Decagon
Vertical AI · Customer support AI agents
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 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.
Vertical AI · Customer support AI agents
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 17 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Agent Product Manager Senior Product Manager role focused on the successful delivery, adoption, and expansion of AI solutions (specifically AI agents) for enterprise customers. The role involves acting as the primary technical and strategic owner, earning trust with customer leadership, scoping solutions, building working AI agents, and scaling them in production. It requires a blend of executive influence, product building instincts, and end-to-end ownership. | Agent | 8 |