דרושים » מחשבים ורשתות » endpoint research & protection team leader

at the company, what you do matters. every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and ai-driven threats, securing their ai transformation.
our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and ai systems, stopping attacks before they happen.
this is where innovation meets real-world impact. youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
were proud to be recognized by time, newsweek, and forbes for excellence and workplace culture.
what really sets the company apart is the opportunity to grow, contribute, and help companies navigate their ai transformation securely.
if youre excited to work at the forefront of ai-driven security on a global scale, this is the place to do it.
the company's secure os group is responsible for designing, developing, upgrading, and maintaining gaia os - the company's Linux -based os.
we are looking for a team leader who can lead such a team, research new technologies, navigate through an unfamiliar code, analyze the behavior of complex environments, and set a high standard when providing improvements and sophisticated solutions for the company's customers.
if you have a passion for Linux Kernel and innovation - we are looking for you!
as os- Kernel team leader, you will manage and take an active part in all of the assignments which are commonly handled by the group, such as:
lead os Kernel features, installation process, boot sequence, file system and packages
work closely with other r&d groups to provide os-related solutions
develop tailored features for specific customers
find and resolve security vulnerabilities in the company os

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. The Role
Malvertising attackers hide their campaigns behind cloaking, obfuscation and, more and more, AI. As a Senior Security Researcher in our Security Research Lab, you'll hunt those campaigns down, figure out how they work, and turn what you find into detection that runs in real time across billions of ad impressions. You'll work with a small, hands-on research team and partner closely with R&D and data Science, and your findings will reach customers and the wider security community. What You'll Do Hunt for and investigate new malvertising campaigns, scams and evasion techniques across the ad supply chain Reverse-engineer malicious ad creatives, JavaScript and landing pages to understand how they target users and avoid detection Turn research findings into detection logic, signatures and data signals, working with R&D and data Science to ship them to production Build tools and automation, including LLM- and agent-based workflows, that speed up research and threat hunting Track attacker infrastructure and campaigns over time, and measure the precision and coverage of our detections Write threat reports and blog posts, and help present GeoEdge research externally Support Customer Success on escalations with technical analysis of specific incidents

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

Were looking for Principal Cloud Security Researcher with a strong security background to join our innovative Research team.

EDR protects the endpoint. our company protects everything else, anticipating and disrupting active attacks across the modern stack and stopping them before they reach the business.

our company is the leader in Zero-Impact Breach Prevention, delivered through Agentic Runtime Security for the modern infrastructure - cloud, SaaS, identity, and AI. By delivering the runtime detection and response that security teams already rely on for endpoints, extended to the infrastructure endpoint tools cant see, our company provides Zero-Impact Breach Prevention, in runtime.

The Role

We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.

You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.



What You'll Do

Drive Groundbreaking Research

Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team

Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

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 VP Security & Research, you'll report directly to the CEO and own our 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 us 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 us for customers, partners, and the wider security community.

What You'll Do
Set the strategy and roadmap for our 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 us 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.

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.

at the company, were reinventing devsecops to help the worlds greatest companies innovate. our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. we are a special place with a unique combination of brilliance, spirit, and just all-around great people. thousands of customers, including the majority of the fortune 100, trust the company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. wouldn't it be amazing if you could join us on our journey?
as an offensive security engineer, you will spearhead the company's offensive security operations and lead advanced threat research initiatives, playing a pivotal role in safeguarding our organization and customers from evolving cyber threats. you will develop and execute red team exercises, simulate real-world attacks, and identify security weaknesses in the company's systems and applications. we seek a highly skilled, proactive tech leader who thrives in challenging environments and is passionate about advancing security research and offensive strategies.
as an offensive security engineer, you will
lead, plan, design, and execute red team operations, threat modeling, and adversarial simulations against the company's infrastructure and cloud environments.
drive threat research and intelligence initiatives to stay ahead of emerging cyber threats, attack techniques, and vulnerabilities.
develop and execute advanced attack scenarios to assess security defenses and provide actionable recommendations for improving the company's security posture.
collaborate closely with security engineering, DevOps, and software development teams to implement findings and enhance our defenses.
lead the development of tooling, frameworks, and methodologies to automate and optimize red team exercises.
mentor and guide a team of security professionals, fostering a culture of innovation, collaboration, and continuous learning.
participate in incident responses when red team exercises reveal vulnerabilities, providing expertise on attack techniques, forensics, and post-attack mitigation.
continuously assess and improve security processes, playbooks, and threat detection mechanisms.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
we are seeking a applied science team lead to manage a team of applied scientists within the company's core product organization, building and deploying next-generation ai models powering real-world cybersecurity use cases across our diverse product portfolio (posture, detection, and cti). the role centers on building and scaling intelligent systems powered by llms, advanced ml techniques, and agent-based architectures.
you will lead a team within the company's cyber r&d organization, owning the company's core product portfolio while driving ai innovation and setting best practices across the domain. the group focuses on developing next-generation technologies, including training and optimizing llms and building advanced multi-agent workflows, while mentoring data scientists across r&d.
this is a hands-on leadership role. as a key technical leader, you will guide the evolution of our ai capabilities, converting cutting-edge ideas into impactful, production-ready systems, growing your team, and shaping our long-term direction.
lead, mentor, and grow a team of applied scientists, setting technical direction and fostering a culture of excellence and continuous learning.
design and build advanced ai models and systems that power the company's core products and address real-world cybersecurity challenges.
own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
influence the organization's roadmap and contribute to long-term technical strategy across the company's ai and product landscape.
5+ years of experience as an applied researcher with proven production-level impact.
proven experience leading, training, and developing applied scientists or data scientists.
hands-on technical leader who remains deeply involved in research, modeling, and code.
phd in Computer Science, mathematics, statistics, or engineering preferred; master's degree required.
experience in applied research, including work with transformers, open-source llms, or other advanced deep learning architectures.
strong programming skills in Python, with hands-on experience in modern ml frameworks and tooling.
excellent problem-solving skills and a strong experimental mindset.
strong communication skills and the ability to collaborate effectively across teams.
high curiosity and a passion for learning new technologies, methods, and domains.
hands-on experience training large language models, including supervised fine-tuning (sft) and reinforcement learning (rl).
if you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, wed love to hear from you!

