Decagon
Vertical AI · Customer support AI agents
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 |
| Senior Research Engineer, Voice + Speech Senior Research Engineer focused on developing and deploying voice and speech models for a conversational AI platform. The role involves leading research and engineering efforts to improve core conversational capabilities, build end-to-end models, and integrate them into production systems. Requires experience in post-training and deploying LLMs, Python, and ML tooling, with a track record of delivering production impact. |
| Post-trainServe |
| 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, Voice Staff Research Engineer focused on developing and deploying real-time voice agents, leading research and engineering efforts for core conversational capabilities, and mentoring other team members. The role involves end-to-end ownership from prototype to production impact, with a focus on improving speech understanding, naturalness, and resilience. | Post-trainAgent | 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 |
| Strategic Finance Manager, GTM Decagon is seeking a Strategic Finance Manager, GTM to own sales capacity modeling, drive the GTM planning cycle, design and administer the GTM incentive and commission framework, and serve as the embedded finance partner to the CRO and CCO. The role involves building and maintaining the GTM financial model, defining and tracking GTM-specific KPIs, and partnering with RevOps to build dashboards and forecasting infrastructure. The ideal candidate has 8-10 years of experience in Strategic Finance, Corporate Finance, GTM Finance, or Revenue Ops at a high-growth technology company, with at least 2 years in investment banking. | — | 5 |
| Revenue Operations Associate The Revenue Operations Associate at Decagon will own day-to-day processes across GTM functions, including managing accounts, processing deals, driving reports, and operationalizing territories. This role involves monitoring CRM, creating and analyzing reports for data-driven insights, owning data quality through audits, and documenting internal processes. The ideal candidate has 2-4 years of experience in Sales Operations, a proven ability to identify and fix broken processes, strong ownership, and proficiency in Salesforce and Excel/Google Sheets. | — | 5 |
| GTM Analytics Engineer This role is for a GTM Analytics Engineer who will build the data infrastructure for the go-to-market organization. Responsibilities include designing and building data infrastructure in BigQuery, writing models to transform data, partnering with sales leadership, building data pipelines, owning data quality, and setting technical standards for GTM data modeling. Requires 4+ years of experience in data/analytics engineering, strong SQL, experience with BigQuery and dbt, and familiarity with GTM data and SaaS metrics. | — | 5 |
| Enterprise Account Executive - Austin Enterprise Account Executive for a conversational AI platform, responsible for managing the full sales cycle, generating pipeline, and collaborating with internal teams to ensure customer success and revenue growth. | — | 5 |
| Performance Marketing Manager, Paid Social & EMEA Growth This role is for a Performance Marketing Manager focused on scaling paid social programs internationally, specifically for the EMEA region, for a conversational AI platform company. The role requires managing paid social spend end-to-end, adapting to local market nuances, and aligning spend with sales opportunities to drive pipeline and revenue. | — | 5 |
| 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 |
| Founding Support Lead Founding Support Lead for a conversational AI platform focused on enterprise customer experiences. The role involves building and scaling the support function end-to-end, including establishing 24/7 incident response, defining processes, tooling, SLAs, and eventually hiring and leading a team. The role requires deep technical understanding of AI agents and integrations, with an emphasis on hands-on problem-solving and ownership. | Ship | 5 |
| Senior Software Engineer, Cloud Infrastructure Senior Software Engineer focused on building and operating the cloud infrastructure, ML serving, and deployment platforms for a conversational AI company. The role involves owning enterprise deployments in customer-owned cloud environments, ensuring reliability, scalability, and security of agentic AI workloads. | ServeAgent | 5 |
| Go to Market Recruiting Coordinator The Go to Market Recruiting Coordinator will partner with recruiters and hiring managers to orchestrate a seamless hiring experience for GTM talent at a conversational AI company. This role involves end-to-end interview coordination, championing candidate experience, and improving recruiting operations. The company utilizes AI agents to power customer interactions. | — | 5 |
| Technical Recruiting Coordinator Decagon is hiring a Technical Recruiting Coordinator to support their Engineering Recruiting team. The role involves orchestrating the hiring process for engineers building AI, managing interview coordination, and ensuring a positive candidate experience. This position offers exposure to engineering recruiting within a fast-growing AI company. | — | 5 |
| Technical Enablement Manager Decagon is seeking a Technical Enablement Manager to build and scale enablement programs for their Solutions Engineering and technical post-sales teams. This role focuses on developing technical talent, improving field effectiveness, and scaling execution within a conversational AI platform company. The manager will create onboarding, ongoing development, and role-specific training, develop technical playbooks, and partner cross-functionally with Product, Engineering, and GTM teams. They will also own enablement infrastructure, learning systems, demo environments, and AI-powered tooling, while leading key GTM moments and evolving programs as the company scales. | — | 5 |
| Brand Designer Brand Designer for a conversational AI platform company, focusing on visual identity, brand storytelling, and marketing-led initiatives. The role involves designing assets across various channels, evolving the brand design system, and contributing to brand strategy. Requires experience in brand design, art direction, and proficiency in design tools, with a curiosity for AI design models. | — | 5 |
