Decagon currently has 37 active AI-related job listings. The majority of these roles, 81%, are focused on agents, with post-training roles making up 11% and application roles at 5%. Engineering is the dominant function, with 30 positions, followed by 7 in Product. The United States accounts for most of the hiring, with 33 roles, and the United Kingdom has 4. Frequent tech tags include agent_orchestration, llm_observability, and model_serving, suggesting a focus on agent development and operationalization. Over the last 30 days, Decagon has added 6 new AI roles, representing a 20% increase compared to the previous 30-day period.
Currently tracking 36 active AI roles, down 60% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$430k (avg $286k).
Decagon currently has 37 active AI-related roles in our index. The most common open titles are: Senior Agent Product Manager (3), Senior Research Engineer (3), Senior Research Engineer, Voice + Speech (2), Senior Software Engineer, Agent Orchestration (2), Senior Software Engineer, Agents (2). Most positions are in Engineering and Product.
Decagon's active AI hiring is concentrated in: agents (81%), post-training (14%), serving infrastructure (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 (31 roles), United Kingdom (5 roles), Australia (1 role).
Job postings at Decagon most frequently reference: agent orchestration, llm observability, model serving, evals, fine tuning.
In the past 30 days, Decagon has posted 4 new AI-related roles. That is a -50% change versus the prior 30 days (8 → 4).
| Title | Stage | AI score |
|---|---|---|
| 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 Research Engineer, Voice + Speech Staff Research Engineer focused on improving voice and speech capabilities for conversational AI agents in production. The role involves leading research and engineering efforts for end-to-end models and pipelines, optimizing for quality, efficiency, and user experience, and integrating these models into production systems. Requires experience in post-training and deploying LLMs, Python, ML tooling, and a track record of delivering production impact. |
| Post-trainAgent |
| 9 |
| Senior Research Engineer, Voice + Speech Senior Research Engineer focused on improving voice and speech models for conversational AI agents in production. The role involves leading research and engineering efforts for end-to-end models and pipelines, optimizing for quality, efficiency, and user experience, and integrating these models into production systems. Requires experience in post-training and deploying LLMs, with a track record of delivering measurable production impact. | Post-trainAgent | 9 |
| Research Engineer, Agents Research Engineer role focused on building and evolving agent harnesses, runtime systems, and orchestration layers for a conversational AI platform. The role involves designing and implementing systems for routing, execution, tool invocation, and safety guarantees, with a strong emphasis on optimizing for latency, reliability, and production correctness through experimentation and analysis of real-world failures. The position operates in a fast-moving, ambiguous environment, requiring collaboration with Research, Infra, and Product teams. | Agent | 9 |
| Research Engineer, Agents Research Engineer role focused on building and evolving agent harnesses, runtime systems, and control-plane logic for a conversational AI platform. The role involves designing distributed systems for agent orchestration, optimizing for latency and reliability, and iterating based on real-world failures and experimentation. It operates in a fast-moving, ambiguous space with tight feedback loops, collaborating with Research, Infra, and Product teams. | 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 for enterprise customer experiences. Responsibilities include leading research and engineering for core conversational capabilities, building end-to-end models and pipelines, and integrating them into production systems. Requires experience in post-training and deploying LLMs, Python, ML tooling, and a track record of delivering production impact from research ideas. | AgentPost-train | 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, 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 fluency in Python and ML tooling. | AgentPost-train | 9 |
| Senior Software Engineer, ML Infrastructure Senior ML Infrastructure Engineer to own platforms for Decagon's model training and inference, including distributed training systems, inference architecture across multiple providers, and frameworks for research and product teams. Focus on technical depth, leading initiatives, and shaping ML stack architecture. | Post-trainServe | 9 |
| Product Manager, Research Product Manager for the Research team at Decagon, a conversational AI platform. This role will drive the research roadmap, focusing on model training, agent architecture, and evaluation systems to enhance AI agent capabilities for enterprise customers. The PM will translate customer needs into model requirements and collaborate with engineering to deliver impactful features. | Post-trainEval Gate | 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 |
| Staff Software Engineer, ML Infrastructure Staff Software Engineer, ML Infrastructure at Decagon, a conversational AI platform. The role focuses on building and owning platforms for model training (LLM and multimodal fine-tuning/post-training) and inference, including multi-provider routing and optimization. The team works at the intersection of research and production, translating ML models into scalable systems. | Post-trainServe | 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 |
| 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 |
