דרושים » אבטחת מידע וסייבר » Senior Security Researcher

Were looking for a Security Vulnerability Researcher to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.


This is a hands-on role for a seasoned offensive researcher who thrives on technical depth and creativity. Youll collaborate closely with product, marketing, and engineering teams to deliver research that drives customer trust, informs product direction, and shapes industry thought leadership.

What Youll Do
Perform AI-Focused Vulnerability Research: Investigate security risks in AI models, APIs, and infrastructure to uncover exploitable weaknesses and publish insights that strengthen our market leadership.
Lead Red Teaming Against AI Systems: Simulate adversarial attacks on AI pipelines and APIs, creating impactful PoCs that showcase real-world risk and defensive strategies.
Build Customer-Facing Proof-of-Concepts: Partner with product and engineering teams to design and deliver PoCs that align with customer use cases and highlight our security capabilities.

Required Senior Security Researcher
Description
About us
We are building autonomous AI hackers that think like the world's best offensive security experts, act like them, and then help fix what they find before the real ones do. If this mission speaks to you, come defend the world's software: autonomously, continuously, and in-depth.
About the role:
This is a rare opportunity to work at the intersection of offensive security and AI - and to have your expertise shape a platform used at enterprise scale. As an Security Researcher, you will push the boundaries of what autonomous agents can achieve.
Your goal is to conduct cutting-edge research into novel attack vectors and vulnerabilities, using those insights to both sharpen our AI and lead the industry conversation on AI-driven security. Youll work alongside a tight-knit team building excellent software in the security space.
Responsibilites
Original Research: Develop new attack strategies and offensive testing techniques for web, network and AI targets, and translate real-world knowledge into improvements for the AI agent
Thought Leadership: Produce high-quality technical content, including research papers, stage demonstrations, or technical blog posts that showcase our unique capabilities and security philosophy.
Public Advocacy: Represent our research at major security conferences and industry events.
AI Enhancement: Part of the team improving the AI hacker to make it more dangerous and creative.
Collaboration: Work closely with AI and engineering teams to continuously improve agent capabilities and ensure research findings are integrated into the product.

We're looking for an experienced Application Security Researcher to help customers maximize the value of our AI-powered offensive security platform.

In this role, you'll work hands-on with customer environments, validate security findings, investigate complex application vulnerabilities, and help organizations understand, reproduce, and remediate the risks identified by our platform.

You'll collaborate closely with customers, Product, Engineering, AI Research, and Customer Success teams, providing valuable feedback that continuously improves the platform while serving as a trusted technical advisor throughout the customer journey, from complex deployments to production investigations.

This is an ideal role for someone with a strong offensive security background who enjoys combining technical research with customer interaction and wants to help shape the future of AI-driven application security.

Responsibilities
Validate vulnerabilities discovered by our AI platform and provide clear technical evidence of successful exploitation.
Perform hands-on testing of modern web applications and APIs to verify findings and identify additional attack paths.
Analyze complex application security issues, including authentication, authorization, business logic flaws, and API vulnerabilities.
Help customers understand security findings, reproduce vulnerabilities, assess risk, and implement remediation recommendations.
Investigate cases where the platform missed, misclassified, or incorrectly assessed vulnerabilities and provide actionable feedback to Product and Engineering teams.
Collaborate closely with AI Research and Engineering teams to improve detection accuracy, attack coverage, and platform capabilities.
Develop new attack methodologies and validation techniques for modern web applications.
Stay current on emerging application security trends, offensive techniques, and modern attack methodologies.
Support customers during complex deployments, integrations, and production troubleshooting, including BYOM deployments and connectivity to internal applications.

Were looking for an experienced Vulnerability Researcher to help us uncover how modern AI tools, agents, and enterprise environments can be abused - and turn those findings into impactful security research.
This role combines deep technical research with real industry impact.
Youll investigate emerging attack techniques, build proof-of-concepts, publish research the security community cares about, and help shape how our company protects customers.
Were looking for someone who loves understanding how things work, thinks creatively like an attacker, and knows how to turn technical findings into research people actually want to read and talk about.
What Youll Do
Research vulnerabilities and attack techniques across AI tools, endpoints, browsers, MCP servers, extensions, and enterprise environments
Investigate real-world threats, CVEs, supply-chain attacks, and AI-related security risks
Build proof-of-concepts and demonstrations of new attack paths
Publish technical research, blog posts, and security content
Work closely with Product and Engineering to improve our companys detection and prevention capabilities
Help position our company as a leading company in AI security research
Explore new technologies and identify risks before they become mainstream.

As a Security Researcher , you will play a key role in shaping the future of modern runtime and AI security. You will investigate how real-world attacks unfold across applications and cloud environments, and turn those insights into innovative, production-grade security capabilities.

This role is ideal for a deeply technical researcher who is driven to understand attacks at their core - not just identify surface-level indicators. You will research exploitation chains, runtime behavior, attacker techniques, and emerging AI attack patterns, then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work.

Specifically, you will:

Research real-world attack techniques targeting modern applications, cloud-native environments, and AI-driven systems.
Design, develop, validate, and deploy detection algorithms based on technical research, large-scale runtime telemetry, threat intelligence, and exploit PoCs.
Shape the strategy for detection data collection by defining the required telemetry, collection points, and data quality standards needed to support effective protection.
Drive research efforts end-to-end, from initial exploration and technical investigation to production-grade protection capabilities for active threats.
Work closely with engineering and product teams to turn research into practical security capabilities.

