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לפני 4 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
were the company.
were building the future of product security. our mission is to enable both humans and ai to build secure-by-design software, at scale, without slowing innovation.
were backed by $36m from team8, notable capital, and svci, and trusted by multiple fortune 500 companies.
but funding and logos dont define us. people do.
our about us page offers a real look at our culture, our values, and the people behind the product.
this is where you come in.
were looking for a security researcher to join our research team and drive cybersecurity research at the intersection of product security and ai. you'll investigate security risks in modern software development, including ai-assisted and agentic workflows, and translate research into product capabilities, customer guidance, and industry insights.
what youll do
conduct deep technical research across codebases, architectures, integrations, data flows, permissions, and agentic workflows to identify product security risks that traditional scanners often miss.
investigate how ai coding agents, llm-based workflows, and ai-assisted engineering practices change the way security risks are introduced, missed, prioritized, and remediated.
turn research into useful outputs, including product recommendations, customer-facing guidance, technical writeups, evaluation ideas, talks, and internal briefs.
maintain and evolve the company's threat-pattern corpus, security context modules, and research-backed detection logic.
work with product and engineering to translate findings into shipped capabilities, evals, onboarding materials, and go-to-market narratives.
what were looking for
strong application or product security expertise, with the ability to reason across code, architecture, product behavior, and business context.
a track record of owning research end-to-end: defining questions, doing deep technical work, forming a point of view, and producing useful artifacts.
strong threat modeling judgment, with experience using frameworks such as owasp, stride, or similar methodologies to identify and assess common appsec risks.
heavy hands-on use of ai coding agents, llm-based development workflows, or ai-assisted software engineering tools in real-world engineering/research environments.
strong communication skills, curiosity, independence, and the ability to turn research into outcomes that influence product, engineering, customers, or the market.
if this role excites you - even if you dont check every box - wed love to hear from you.
This position is open to all candidates.
 
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08/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
About GeoEdge GeoEdge is the global leader in ad security, trusted by hundreds of the world's top ad platforms, publishers, and app developers. Our mission: make the internet safer by stopping malicious, deceptive, and low-quality ads before they ever reach a user. For over a decade, we've protected the integrity of the digital advertising ecosystem with real-time technology that empowers our partners to deliver clean, trustworthy user experiences. The Role Malvertising attackers are already using AI to hide their campaigns. We're building the detection technology that beats them, and we need a leader who can make it the best in the world. As our Head of Security & Research, you'll report directly to the CEO and own GeoEdge's 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 GeoEdge's 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
Requirements:
What You Bring 8+ years in security, including 3+ in leadership A proven research track record: publications, CVEs, conference talks, or technical papers Hands-on expertise in AI and agentic systems, with experience applying LLMs, machine learning, and AI agents to real security problems Deep understanding of how attackers evade detection, including cloaking, obfuscation, and adversarial use of AI Strong background in web security and web technologies (JavaScript, browsers, HTTP/HTTPS) Experience in threat research, malware analysis, or detection engineering Ability to translate complex research into business impact for executives and customers Excellent English; BSc in Computer Science or equivalent experience Advantages Experience building or shipping AI-powered or agentic security products Experience in AdTech, digital advertising, or malvertising research Background in a cybersecurity product company Experience building or leading a security research team Alumni of technological or military intelligence units
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
join us, a cybersecurity startup building the next generation of vulnerability management and exposure management.
were looking for a senior ai researcher (cybersecurity) to join our founding team and build ai-powered product capabilities that enable unprecedented effectiveness in vulnerability and asset management.
in this role, youll work hands-on with large-scale security data (assets, vulnerabilities, exposure context) and design production-grade ai systems that turn messy, complex information into clear, actionable insights.
own the end-to-end ai lifecycle: from feature ideation and initial research, through data exploration and model development, to delivering reliable, production-grade capabilities. validate solutions in controlled testing and continuously monitor, evaluate, and improve performance in production.
if you love combining real security problems with applied data science and ai-driven problem solving, and want to have real impact in a rapidly evolving product, wed love to meet you.
#li-dnp.
Requirements:
academic background: b.sc. in an engineering or quantitative scientific field, with coursework or focus in data science, Machine Learning, or information systems (or equivalent experience).
experience: 5+ years of hands-on experience in applied ai research, data engineering, data science, or applied ml - ideally with security-related domains.
strong Python & data pipelines: proven ability to build robust pipelines that handle large-scale, real-world data.
llm systems in production: experience building and shipping real product features powered by llms, taking solutions from prototype to production, owning reliability through evaluation and monitoring.
cybersecurity domain knowledge: familiarity with core security concepts, including asset inventory and context, vulnerability management and risk prioritization, exposure/attack-surface analysis, network and traffic analysis, and practical remediation workflows in collaboration with security teams.
experiments & workflow design: experience designing and running experiments and building reproducible end-to-end data workflows to validate new product features and iterate based on measurable results.
problem solving skills: strong analytical and critical-thinking skills, with the ability to break down ambiguous problems, apply sound algorithmic reasoning, and develop creative, pragmatic solutions.
startup mindset: high ownership, strong collaboration, and the ability to execute quickly and effectively in a fast-paced, evolving environment.
advantage
experience working with security datasets and real-world enterprise environments.
experience building structured extraction and normalization systems using llms.
strong product intuition: ability to turn ai capabilities into features users trust and rely on.
experience designing ai monitoring systems (quality drift, and evaluation pipelines).
This position is open to all candidates.
 