| Head of Industry Marketing Head of Industry Marketing to own go-to-market strategy for a conversational AI platform, focusing on positioning, messaging, and sales enablement across core verticals. This role requires deep understanding of B2B SaaS marketing, GTM strategy, and the ability to translate technical capabilities into buyer-specific value propositions. | — | 5 |
| Platform Engineer, Security This role is for a Platform Engineer focused on Security within a conversational AI company. The primary responsibility is to lead the application security strategy and implementation for the AI platform, ensuring protection against threats while maintaining performance. This involves designing controls, collaborating with engineering teams, establishing testing programs, conducting code reviews, building security tooling, and responding to incidents. While the role operates within an AI company and interacts with AI systems, the core craft is application security engineering, not building or researching AI models themselves. | — | 5 |
| Senior Platform Engineer, Security Senior Platform Engineer, Security at Decagon, a conversational AI platform company. This role focuses on designing, building, and operating the security infrastructure for the AI platform, ensuring secure handling of sensitive customer data and defending against AI-enabled threats. The role involves creating secure service creation paths, security tooling, and infrastructure-as-code, with a focus on automation, observability, and self-service. It requires experience with cloud platforms (GCP/AWS), IaC (Terraform), and systems programming, and partners with various teams to translate enterprise and compliance requirements into automated technical controls. | — | 5 |
| Senior Software Engineer, Data Infrastructure Senior Software Engineer, Data Infrastructure at Decagon, an AI platform company. This role focuses on designing, building, and operating the data systems that power Decagon's AI products, including data pipelines, streaming systems, and analytical data layers. The engineer will ensure reliability, performance, and scalability of these data infrastructures, partnering with research and product teams. Experience with Kafka, Flink, Airflow, ClickHouse, BigQuery, and observability tools is required. | — | 5 |
| Senior Software Engineer, Data Infrastructure Senior Software Engineer, Data Infrastructure role focused on building and operating data systems that power AI products. This involves designing and implementing high-throughput data pipelines, streaming systems, and analytical data layers, with a strong emphasis on reliability, performance, and scalability. The role partners with research and product teams to architect data solutions and optimize data paths for low latency. | Serve | 5 |
| Deal Desk Operations & Strategy Lead Decagon is seeking a Deal Desk Operations & Strategy Lead to join their Pricing team. This role will focus on accelerating and scaling the enterprise go-to-market motion by structuring and proposing deals, building internal deal processes, commercial negotiations, and sales enablement. The ideal candidate will have 6-10+ years of experience in pricing, deal desk, or monetization functions at high-growth companies and strong cross-functional collaboration skills. | — | 5 |
| Implementation Manager This role is for an Implementation Manager at Decagon, a conversational AI platform company. The manager will lead the implementation of AI agents for enterprise customers, focusing on strategy, execution, and scaling the implementation function. They will design playbooks, improve processes using AI tools and automation, and partner with various teams to ensure successful deployments and customer success. The role requires experience in implementations, consulting, or project management, with a preference for experience in deploying AI or customer service platforms. | — | 5 |
| Founder's Office, Founder Associate Decagon is seeking a Founder Associate to join their Founder's Office. This role will work directly with Founders and Execs to scale the business and shape the foundation of a world-class AI company. Responsibilities include driving strategic initiatives, identifying areas for improvement, and building processes. The ideal candidate is a past founder or aspiring founder, a strong operator, comfortable owning projects end-to-end, uses first-principles thinking and data to inform decisions, and is an excellent communicator. | — | 5 |
| Business Development, Private Equity Lead Decagon is seeking a Business Development, Private Equity Lead to drive expansion by cultivating executive relationships across enterprises, private equity firms, and strategic partners. This role focuses on accelerating growth through high-impact commercial and partnership outcomes, working closely with founders and go-to-market leaders to secure meaningful relationships with senior decision-makers. It requires strong judgment, executive presence, and the ability to operate in ambiguous, founder-led situations, with a focus on driving adoption across PE portfolio companies. | — | 5 |
| Marketing Operations Specialist The Marketing Operations Specialist will manage and optimize the marketing tech stack, focusing on HubSpot, to support Go-To-Market (GTM) strategies. This role involves lead management, campaign analysis, performance reporting, data governance, and streamlining lead handoff processes. The position requires experience with marketing automation tools, data orchestration, and utilizing AI-driven tools for GTM automation. | — | 5 |
| Business Value Consultant The Business Value Consultant will partner with Sales on strategic enterprise opportunities, translating Decagon's conversational AI platform into quantified business impact. This role involves building ROI models, business cases, and value frameworks to accelerate deal cycles and increase win rates. The consultant will also operationalize value-based selling methodologies and collaborate with cross-functional teams. | — | 5 |