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).
Seattle · CDP
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.
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 |
|---|---|---|
| Lead Software Development Engineer Amperity is an AI-first company building an AI-powered Customer Data Cloud. This Lead Software Development Engineer role focuses on ingesting and understanding large amounts of customer data, training ML models to unify this data, and realizing research algorithms in production for high-scale usage. The role involves building visual experiences for users to understand customers and insights, integrating the system into business operations, and automating data processing jobs. It requires extensive experience in SaaS and distributed systems, large-scale data-oriented systems, and strong technical judgment for architectural decisions and guiding teams. | Post-trainData | 7 |