Rubrik
ScalingEnterprise · Data security & backup
Currently tracking 6 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $135k–$263k (avg $197k).
Hiring
6 / 6
Momentum (4w)
↑+5 +16%
36 opens last 4w · 31 prior 4w
Salary range · avg $197k
$135k–$263k
USD · disclosed roles only
Tracked since
Feb 17
last role today
Hiring velocityscroll left for older weeks
Jobs (14)
| Title | Stage | AI score |
|---|---|---|
| Software Engineer - Ruby AI Software Engineer to build AI agents for Rubrik's AI-powered assistant, Ruby, which helps enterprise customers manage and protect data through natural language. The role involves designing and building agents, integrating tools, handling evaluation, and ensuring production observability, shipping to thousands of customers. | Agent | 8 |
| Senior Manager, Platform Engineering Senior Manager, Platform Engineering for the Enterprise AI team, leading the India engineering hub. The role involves owning AI platform development, connector builds, tools rollout, and global support operations, with a focus on enabling AI agents and ensuring cross-site alignment. | AgentServe | 7 |
| Staff Product Manager, Rubrik Security Cloud AI Platform Staff Product Manager to own the AI Platform that powers the Rubrik Security Cloud control plane. This role involves designing the system for AI agents to make decisions, act safely, and scale, focusing on the infrastructure layer including governance, guardrails, permissions, multi-tool orchestration, failure handling, memory management, and cost containment. | Agent | 7 |
| Senior Information Security Engineer – Data Senior Information Security Engineer role focused on bridging Security Operations and Data Engineering, managing SIEM and contributing to a Security Data Lake. The role involves integrating AI tools and LLMs to automate SecOps tasks like incident investigation and response, leveraging Python and cloud data warehousing (Snowflake, BigQuery, Databricks) in a multi-cloud environment. | AgentData | 7 |
| Application Security Engineer Application Security Engineer responsible for integrating security controls into the SDLC, architecting agentic scaffolding for AI agents performing vulnerability triage and remediation, and performing security assessments. The role emphasizes building scalable security operations through AI agents and automating vulnerability discovery and remediation. | Agent | 7 |
| Senior Software Engineer - Enterprise AI Senior Software Engineer role focused on building and operating the platform and backend systems for Rubrik's internal Enterprise AI team. This involves owning core infrastructure like Kubernetes and cloud-native services, designing distributed systems, and integrating with agentic AI tools to improve efficiency across the organization. | Agent | 5 |
| Product Manager, Performance & Sizing Product Manager for Rubrik's Platforms Team, focusing on workload sizing roadmap. This role involves managing a tactical backlog for sizing inputs and a strategic roadmap leveraging AI for self-service sizing and predictive guidance. The primary customer is the Sales Engineering community, with a focus on understanding their pain points and improving tool experiences. | Agent | 5 |
| Senior Software Engineer - Enterprise AI Senior Software Engineer role focused on building and operating the platform and backend systems for Rubrik's internal Enterprise AI team. This involves owning core infrastructure like Kubernetes and cloud-native services, designing distributed systems, and integrating with agentic AI tools to improve efficiency across the organization. | Agent | 5 |
| Staff Software Developer - Enterprise AI Staff Software Developer for the Enterprise AI team, focusing on building and operating the platform and backend systems that power AI workflows at Rubrik. This role involves owning core infrastructure, designing distributed services, and integrating with AI tooling. | Agent | 5 |
| Staff Software Developer - Enterprise AI Staff Software Developer for the Enterprise AI team, focusing on building and operating the platform and backend systems that power AI workflows at Rubrik. This role involves owning core infrastructure, designing distributed services, and integrating with AI tooling. | Agent | 5 |
| Staff Product Manager Product Manager for Rubrik's Identity Resilience team, focusing on AI-native product development using agentic workflows for identity protection, remediation, and recovery. The role involves driving strategy, roadmap, and execution for core identity resilience capabilities, ensuring operational continuity, security, and compliance for customer identity providers and infrastructure. | Agent | 5 |
| Senior Integration & Automation Engineer Senior Integration & Automation Engineer responsible for designing, building, and governing secure, scalable APIs and integrations between enterprise platforms and third-party systems. The role will embed AI capabilities (LLMs, decisioning services, intelligent workflows) into APIs and business processes, defining API-first, AI-aware integration patterns and standards. Leverages MuleSoft Anypoint Platform (or similar iPaaS) and works closely with stakeholders to ensure security, reliability, and observability. | Agent | 5 |
| Enterprise Architect, Global IT Enterprise Architect role focused on the intersection of IT Enterprise Applications, Integrations, Automations, Data, Cloud, AI, and Security with Information Security policies and Risk control frameworks. The role involves defining IT technical vision and strategy, evaluating emerging technologies like AI, establishing architectural governance, and providing technical direction for complex programs. Experience with GenAI, cloud-native architectures, and cybersecurity is required, with a focus on enabling AI agent deployments at scale, including guardrails and fine-tuning. | Agent | 5 |
| Principal Engineer -Dev Platform(Developer Experience) Principal Engineer role focused on defining and executing the technical strategy for Developer Platform, aiming to improve developer experience and core engineering productivity by leveraging AI/ML in core developer workflows and accelerating AI agent deployments. | Agent | 5 |