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07/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
BSc./MSc. in Computer Science, Security, or equivalent military/industry experience.

4+ years of security research (AppSec, malware, adversarial AI, or platform security). Experience with Agentic AI security research is an advantage.

Hands-on experience working with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of agentic capabilities such as MCP servers, Skills, hooks, and similar agent tooling.

Experience with AI systems, agent frameworks, or protocol security (e.g., LangChain, MCP, A2A) is a strong plus.

Proficiency in Python for prototyping, research tooling, and detection logic; familiarity with TypeScript or Go is a plus for collaborating with engineering.

Strong grasp of cloud, SaaS, and endpoint security models, especially identity and data access.

Demonstrated ability to transform research into productized runtime detections.

Self-driven, curious, and eager to define the next frontier of enterprise security.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by us, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified.
This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums.
Responsibilities:
Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends
Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence
Explore large-scale datasets using SQL and other data analysis methods to generate research insights
Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production
Research how attackers use AI and how AI can improve threat detection, investigation, and response
Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights
Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions
Collaborate with product, data, engineering, and research teams to improve detections and product intelligence
Independently lead research initiatives from idea and data exploration to publication and presentation.
Travel internationally for company events and cybersecurity conferences at least six times per year.
Requirements:
At least 5 years of hands-on experience in cybersecurity, threat intelligence, security research, or security analysis
Strong understanding of the cybersecurity threat landscape, including threat actors, malware, phishing, C&C, exploitation, cloud threats, and attacker behavior
Proven experience in threat intelligence research, including IOCs, TTPs, MITRE ATT&CK, campaign tracking, and threat actor profiling
Strong data exploration skills, with practical experience using SQL to analyze large-scale security datasets
Experience using AI tools, AI coding assistants, and agentic workflows for research, automation, and data analysis
Ability to build scripts, internal tools, or agentic systems to support threat research and intelligence workflows
Strong technical writing skills, with experience publishing blogs, reports, whitepapers, or public research
Strong presentation skills, with the ability to represent the company at conferences and external events
Self-learner with high curiosity, strong ownership, and the ability to manage complex research independently
Ability to collaborate effectively with cross-functional teams, including product, engineering, and data teams
Fluent English with excellent written and verbal communication skills
Willingness to travel abroad for conferences, customer events, and company events at least six times per year
Advantageous:
Experience researching AI threats, LLM abuse, AI-assisted attacks, or AI-powered detection
Experience building agentic systems, automation frameworks, or AI-based research workflows
Background in engineering, backend systems, data infrastructure, or security platform development
Experience with data warehouses, BI tools, notebooks, or large-scale telemetry analysis
Experience with XDR, MDR, SIEM, EDR, NDR, SASE, or cloud security products
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Deep, hands-on application security experience at an engineering level: someone who sits with dev teams, understands development processes from the inside, and reviews code and architectures as a peer (Must)
At least 1 year of dedicated, immersive work in AI security: research, experimentation, or offensive engagements targeting AI/ML systems (Must)
Offensive security capabilities with a focus on AI-specific attack vectors (Must)
Strong understanding of AI/ML technologies, including LLMs, agentic systems, and common AI application architectures
Development skills: comfortable reading and writing code, building tools, and understanding codebases
Excellent communication skills and comfort working directly with enterprise customers
Fluent English
Nice to have:
Published research or public talks on AI security topics
Experience with traditional penetration testing or red teaming
Background in building or deploying AI/ML systems from the development side.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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12/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented Cloud Security Researcher to join our team in Israel. In this role, you will focus on hands-on research of cloud security risks, analyze misconfigurations, and translate findings into impactful product capabilities.