| Product Manager, Voice Agent Product Manager for Decagon's AI-powered voice agent, focusing on delivering human-level voice performance for customer experiences. Responsibilities include defining vision, strategy, and roadmap, understanding customer needs, and translating them into product specifications and evaluations. | 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 |
| AI Engineer This role focuses on building AI automation agents and intelligent solutions to improve company efficiency and effectiveness. The engineer will design and deploy agents for sales processes, growth marketing, and post-sales support, as well as build an account mapping platform using scrapers, search APIs, and LLMs. The role also involves driving an AI-native culture, identifying internal champions, and defining best practices. Success will be measured by data on hours saved and additional work delivered, with a focus on internal stakeholder satisfaction. | Agent | 7 |
| Director of Solutions Engineering, Enterprise West Director of Solutions Engineering for a conversational AI platform, focusing on pre-sales technical leadership, team management, and driving enterprise adoption of AI solutions. This role involves engaging with complex enterprises, designing technical strategies, and collaborating with sales, product, and engineering teams. | Ship | 7 |
| Senior Software Engineer, Enterprise Product Senior Software Engineer on the Enterprise Product team at Decagon, a conversational AI platform company. This role focuses on building self-serve tools and platforms for customers to create, configure, train, and optimize AI agents for customer experiences. The engineer will translate complex AI capabilities into intuitive interfaces for both technical and non-technical users, owning features end-to-end. | Agent | 7 |
| Senior Data Scientist Decagon is a conversational AI platform company that empowers brands to deliver customer experiences through AI agents. This Senior Data Scientist role focuses on analyzing, testing, and applying data across the business to inform product strategy and company performance. Responsibilities include building datasets and metrics, enhancing data models, partnering with Engineering and Product on experimentation and measurement, building the data stack, and evaluating ML model performance. | Ship | 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 |
| 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, Developer Platform Senior Software Engineer for Decagon's Infrastructure team, focusing on building and evolving the internal developer platform. Responsibilities include CI/CD, release automation, observability standards, platform tooling, and developer workflows to enhance engineer productivity and system operability. The role requires experience in platform/devtools/infrastructure, CI/CD systems, observability, and containerization, with a focus on measurable outcomes for developer experience. | — | 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 |
| Agent Success Manager The Agent Success Manager at Decagon partners with customers to guide AI agent deployments, support adoption, and ensure they achieve meaningful outcomes. This role involves relationship management, hands-on execution, and cross-functional collaboration with Product and Engineering to surface customer needs and influence the product roadmap. The ideal candidate has experience in technical customer-facing roles within B2B SaaS and a strong understanding of the agent building process. | — | 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 |
| Growth Marketing Manager This role is for a Growth Marketing Manager at a conversational AI platform company. The primary focus is on revenue lifecycle programs to accelerate pipeline and convert opportunities to closed-won deals. The role involves using AI tools for account research, enrichment, personalization, and experimentation with workflows, as well as traditional marketing automation and ABM strategies. The goal is to turn existing demand and pipeline into revenue by managing lifecycle journeys, re-engaging stalled opportunities, and supporting field marketing efforts. | — | 5 |
| Revenue Operations and Systems Associate This role is for a Revenue Operations and Systems Associate at Decagon, a conversational AI platform company. The associate will be responsible for Salesforce administration, configuring sales processes, managing the GTM tech stack including AI tooling, designing automated workflows, and supporting system integrations. The role requires hands-on Salesforce admin experience, familiarity with various GTM tools, comfort with integrations and APIs, and technical adeptness with AI tools to streamline workflows. While the company is an AI platform, this role focuses on the operational and systems administration aspects of the Go-To-Market functions, rather than direct AI/ML model development or research. | — | 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 |
| Senior Product & Design Sourcer Decagon is a conversational AI platform company seeking a Senior Product & Design Sourcer to fuel their rapid scaling. This role focuses on top-of-funnel sourcing for critical Product and Design hires, partnering with Recruiters and leaders to identify and attract exceptional talent. The ideal candidate has extensive sourcing experience in PM and Design, strong product/design intuition, and can develop creative sourcing strategies in a fast-paced, high-growth environment. | — | 5 |
| Technical Program Manager Decagon is seeking a Technical Program Manager to drive the end-to-end delivery of complex customer implementations and internal cross-functional programs for their conversational AI platform. The role involves partnering with teams to manage scope, dependencies, risks, and ensure timely, high-quality deployments. The TPM will translate customer requirements into program plans, drive internal initiatives like model lifecycle management and security buildouts, and continuously improve operational excellence to support company growth. | — | 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 |