Rubrik has 17 active job listings related to artificial intelligence. The majority of these roles, 71%, are focused on agents. The company is primarily hiring for engineering positions, with 11 roles available. Recent hiring activity shows a significant increase, with 10 new AI roles posted in the last 30 days, a 900% rise compared to the previous 30-day period.
Currently tracking 7 active AI roles, down 48% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $135k–$263k (avg $197k).
Rubrik currently has 14 active AI-related roles in our index. The most common open titles are: Application Security Engineer, Cyber Resilience Architect, APJ, Data Science Researcher (Part-Time 25%), Enterprise Architect, Global IT, India Benefits & AI Operations Intern. Most positions are in Engineering and Product.
Rubrik's active AI hiring is concentrated in: agents (71%), application (7%), serving infrastructure (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Rubrik is hiring AI talent in: India (9 roles), United States (3 roles), Israel (2 roles).
Job postings at Rubrik most frequently reference: agent orchestration, guardrails, fine tuning, model serving, agent research.
In the past 30 days, Rubrik has posted 3 new AI-related roles. That is a -62% change versus the prior 30 days (8 → 3).
| Title | Stage | AI score |
|---|---|---|
| Enterprise Sales Engineer, Sweden This role is for an Enterprise Sales Engineer in Sweden for Rubrik, a company focused on data resilience, cyber resilience, and AI acceleration. The Sales Engineer will provide technical direction and business guidance to the sales team, evangelize and architect Rubrik's tools, and build relationships with customers. The role requires technical leadership, subject matter expertise in data management and storage, and the ability to make technical and sales presentations. While the company is involved in AI, this specific role is in sales engineering, not directly building AI models or systems. | — | 0 |