You will work closely with Research, Engineering, and Product teams to ensure that your research directly contributes to securing cloud environments at scale. This is a highly technical role suited for someone who enjoys deep diving into cloud systems, understanding how things work, and helping build solutions that prevent it.

Responsibilities
Conduct cloud security research focusing on misconfigurations, IAM risks, and cloud attacks.
Investigate real-world attack vectors and security gaps in cloud environments.
Design and prototype preventative security mechanisms and controls.
Translate research insights into product features, policies, and detection capabilities.
Work with Solution Engineering and occasionally customers to understand real-world use cases and validate findings.
Analyze complex cloud architectures and identify scalable security improvements.
Take ownership of research tasks from exploration to delivery.
Contribute to internal knowledge sharing and cloud security best practices.
Requirements:
Requirements
3-5+ years of experience in cloud security, security research, or cybersecurity roles.
Strong background in security domains such as Application Security, Network Security, Web Security, or IAM/Permissions.
Hands-on experience researching and identifying cloud security risks.
Familiarity with at least one major cloud platform
Experience or strong interest in cloud governance and preventative security approaches.
Strong analytical and problem-solving skills with attention to detail.
Ability to work cross-functionally with engineering and product teams.
Good communication skills and ability to explain technical findings clearly.
Startup mindset, ownership, and ability to work in a fast-paced environment.


Nice to Have
Experience working with customers or in technical/customer-facing roles.
Background in Solution Engineering.
This position is open to all candidates.
 
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07/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a talented AI Security Researcher to join our team and play a critical role in our company's foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.
Responsibilities
Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities.
Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it).
Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.
Requirements:
5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.)
Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry.
Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact.
Preferred qualifications
Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise.
Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research.
Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings.
Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g., Product, Engineering, Marketing) to achieve shared goals.
This position is open to all candidates.
 
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15/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
5+ years of experience in security research, vulnerability research, detection engineering, threat detection engineer, or a related technical security role.
Strong understanding of modern application attack techniques, including the ability to analyze vulnerabilities and exploitation flows.
Deep expertise in Linux internals.
High degree of ownership and ability to independently navigate ambiguous technical problem spaces and turn them into structured research plans and actionable outcomes.
Experience designing and conducting hands-on technical research, including investigations, experiments, and PoC development.
Strong programming skills for code analysis, research tooling, and building proof-of-concepts and vulnerable test applications.
Strong communication and teamwork skills, with a collaborative approach to problem-solving across teams.
Data analysis skills and hands-on experience working with databases.
This position is open to all candidates.
 
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08/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
You will lead security research. This is not a bug hunting role. Your job is to invent the approaches that become product capabilities: new ways to detect, triage, and remediate vulnerabilities using LLMs and program analysis, proven on real data before a customer ever sees them.

You own the path from idea to shipped capability. You form the hypothesis, build the proof of concept, measure whether it actually works, and partner with engineering until it is in the product. You also own the quality bar: the benchmarks and evaluations that decide whether what we ship is good enough to put in front of customers.

You will set the research agenda, not just execute one. As the team grows, you will shape how research works here.

What You'll Own

The research agenda. Identify where new approaches can meaningfully beat the state of the art in vulnerability detection, triage, and remediation, then decide what we pursue and what we kill. No one hands you a backlog.

