דרושים » אבטחת מידע וסייבר » AI Cyber Security Manager

Operational LeadershipThe Deputy CISO will play a critical leadership role within the Global Cybersecurity Organization, acting as the operational right hand to the Group CISO. This position drives the day-to-day execution of the security strategy across a worldwide telecommunications footprint, ensuring the resilience, integrity, and security of all network, IT, and cloud environments.
This is a hands-on leadership role ideal for someone deeply experienced with cybersecurity architectures, operational security, and enterprise-scale security solutions.
Key Responsibilities
Leverage the company Security Operations Team (CyberDefense), including SOC, Threat Detection & Response, Incident Response, Vulnerability Management, and Security Engineering.
Own daily operational security performance, ensuring 24/7 protection across a distributed, high-availability telco environment
Translate the CISO's strategic objectives into executable operational plans and measurable KPIs
Oversee the CyberTrust team activity focused on compliance and security awareness.
Security Architecture & Solutions
Oversee the design, deployment, and lifecycle management of critical security technologies (e.g., SIEM, SOAR, EDR/XDR, IAM/PAM, network security, cloud security platforms)
Evaluate and integrate new security solutions, with strong focus on scalability, automation, and alignment with telco-grade performance requirements
Ensure technical standards, reference architectures, and hardening guidelines are maintained and adopted globally.
Risk & Compliance
Ensure operational compliance with international standards and regulations (e.g., ISO 27001, NIS2, GDPR, telecom regulatory frameworks)
Lead technical risk identification, quantification, and mitigation activities across infrastructure, applications, and services
Oversee security audits, penetration tests, and red-team scenarios, ensuring findings are remediated promptly.
Incident Response & Crisis Management
Serve as the technical lead during major security incidents, coordinating cross-functional teams, external partners, and executive communication
Maintain and continuously improve global incident response playbooks and readiness programs.
Cross-Functional Collaboration
Act as the bridge between strategic security leadership and operational teams across all regions
Work closely with Network Engineering, Cloud, IT, Product, and Managed Services teams to embed security into designs and operations
Engage with external partners, MSSPs, vendors, and regulatory agencies as required
Work closely with our company Group CTO and Platforms Director to ensure strategic alignment and secure implementations.

Systems Development Engineering (SDE) at our company is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We dont just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know its hard to control what you cant measure - so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of our company systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.
our company brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.
Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of our company-scale services. Come build things that matter.
The Managed Services Technology team plays a vital role in the Managed Threat Defense service delivery life-cycle. We are responsible for provisioning Security Operations (SecOps) and third-party security technology. This role focuses on deploying and integrating customer security technologies.
In this role, you will collaborate with enterprise clients, customers, internal stakeholders, and cross-functional teams to quickly and accurately provision and integrate SecOps and other customer-managed security technologies.
Part of our company Cloud, Mandiant is a recognized leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant's cybersecurity expertise has earned the trust of security professionals and company executives around the world. Our unique combination of renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone.
Responsibilities
Oversee the security technology provisioning lifecycle for new and existing customers.
Develop technical implementation plans based on customer expectations and shared information.
Facilitate project management and technical support during onboarding. Collaborate closely with customers and internal teams.
Collaborate with customers to triage and implement remediations and recommendations.
Document all implementation details and collaboration meeting notes in the internal tracking system.

We seek a dedicated and proactive Senior SecOps Engineer to join our InfoSec team and take ownership of all security-related tasks across the organization. In this role, you will be key in aligning security goals with infrastructure, R&D and IT requirements. You will be responsible for integrating security into our CI/CD pipelines, managing cloud infrastructure security, ensuring compliance with security standards, and protecting our infrastructure from vulnerabilities.

A day in the life and how youll make an impact:

Implement and manage security tools such as static code analysis, cloud posture monitoring, and penetration testing tools.
Embed security into the DevOps lifecycle, including CI/CD pipelines, IaC (Infrastructure as Code), and software development workflows.
Design and enforce security policies for cloud architecture, ensuring secure configurations and monitoring.
Lead incident response activities, vulnerability management, and forensic investigations to mitigate threats.
Drive compliance efforts (ISO 27001, SOC 2, GDPR, etc.) and audit readiness for the organization.
Work closely with stakeholders (CISO, COO, System Architects, DevOps, IT, Finance, HR, etc) to identify requirements and prioritize security needs.
Continuously monitor systems and infrastructure for vulnerabilities, intrusions, and misconfiguration.
Perform or manage penetration testing initiatives to identify security weaknesses.

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.

