Enterprise · Data security & backup
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 |
|---|---|---|
| Data Science Researcher (Part-Time 25%) Part-time Data Science Researcher (25%) for Rubrik's Data Research Team, focusing on Cyber Security. The role involves leading long-horizon, high-complexity research initiatives using State-of-the-Art methodologies, with an emphasis on LLMs and Advanced NLP. The researcher will design and prototype advanced LLM workflows (RAG, Agents, Fine-tuning) and act as a knowledge hub, translating academic concepts into functional Proofs of Concept (POCs). Requires current PhD enrollment in ML/NLP/AI, industry experience with real-world data, strong Python/ML framework skills, and LLM expertise beyond prompting. | Post-trainAgent | 8 |