Approaches that ship. Build proofs of concept for new detection and remediation techniques, validate them against real world code and data, and carry the winners through to production with engineering. You are accountable for ideas becoming product, not staying research.

The quality bar. Design the datasets, benchmarks, and evaluation pipelines that measure precision, coverage, and false positive rates. Nothing reaches customers past a bar you have not signed off on, and if quality slips, you catch it first.

Vulnerability depth. Deep research into modern attack vectors across cloud (AWS/GCP), containers, microservices, APIs, AI generated code, and LLM applications. Not just how vulnerabilities are found, but how they are born, how they are fixed, and how a whole class gets eliminated.

The data foundation. The internal corpus of vulnerabilities, exploit patterns, and remediation strategies the platform learns from. Its depth and correctness are yours.

Our research voice. What we publish, where we speak, and the credibility the company earns in the security community. Your work should be visible.
דרישות:
What We're Looking For
Experience. 8+ years in security research, vulnerability analysis, or applied security engineering.

Startup DNA. You have worked in an early stage or 0 to 1 environment. Comfortable with ambiguity, shipping without a big org behind you, and changing direction when the data says so. This is a requirement, not a bonus.

Research to product track record. You have turned research into things that shipped: features, tools, detections in production. Not just papers or reports.

Technical depth. Deep expertise in modern application stacks (microservices, containers, cloud platforms). You understand how these systems actually break.

Builder skills. Strong programming ability in at least one modern language (Python, Go, TypeScript). Comfortable writing production quality code.

Data rigor. Experience designing experiments, building datasets or benchmarks, and measuring quality quantitatively. You do not ship on vibes.

LLM fluency. Hands on experience applying LLMs to real problems, whether evaluation, prompting, fine tuning, or agentic systems, or a demonstrated ability to get there fast.

Proven findings. A history of discovering serious vulnerabilities (CVEs welcome) and responsible disclosure.

Communication. You can explain a complex attack and its real impact clearly to engineers, executives, and customers.

Work authorization. Permanent authorization to work in the US for the San Francisco role, or in Israel for the Israel role.

Bonus Points
We care about impact, not credentials. Things that get our attention:

Research that went public and mattered. Publications, disclosures, or talks that changed how people think about a problem, not just filled a slot at a conference.

A product you built at a startup. Something that shipped, that real users depended on, where you can point at your fingerprints.#ENGLISH המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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לפני 22 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
We're looking for a Threat Security Researcher to join our Threats team at the intersection of security research, AI, and product. You'll own detection research across runtime, cloud, network, identity, code, while actively shaping how AI capabilities are applied to solve real security problems at scale.
Conduct deep technical research into modern cloud environments and AI systems and discover novel attack techniques.
Lead product initiatives in the threats domain from inception to production. Collaborate closely with product, backend, and GTM, translating research into product capabilities.
Define and create complex detection logic over our vast telemetry, with a focus on coverage that scales across customer environments.
Identify gaps in detection coverage and evaluate detection quality. ensuring security logic is reliable and impactful.
Stay up to date with the evolving threat landscape (threat intelligence, campaigns) and incorporate into our product
Contribute to PR presence - technical research content, talks, open-source tooling.
Requirements:
5+ years of experience in threat research, including threat hunting, incident response or detection engineering
Military background experience, university degree, or Ex-CNAPP
Curious, detail-oriented mindset with proven ability to self-learn complex topics and new mechanisms.
Hands-on skills with scripting languages (e.g., Python) as well as query languages (e.g., KQL
Ability to work independently and also across teams, in a dynamic, fast-moving, demanding environment
Strong written and verbal communication skills in English, with the ability to explain complex security concepts clearly to both technical and non-technical audiences.
Advantages
Experience in AI Security Research
An AI-native mindset, you've built or applied AI-powered tooling in a security context
Experience conducting data-driven research and working with large-scale telemetry.
Experience in public-facing work, such as presenting at recognized industry conferences or authoring technical blog posts
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8894363
סגור
שירות זה פתוח ללקוחות VIP בלבד