Currently tracking 33 active AI roles, down 19% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$283k (avg $204k).
Axon has 42 active AI-related job listings. The company is primarily hiring for roles related to agents, which constitute 33% of its AI openings, and application development, making up 31%. Engineering roles are the most frequent, accounting for 29 of the positions. In the last 30 days, Axon has added 23 new AI roles, representing a significant increase of 188% compared to the previous 30-day period.
Axon currently has 39 active AI-related roles in our index. The most common open titles are: Senior D365 F&O Solutions Analyst (5), Sr. Full Stack Member of Technical Staff (5), Senior AI Research Scientist (3), Senior Machine Learning Scientist (3), Senior Software Engineer I (2). Most positions are in Engineering and Research.
Axon's active AI hiring is concentrated in: application (33%), agents (33%), post-training (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Axon is hiring AI talent in: United States (28 roles), Finland (6 roles), Vietnam (3 roles), United Kingdom (2 roles).
Job postings at Axon most frequently reference: model serving, multimodal, inference infra, agent orchestration, vision.
In the past 30 days, Axon has posted 5 new AI-related roles. That is a -69% change versus the prior 30 days (16 → 5).
| Title | Stage | AI score |
|---|---|---|
| Senior Sales Engineer - META Region Axon is seeking a pre-sales sales engineer to accelerate sales initiatives by pitching technology to leadership, support staff, and end-users. The role involves achieving mastery of Axon technologies, leading technical presentations, having conversations with IT departments, providing 1st-level technical support during the pre-sales cycle, and managing the POC/Pilot process. The candidate will also capture feature requests, develop Statements of Work, and represent the company at field events. Basic knowledge of security, computer hardware, operating systems, storage, networking, and virtualization is required, with experience in Law Enforcement technology being a plus. | — | 0 |