דרושים » תוכנה » Security Researcher

we are looking for a Security Researcher to join our core R&D team and help build the next generation of cloud runtime protection.
In this role, you'll research vulnerabilities, attack techniques, and emerging threats, turning your findings into real product capabilities through clean, efficient code. You'll work on low-level systems, offensive security research, and help develop the technologies that protect enterprise cloud environments.
If you're passionate about building security products that make a real impact, we'd love to hear from you!

Responsibilities
Research emerging attack techniques, vulnerabilities, and adversary behaviors.
Design and develop new security capabilities to identify sophisticated threats.
Perform reverse engineering and in-depth analysis of malware, exploits, and attack techniques.
Collaborate closely with Product and Engineering teams to translate research into product capabilities.
Build research tools, prototypes, and automation to support security investigations.
Research emerging threats and translate relevant findings into new product capabilities.
Improve detection quality by analyzing false positives, false negatives, and attacker behavior.
Contribute to technical discussions, knowledge sharing, and security best practices across the company.

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.

As a Product Security Researcher , you will dive deep into the security landscape of modern browsers, operating systems, and enterprise applications to discover novel vulnerabilities, evaluate real-world threat scenarios, and help shape our security posture through innovation and hands-on research. You will be instrumental in driving advanced security initiatives that help maintain position at the cutting edge of secure enterprise computing.

Key Responsibilities:

Vulnerability Research: Identify and analyze vulnerabilities in browser components, system integrations, and third-party libraries relevant to the Enterprise Browser.
Security Testing & Tooling: Develop custom tooling and automation for security testing, fuzzing, and vulnerability detection tailored to our product stack.
Threat Modeling: Collaborate with developers, architects, and the Product Security Lead to assess threat scenarios and attack surfaces for new features and integrations.
Exploit Prototyping: Build proof-of-concepts to validate the impact and exploitability of discovered security issues.
Collaboration & Knowledge Sharing: Support development teams in secure coding practices, and contribute to internal knowledge bases and playbooks.
Security Research Enablement: Stay ahead of the curve by tracking current exploits, security trends, and techniques; attend or present at security conferences and engage with the broader security community.

We're looking for an AI Security Researcher to join us and uncover emerging AI threats, derive detection logic, discover new attack vectors, conduct red teaming, and identify insider threats and misconfigurations.
What You'll Do:
Deep-dive into AI usage risks, including threat detection for chat platforms and AI agents.
Research emerging agent threats and LLM attacks, such as jailbreaks and prompt injection.
Conduct red teaming and large-scale experiments on AI agents, including quantitative experimentation and advanced result analysis.
Assess internal and externally-facing AI agents for security posture and risk exposure.
Evaluate and attack real-time defenses and runtime protections for AI applications.
Conduct research across cloud, web, and API security to uncover novel threats and attack vectors relevant to AI systems.
Partner with product and engineering teams to turn research findings into detection logic, guardrails, or product features.
Stay current on and contribute to industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) - potentially contributing back to the community.
Publish blog posts, give talks, and represent research at conferences.

we are seeking a Senior Security Researcher to join our highly technical product research team working at the core of our security products.
This is a rare opportunity to join an elite security research team and do work that directly shapes our AI and Cloud products. Your research will span cloud infrastructure, AI systems, emerging platforms, and modern architectures.
You will perform novel security research, inform product direction, and contribute to our company's thought leadership in cloud and AI security.
We are looking for an exceptional security researcher who thrives on variety and can quickly develop expertise in new areas.
Your Role:
Drive research direction across multiple domains including cloud security, AI security, and emerging threat landscapes.
Perform novel security research to uncover new attack vectors, and adversary techniques across cloud and AI systems.
Translate research findings into actionable product capabilities, detection logic, and risk prioritization guidance.
Stay current with evolving threats across cloud platforms and AIecosystems, identifying where our company should invest next.
Write and speak about security research to strengthen our company's voice in cloud and AI security.
Collaborate with product and engineering teams to translate research into shipped capabilities.

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity
As a Backend Engineer, you will design, build, and scale the core backend systems that power our security platform-directly shaping the safety of millions of Web3 users. Youll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.
Your Chain of Impact:
Lead feature development end-to-end, from requirements to production.
Build systems that protect millions of users from fraud, scams, and hacks.
Contribute across the full software development lifecycle in an agile environment.
Drive technical innovation by staying ahead of emerging technologies.
Uphold the highest standards of code quality, scalability, and performance.
Take true ownership of our product, tech stack, and development processes.