We're looking for an AI Security Researcher with a strong AppSec foundation. At the core, this is a deeply technical application security role at an engineering level. You'll sit with development teams, get involved in their processes, understand how software is actually built, and bring a security perspective from the inside. You'll enhance traditional AppSec with agentic tools and security layers, working directly with enterprise customers on hands-on engagements. On top of that defensive foundation, you'll layer AI-specific offensive capabilities: researching and executing attacks against AI/ML systems.
This is a unique opportunity to combine strong AppSec fundamentals with cutting-edge AI red teaming and agentic consulting, with a clear growth path as a researcher.
Roles and Responsibilities:
Conduct deep, engineering-level application security work: review architectures, assess code, and embed with development teams as a technical peer throughout the development lifecycle
Lead AI-focused security assessments and red team engagements for enterprise customers, identifying vulnerabilities in AI/ML systems, agentic workflows, and LLM-based applications
Enhance traditional AppSec processes with agentic tools and AI security layers
Research and develop novel attack techniques targeting AI/ML systems, including prompt injection, model manipulation, and agentic framework exploits
Translate offensive findings into actionable security recommendations for customers and internal teams
Stay at the forefront of AI security: continuously research emerging attack surfaces and contribute to the growing body of AI threat knowledge.

As our VP Security & Research, you'll report directly to the CEO and own malvertising detection vision, combining deep security research with AI and agentic innovation. You'll lead our security research team, uncover new attack techniques before they reach users, and turn that insight into detection that works in real time at massive scale. You'll build a research agenda that puts GeoEdge on the stage at the world's top security conferences, and partner with Product, R&D, data Science, Customer Support, and other key functions inside and outside the company to bring it to market. You'll be the security and research voice of GeoEdge for customers, partners, and the wider security community. What You'll Do
* Set the strategy and roadmap for malvertising detection and security research
* Lead, mentor, and grow the security research team
* Drive AI and agentic innovation in detection, working with R&D and data Science to turn research into production-grade capabilities
* Uncover and track emerging malvertising threats, evasion techniques, and attacker campaigns across the ad ecosystem
* Own detection quality: push for uncompromising precision, coverage, and speed
* Drive original research and publications, and represent GeoEdge at leading security conferences
* Partner with Product, R&D, data Science, Customer Support, and other key functions in the organization and outside of it
* Report to the CEO and management on research impact, threat landscape, and priorities

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen our detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.


Responsibilities
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance our runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.

We are looking for an exceptional Senior Product Manager to join our AI Security group and play a key role in shaping the future of AI Security As a Product Manager, you will drive product strategy, define innovative security capabilities, and work closely with engineering, security researchers, and customers to build solutions that help organizations securely embrace the AI era.

Responsibilities:
Identify emerging challenges, opportunities, and customer requirements related to AI Security, AI applications, AI agents, and data protection.
Define and drive product strategy for AI Security initiatives across platform.
Break down strategic product goals into actionable plans and lead execution across engineering, research, design, and go-to-market teams.
Define product requirements and oversee the implementation of new AI Security capabilities and services.
Conduct market research, competitive analysis, and customer discovery to understand evolving AI Security threats, trends, and customer needs.
Work closely with customers, partners, and internal stakeholders to validate problems, prioritize opportunities, and shape product direction.
Analyze product performance, user behavior, and customer feedback to continuously improve product effectiveness and business impact.
Collaborate closely with world-class engineering and security teams to bring innovative AI Security solutions to market.
Drive cross-functional initiatives involving Product, R&D, Security Research, Sales, Marketing, and executive leadership.

We are seeking an AI Security Researcher to join Dashs core research team. Youll investigate how AI agents - spanning coding agents, SaaS AI platforms, cloud, and endpoints - can be abused, and design detections that stop threats before they cause impact. Each platform is different, yet they share common risk patterns across prompts, tools, MCP servers, skills, hooks, identity, and data movement. Your mission is to master both: uncovering unique attack surfaces while building universal, session- and intent-aware defenses. This role combines deep platform research, responsible security testing, and close collaboration with engineering to translate findings into production runtime protection. You will help define the field of Agentic Security.

Responsibilities

Research agentic threats: Prompt injection, tool/plugin/MCP abuse, skill and hook misuse, rogue autonomy, identity misuse, data leakage, adversarial AI, and protocol exploitation across coding agents and enterprise AI platforms.

Develop runtime detections: Design detections for multiple environments (coding agents, SaaS AI, cloud, endpoints), leveraging platform hooks, APIs, telemetry, and native guardrails where available.

Analyze platform complexities: Deep-dive into architectures, permissions, workflows, and agent capabilities (MCP servers, Skills, plugins, extensions) while extracting cross-platform risk patterns.

Build scalable detection logic: Prototype and refine heuristics, signatures, and intent-aware detectors that hold up at enterprise scale with low friction for builders.

Investigate monitoring and enforcement boundaries: Push what platforms allow for visibility and control - hooks, plugins, configuration surfaces, inventory signals, and policy enforcement points.

Prototype PoCs: Validate attack paths end to end, then turn findings into production-ready signatures, heuristics, detectors, and runtime policies.

Collaborate with engineering: Embed research into Dashs detection pipelines, session-aware runtime protection, and policy/governance modules.

Stay ahead of the field: Track adversarial AI and agent security research, continuously evolving Dashs detection and enforcement coverage.