Amperity currently has 8 active AI-related job listings. The majority of these roles, 50%, are in the application stage. The top hiring function is Engineering, with 7 roles, and the primary hiring country is the United States, with 5 roles. Frequent tech tags include model serving, inference infrastructure, and agent orchestration. There were 0 new AI roles posted in the last 30 days, representing a 100% decrease compared to the previous 30-day period.
Seattle · CDP
Currently tracking 4 active AI roles, with 7 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $186k–$280k (avg $228k).
Amperity currently has 8 active AI-related roles in our index. The most common open titles are: Lead Software Development Engineer (2), Senior Software Development Engineer (2), Principal AI Product Manager, Senior Machine Learning Engineer, Software Development Engineer II. Most positions are in Engineering and Product.
Amperity's active AI hiring is concentrated in: application (50%), serving infrastructure (25%), agents (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amperity is hiring AI talent in: United States (5 roles), Argentina (3 roles).
Job postings at Amperity most frequently mention: Statistics, Predictive Modeling, Machine Learning, Content Generation, Authentication.
In the past 30 days, Amperity has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal AI Product Manager Amperity is seeking a Principal AI Product Manager to own and articulate the AI product vision for their AI-powered Customer Data Cloud. This role will define the multi-year AI product strategy, establish AI principles, drive long-range planning, and lead the integration of LLMs, predictive models, and intelligent automation into core customer workflows. The ideal candidate has 12+ years of experience in product management, AI/ML platforms, or enterprise SaaS with a proven track record in AI-centric product lines and strong technical fluency in ML concepts. | Ship | 8 |