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity
As a Backend Engineer, you will design, build, and scale the core backend systems that power our security platform-directly shaping the safety of millions of Web3 users. Youll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.
Your Chain of Impact:
Lead feature development end-to-end, from requirements to production.
Build systems that protect millions of users from fraud, scams, and hacks.
Contribute across the full software development lifecycle in an agile environment.
Drive technical innovation by staying ahead of emerging technologies.
Uphold the highest standards of code quality, scalability, and performance.
Take true ownership of our product, tech stack, and development processes.

As a Product Security Low-Level Researcher , you will focus on deep technical research across operating systems, kernels, drivers, and low-level system components that underpin modern enterprise computing. You will investigate complex attack surfaces, uncover subtle and high-impact vulnerabilities, and translate cutting-edge research into practical security improvements for platform. This role emphasizes deep systems knowledge, hands-on experimentation, and original research that pushes beyond application-layer security.



Key Responsibilities:

Low-Level Vulnerability Research: Research and discover vulnerabilities in operating system kernels, drivers, system services, virtualization layers, and low-level system components relevant to execution and trust boundaries.
Kernel & OS Internals Analysis: Analyze kernel subsystems (memory management, scheduling, IPC, filesystems, networking) and OS security primitives to identify design flaws, logic bugs, and exploitation opportunities.
Exploit Development & Validation: Develop proof-of-concept exploits for kernel- and driver-level issues to validate impact, assess exploitability, and inform mitigation strategies.
Security Testing & Tooling: Design and build custom tooling for kernel fuzzing, syscall/interface testing, driver analysis, and low-level instrumentation across supported platforms.
Cryptography & Trust Mechanisms: Assess the implementation and usage of cryptographic primitives, key management, secure boot, attestation, and hardware-backed security features, identifying weaknesses or misuse patterns.
Threat Modeling at the System Level: Collaborate with architects, platform engineers, and the Product Security Lead to model threats across privilege boundaries, boot chains, isolation mechanisms, and OS-level integrations.
Research Enablement & Knowledge Sharing: Track emerging exploitation techniques, kernel research, and advanced persistent threat tradecraft; contribute findings to internal playbooks, design guidance, and long-term security strategy.

We are looking for an individual who thrives on unraveling the intricacies of computing environments and attackers' techniques, ultimately providing our customers with cutting-edge tools to elevate their security posture. This role involves conducting both low-level and high-level research on security vulnerabilities, security tools, and the intersection of the two, leveraging various telemetries.
WHAT YOU WILL DO

Collaborate with engineering and product teams to enhance the efficiency and effectiveness of our existing detection engine.

Design and implement new features within our detection and correlation engine to address emerging cyber threats.

Conduct in-depth research on threats and vulnerabilities. Utilize this knowledge to innovate and develop cutting-edge security solutions.

Utilize research insights to innovate and develop cutting-edge security solutions with a focus on security controls and the way they mitigate risk.

As an AI Security Researcher , you will play a key role in shaping the future of modern runtime AI security. You will investigate how real-world attacks unfold across AI-enabled applications, agents, tools, executed in cloud environments, and turn those insights into innovative, production-grade security capabilities across our AI Security Posture Management (AI-SPM) and AI Detection & Response (AI-DR) products.

This role is ideal for a deeply technical researcher who is driven to understand AI attacks at their core - not just identify suspicious prompts or surface-level indicators. You will research how prompt injection, tool misuse, agent drift, model abuse, and other emerging AI attack techniques translate into real runtime behavior and security impact. You will then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work in production.

Specifically, you will:

Research real-world attacks targeting models, agents, MCP/tooling ecosystems, RAG applications, and AI-enabled production systems.
Drive research end-to-end - explore, design, develop, validate, and deploy detection logic and protections based on runtime telemetry, exploit PoCs, technical analysis, and threat intelligence.
Shape AI-SPM capabilities by identifying what telemetry, signals, and modeling are required to continuously discover AI components, classify AI behavior, map risk, and detect unsafe or anomalous usage in production.
Shape AI-DR capabilities by researching how to detect AI-driven attacks, prove runtime impact, establish causality, and distinguish failed attempts from real compromise.
Work closely with engineering and product teams to turn deep technical research into practical security capabilities that deliver clear customer value.