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 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.
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 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 |