Mesh Payments is looking for a hands-on Security & IT leader to serve as the foundational pillar of our internal technology and security operations. In this unique role, you will be the sole owner of our IT infrastructure while playing a critical part in protecting a fast-growing, cloud-native fintech platform.
In this position, you will have the autonomy to choose the best tools for the job, manage our corporate environment from the ground up, and have a direct impact on protecting the financial data of global enterprises while ensuring our team has the best technical tools to succeed.
What youll do:
IT Operations & Employee Experience
Youll work closely with the CTO, engineering, and business teams, combining hands-on execution with real ownership and impact.
Manage corporate SaaS platforms, identity management (SSO), and Google Workspace.
Compliance & audits (SOC2, PCI)
Acting as the security point of contact for customers, auditors, and internal teams
Act as the primary technical point of contact for all employees, providing hands-on support and troubleshooting.
Deploy and operate endpoint security and management tools (EDR, MDM, DLP) across a distributed workforce.
Cloud & Infrastructure Security

Improve and maintain the security posture of our AWS/GCP-based cloud infrastructure.
Operate cloud security platforms, such as Upwind / Wiz / Oligo, or similar solutions to prioritize and remediate risks.
Design and enforce secure access controls and least-privilege IAM policies.
Investigate cloud security alerts and support incident response.
Application Security
Integrate security into the SDLC and CI/CD pipelines by automating SAST, SCA, and secret scanning.
Secure containerized workloads (Kubernetes / EKS) focusing on runtime protection and image hardening.
Provide guidelines and safeguards for AI-powered development processes and AI models within our SaaS platform.
Compliance & Security Culture
Support SOC2 and PCI DSS compliance initiatives and audit readiness.
Serve as the primary security focal point for external auditors.
Contribute to security awareness and best practices across the company, explaining the rationale behind security requirements.

We are looking for a hands-on security researcher who combines an attacker mindset, fraud-domain curiosity, strong technical depth, and data analysis skills. You will investigate real-world fraud patterns, reproduce attacker techniques, analyze telemetry, enrich our data collection capabilities, discover new security signals, and work closely with product, data, and engineering teams to turn research insights into production-grade detection and prevention mechanisms.

This role is especially relevant for researchers with experience in browser technologies, mobile-native applications, or both. You may work on desktop and mobile browsers, browser APIs, browser automation, client-side signals, native mobile applications, Android/iOS behavior, mobile security, emulators, device signals, and mobile automation.

You will help expand our visibility into new signals and patterns that improve fraud detection, model performance, and customer protection.

If you are a talented researcher who enjoys solving complex problems, working with messy real-world data, and building practical defenses against modern fraud and abuse, we want you to join our team.



What youll do:

Research emerging fraud and abuse techniques across account takeover, bots, automation, phishing, social engineering, device spoofing, emulators, remote access tools, suspicious network infrastructure, and related attack vectors.
Identify, design, and validate new data collection opportunities, security signals, behavioral patterns, device indicators, browser indicators, and mobile app indicators.
Analyze real-world telemetry, customer-provided labels, behavioral signals, device signals, network indicators, and attack patterns to identify detection opportunities.
Reproduce attacker techniques in lab and production-like environments, generate telemetry, identify detection gaps, and translate findings into detection logic.
Design, validate, and tune detection and prevention mechanisms with attention to coverage, explainability, false positives, customer impact, and production stability.
Build research infrastructure, analysis workflows, and internal tools using Python.
Produce robust data features that can later be used by machine learning models, detection logic, rules, dashboards, and customer-facing insights.
Work with model training pipelines, evaluate model behavior, compare training and validation results, and help determine whether new features improve detection quality.
Collaborate closely with data science, engineering and product, teams to take ideas from research hypothesis through validation, implementation, monitoring, and production feedback.
Stay up to date with fraud trends, attacker tooling, automation frameworks, browser abuse techniques, mobile abuse techniques, malware behavior, phishing techniques, and underground ecosystem developments.
Communicate findings clearly to technical and non-technical stakeholders, including recommended actions, tradeoffs, expected impact, and model/detection quality considerations.