Staff AI Secuirty Researcher

SentinelOne
Tel Aviv-Yafo +1 more
On-site

Who this role is best for

A natural match if you have advanced offensive research experience in AI security and a track record of publishing in adversarial ML.

Best fit for

  • Candidates with 6+ years in offensive research and a focus on AI security risks
    — “6+ years of experience in offensive research, red teaming or pentesting, with focus on AppSec or Identity”
  • Individuals with a strong background in adversarial ML and agentic attack methodologies
    — “Hands-on experience with adversarial techniques against AI (LLMs, SLMs) and ML systems”
  • Researchers who have demonstrated ability to translate findings into product capabilities
    — “Partner with engineering and product teams to translate research findings into our Agentic Detection and Response offering”

Things to consider

  • This role may require a long-term commitment to research and technical leadership
    — “Mentor other researchers and engineers and help grow the team's technical capabilities”
  • Candidates must be prepared to publish research externally and engage with the academic community
    — “Publish research findings internally and externally through papers, blog posts, or industry conferences”

How to stand out

  • Highlight your experience with AI-specific attack vectors like prompt injection and jailbreaking
    — “Conduct advanced research to identify vulnerabilities within AI (LLMs, SLMs) models”
  • Emphasize your familiarity with AI security taxonomies such as OWASP Top 10 for LLMs
    — “Familiarity with agentic attack taxonomies such as OWASP Top 10 for LLMs and MITRE ATLAS”
  • Showcase your ability to develop automated tools for large-scale AI security testing
    — “Innovate and design novel methodologies and automated tools to systematically and continuously probe AI security mechanisms at scale”
  • Demonstrate leadership in cross-functional projects and technical mentorship
    — “Experience in leading cross-functional technical initiatives - advantage”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • conduct advanced research to identify vulnerabilities within AI models
  • build threat models for emerging AI capabilities
  • translate research findings into security mechanisms
Typical background
6+ years of experience in offensive research, red teaming or pentestinghands-on experience with adversarial techniques against AI and ML systems

Skills & requirements

Required

AI Security ResearchVulnerability IdentificationAdversarial TechniquesAI SystemsPrompt InjectionJailbreakingData ExfiltrationMisuse VectorsThreat ModelingAutomated ToolsAgentic Detection And Response

Preferred

Ai-native PlatformAutonomous Detection And ResponseReal-time AnalyticsIntelligent AutomationUnified Data Foundation

Stack & domain

AI SecurityAdversarial MLPrompt InjectionJailbreakingData ExfiltrationMisuse VectorsThreat ModelingIdentity/access ManagementAgentic SystemsMultimodal SystemsAgentic Detection And ResponseResearchInnovationCollaborationMentorshipTechnical ExpertiseCommunicationAttention To DetailCybersecurityAI SystemsLlmsSlmsML Systems

About the role

Original posting from SentinelOne

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Staff AI Security Researcher, you will be tasked with leading efforts identifying and understanding security risks unique to AI systems. Investigate demonstrate attacks - prompt injections, jailbreaks, data leakage, agentic workflow hijacking and architecture/ecosystem flaws (plugins, connectors, MCPs, skills). Translate findings into detections and safeguards, and help build our agentic detection and response capabilities from the ground up.

What Will You Do?

Primary responsibilities include: 

Conduct advanced research to identify vulnerabilities within AI (LLMs, SLMs) models, agentic systems and their infrastructure, including prompt injection, jailbreaking, data exfiltration, and misuse vectors.

Build threat models for emerging AI capabilities and deployment surfaces (agents, tool use, multimodal systems).

Innovate and design novel methodologies and automated tools to systematically and continuously probe AI security mechanisms at scale.

Partner with engineering and product teams to translate research findings into our Agentic Detection and Response offering.

Stay informed on the latest academic, industry and threat landscape trends on adversarial ML, agentic and AI security.

Mentor other researchers and engineers and help grow the team's technical capabilities.

Publish research findings internally and externally through papers, blog posts, or industry conferences.

What Skills and Knowledge Will You Bring?

Ideal candidates will have: 

6+ years of experience in offensive research, red teaming or pentesting, with focus on AppSec or Identity.

Hands-on experience with adversarial techniques against AI (LLMs, SLMs) and ML systems - prompt injection, jailbreaking, membership inference, model extraction, data poisoning, etc.

Good understanding of identity/access management (IAM) protocols and tools.

Familiarity with agentic attack taxonomies such as OWASP Top 10 for LLMs and MITRE ATLAS.

Proficiency in programming and scripting languages (Python, JavaScript and Java) and Cloud environments (AWS, GCP, Azure, Kubernetes).

Technical writing & content development skills.

Publication record or demonstrable body of work in security research, adversarial ML, or AI safety (papers, disclosed vulnerabilities, open-source tools, etc.) - advantage.

Experience in leading cross-functional technical initiatives - advantage.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

Restricted Stock Units (RSUs)

Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

Competitive leave benefits

Gender-neutral parental leave

Employee Assistant Program

Workout sessions and a Wellness App

Insurance & Financial Security

Medical and insurance benefits

Pension

Employee Assistance Program (EAP)

Work Perks & Flexibility

Global home office allowance

Mobile phone reimbursement

Study Fund 

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles. 

Source: SentinelOne careers

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