We are looking for an exceptional Senior AI Researcher to join our fast-growing company during a pivotal stage of market expansion. In this role, you'll lead groundbreaking research in SOC automation, develop industry-defining benchmarks, create innovative prototypes that transform into product features, and establish thought leadership through conferences and publications. If you're passionate about revolutionizing security operations through AI and excited about shaping industry standards, we'd love to hear from you!
What Will You Do?
Lead research initiatives that redefine SOC automation capabilities, creating industry benchmarks and evaluation frameworks for AI in security operations
Design and develop functional prototypes that demonstrate breakthrough concepts, transitioning research into product features with engineering teams
Collaborate with security researchers, Product Marketing, and the Head of AI to analyze competitors and align research priorities with commercial objectives
Present findings at premier conferences (BlackHat, RSA) and publish tools/content that advance security automation and establish thought leadership
Mentor engineering teams on advanced AI techniques and their practical applications in security contexts.

Our data science team is seeking a highly skilled AI researcher with expertise in modern AI methods (e.g., multi-agent architectures, reinforcement learning on LLMs) and a passion for transforming theoretical challenges into real-world products.
In this role, you will leverage our unique clinical datasets to design and build groundbreaking solutions that provide medical benefits to millions of people. You will take full end-to-end ownership of your models - from ideation and research to production deployment and ongoing monitoring.
Working across both research and production environments, you should have proven experience in developing and deploying machine learning algorithms, along with strong interpersonal and collaboration skills. We value independent thinkers who are also proactive doers.

What Youll Be Doing:
Develop clinical AI models to support Ks clinic workflows, with a focus on patient-facing applications
Design and implement scalable, efficient pipelines for data preprocessing, information extraction, and model training
Stay up to date with the latest AI research and best practices, and translate them into production-ready solutions
Communicate complex technical concepts and solutions to non-technical stakeholders
Collaborate with MLE and AI engineering teams to deploy scalable, robust solutions

We are seeking a talented and experienced team manager to head our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, team mentoring, defining the technological strategy, and driving innovation in the field of AI Agents.

Key Responsibilities
As the Data Science Team Lead for Risk, you will be responsible for:

Technological and Strategic Leadership: Defining and implementing the Data Science strategy for the Risk domain, while identifying critical business and technological opportunities.
Hands-on Development: Actively working on the development, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud.
Team Management and Mentoring: Managing and guiding a team of talented Data Scientists, including work planning, professional development, providing mentorship, and contributing to talent acquisition.
AI Agents Innovation: Leading the team's efforts in the field of AI Agents within Risk, including architectural design, developing complex Agent Workflows, advanced Prompt Engineering, and developing rigorous Evaluation methodologies to ensure reliability and accuracy in production.
Cross-Functional Collaboration: Managing strategic relationships and collaborations with Engineering, Product Managers, Analysts, and other stakeholders to ensure solutions meet critical business needs.
Production Deployment: Ensuring Data Science solutions transition reliably, scalably, and efficiently from concept to production and making significant impact.

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.
The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.
What Youll Do
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce our company Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

As the Technical Director for Reactive Services, you will serve as a senior-level consultant and client advocate, providing expert guidance on all facets of cybersecurity and data breach response. You will deliver strategic and technical leadership to a diverse range of clients, helping them navigate complex security incidents. Your expertise will be critical in shaping response strategies and ensuring clients effectively mitigate and recover from cyber threats.
Key Responsibilities
Provide expert-level strategic and technical guidance to clients during active data breach response and cybersecurity incidents.
Lead complex client engagements from initial scoping and resource allocation through to technical execution and final reporting.
Apply deep knowledge of forensic processes, including chain of custody, and advanced computer and memory acquisition techniques.
Utilize industry-standard forensics tools (e.g., EnCase, FTK, SleuthKit, Volatility) for in-depth analysis across major operating systems.
Challenge curiously by maintaining hyper-current knowledge of the threat landscape, emerging vulnerabilities, and attacker TTPs to inform response strategies.
Conduct detailed analysis of malware, identify persistence mechanisms, and triage threats to determine root cause and impact.
Proactively collaborate with internal teams and client stakeholders, ensuring alignment and communicating clear, actionable findings.
Develop and automate scripts and processes to simplify and enhance the efficiency of incident response scenarios.

We are looking for a Head of Security.
In this role, you will be responsible for defining and executing our security strategy across infrastructure, applications, and corporate environments.
Youll establish and enforce security best practices, proactively monitor and respond to threats, and ensure compliance with relevant regulations and standards. You will also work cross-functionally with Engineering, Legal and Finance to embed security into everything we do. With us scaling rapidly, youll be making a critical impact from day one.