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 - Sydney Senior Agent Product Manager responsible for defining and driving AI transformation roadmaps for Fortune 500 clients, building and optimizing enterprise-grade AI agents, and acting as the technical owner for strategic opportunities. This role involves executive partnership, scoping solutions, and directing engineering teams to scale AI agents in production. | Agent | 8 |