Decagon
ScalingVertical AI · Customer support AI agents
Currently tracking 31 active AI roles, down 52% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$430k (avg $284k).
Hiring
31 / 31
Momentum (4w)
↓-14 -52%
13 opens last 4w · 27 prior 4w
Salary range · avg $284k
$150k–$430k
USD · disclosed roles only
Tracked since
Aug '25
last role today
Hiring velocityscroll left for older weeks
Jobs (5)
| 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, 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 |
| 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 |