workshops, creating educational content, and collaborating with internal teams to ensure programs align with product capabilities. It's a technical and strategic position aimed at driving product adoption and mastery within enterprise clients. | Agent | 5 |
| Staff Software Engineer, Enterprise Product Staff Software Engineer for the Enterprise Product team at Decagon, a conversational AI platform company. The role involves leading a full-stack product engineering team to build and scale the platform that empowers customers to create and optimize AI agents. This includes driving technical direction, creating AI-powered tools for non-technical users, building monitoring and analytics, and mentoring engineers. | Agent | 5 |
| Field Engineer Decagon is seeking a systems-minded Field Engineer to design, prototype, and build internal tooling, data infrastructure, and automated workflows for their conversational AI platform. This role focuses on creating systems that power feedback loops, automate workflows, connect APIs, and deliver actionable insights, enabling internal teams to operate efficiently. The engineer will leverage tools like ChatGPT and develop LLM-powered flows to automate repetitive tasks and improve internal processes. | Agent | 5 |
Vertical AI · Customer support AI agents