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Currently tracking 7 active AI roles, down 38% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $135k–$263k (avg $197k).

Hiring
7 / 7
Momentum (4w)
↓-14 -38%
23 opens last 4w · 37 prior 4w
Salary range · avg $197k
$135k–$263k
USD · disclosed roles only
Tracked since
Jan 29
last role 4w ago
Hiring velocityscroll left for older weeks
1 new role
Aug 17
1 new role
Oct 5
2 new roles
Jan 8
1 new role
Mar 10
1 new role
May 19
1 new role
Jun 2
1 new role
Sep 29
2 new roles
Oct 13
4 new roles
20
3 new roles
27
2 new roles
Nov 3
2 new roles
10
1 new role
17
1 new role
24
1 new role
Dec 1
3 new roles
8
5 new roles
15
2 new roles
22
8 new roles
Jan 5
4 new roles
12
5 new roles
19
4 new roles
26
4 new roles
Feb 2
6 new roles
9
5 new roles
16
4 new roles
23
8 new roles
Mar 2
2 new roles
9
10 new roles
16
7 new roles
23
7 new roles
30
10 new roles
Apr 6
8 new roles
13
11 new roles
20
10 new roles
27
13 new roles
May 4
13 new roles
11
1 new role
18
4 new roles
25
4 new roles
Jun 1
6 new roles
8
9 new roles
15
Rubrik

Rubrik

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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Rubrik hiring for?

    Rubrik currently has 15 active AI-related roles in our index. The most common open titles are: Application Security Engineer, Cyber Resilience Architect, APJ, Data Science Intern , Data Science Researcher (Part-Time 25%), Enterprise Architect, Global IT. Most positions are in Engineering and Product.

  • What stage of AI development does Rubrik focus on?

    Rubrik's active AI hiring is concentrated in: agents (67%), post-training (13%), application (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Rubrik hiring AI talent?

    Rubrik is hiring AI talent in: India (8 roles), United States (4 roles), Israel (3 roles).

  • What technologies does Rubrik's AI team work with?

    Job postings at Rubrik most frequently reference: agent orchestration, guardrails, fine tuning, model serving, inference infra.

  • How many AI roles has Rubrik posted recently?

    In the past 30 days, Rubrik has posted 3 new AI-related roles. That is a -67% change versus the prior 30 days (9 → 3).

Jobs (2)

7 AI · 106 total active
FilteredStagePost-train×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 2Post-train · 2Agent · 5
Function
AllEngineering · 5Product · 2Research · 2
Country
AllUnited States · 4India · 3Israel · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior Machine Learning Engineer
Rubrik is seeking a Senior Machine Learning Engineer to join their SAGE team, focusing on building and productionizing "LLM-as-judge" systems for real-time AI agent governance and remediation. The role involves end-to-end model lifecycle management, including data curation, training small models, serving them at production latency, and closing the feedback loop with customer signals. The team emphasizes shipping models to enterprise customers quickly and proving the efficacy of small, specialized models over larger frontier models for AI safety and governance.
Post-trainServeEngineeringPalo Alto, CAyesterday9
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-trainAgentResearchIsraelJan 298