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 |
|---|---|---|
| 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 |
| 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 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 |