Currently tracking 8 active AI roles, with 14 new openings in the last 4 weeks. Primary focus: Agent · Engineering.
Vertical AI · Predictive maintenance
Augury currently has 14 active AI-related roles in our index. The most common open titles are: Software Data Engineer, Data Platform (2), AI-Native Mobile Engineer - Deployment Platform, Algorithm and Applied AI Scientist (DSP), Experienced AI Applied Scientist, Experienced AI Software Engineer . Most positions are in Engineering and Product.
Augury's active AI hiring is concentrated in: agents (57%), data (21%), application (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Augury is hiring AI talent in: Israel (6 roles), United States (1 role).
Job postings at Augury most frequently mention: Manufacturing, Predictive Modeling, Machine Learning, Generative AI, Agentic Systems.
In the past 30 days, Augury has posted 4 new AI-related roles. That is a -67% change versus the prior 30 days (12 → 4).
| Title | Stage | AI score |
|---|---|---|
| Algorithm and Applied AI Scientist (DSP) Augury is a leader in Industrial AI, seeking an Algorithm and Applied AI Scientist to lead a project focused on advanced signal processing and data analytics. The role involves researching and developing novel models, extracting features from unique datasets, and deploying production-ready AI models for industrial manufacturers to drive efficiency and reduce downtime. | ShipData | 8 |
| Principal Product Manager, Machine Health & Industrial AI Workforce Principal Product Manager for Machine Health & Industrial AI Workforce at Augury. This role focuses on defining and scaling products at the intersection of industrial AI, machine health, IoT, and enterprise software. The PM will partner with Engineering, Data Science, and GTM teams to bring AI-powered workflows and agentic experiences to market, focusing on expanding machine coverage and delivering AI-enabled solutions for reliability, maintenance, and operations teams. The role requires strong product leadership, cross-functional collaboration, and experience in B2B SaaS, enterprise software, and AI/ML products, particularly in industrial or operational technology environments. |
| Ship |
| 5 |