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our companys unique email security solution uses cutting-edge AI, machine learning, and generative AI to secure cloud email and collaboration applications. Built on the acquisition of Avanan, its already recognized as a market leader by Forrester, Gartner, and G2.
We have a strong technical differentiation over our competitors a unique architecture and detection technology that consistently outperforms other solutions. This, combined with our recognition as a market leader, puts us in a position to take over the email security market.
With over 55,000 customers worldwide, including many of the largest global enterprises, were rapidly growing and redefining how organizations protect their communication systems.
The company Email Security organization operates like a startup with full autonomy, rapid delivery (~5 major features per month), and the backing, reach, and expertise of a global cybersecurity leader. Were now expanding our Product Management team to drive our next wave of innovation.
Key Responsibilities
Work with customers, MSPs and other stakeholders, internal and external, to understand what will make our product great.
Take a significant part in defining the product roadmap and be responsible for executing it.
Generate KPIs and strong analytics of how our users experience our solution.
Deep technical research into Microsoft, Google and other email delivery solutions to expand our differentiation in the market.
Nurture mutually beneficial relationships with Microsoft and Google Product Management and R&D.
Work closely with the R&D team and UX designer, deliver the requirements, and follow up on them until rollout.
Master our competitors solutions and find ways to expand our differentiation.

As a Red Team Specialist focused on Generative AI Models, you will play a critical role in enhancing the security and integrity of our cutting-edge AI technologies. Your primary responsibility will be to conduct analysis and testing of our generative AI systems, including but not limited to language models, image generation models, and any related infrastructure. Your objective is to help clients secure their AI models and frameworks by identifying weaknesses, assessing risks, and providing clear steps for improvement.
Key Responsibilities:
* Simulated Cyber Attacks: Conduct sophisticated and comprehensive simulated attacks on generative AI models and their operating environments to uncover vulnerabilities.
* Vulnerability Assessment: Evaluate the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
* Risk Analysis: Perform thorough risk analysis to determine the impact of identified vulnerabilities and prioritize mitigation efforts.
* Mitigation Strategies: Collaborate with development and security teams to develop effective strategies to mitigate identified risks and enhance model resilience.
* Research and Innovation: Stay abreast of the latest trends and developments in AI security, ethical hacking, and cyber threats. Apply innovative testing methodologies to ensure cutting-edge security practices.
* Documentation and Reporting: Maintain detailed documentation of all red team activities, findings, and recommendations. Prepare and present reports to senior management and relevant stakeholders.


About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

We are looking for a DevOps Engineer.
Our department is responsible for the backbone of the entire development process and infrastructure. We design, implement, and maintain the processes, methodologies, and technologies that allow and support the development of platform while upholding high standards of quality, performance, security, availability, and agility.
What youll be doing:
Develop and maintain CI/CD pipelines
Design, implement, and maintain cloud infrastructure
Minimize reliability and security-related risks
Perform Infrastructure performance analysis and optimization
Design and build tools for monitoring, testing, and diagnosis of systems
Actively support and work closely with the development team

Join the forward-thinking CloudGuard AI Security team, where youll collaborate with leading architects and engineers to design, build, and secure next-generation AI-enabled public cloud environments.
As a Data Scientist, you will not only build and refine machine learning models and analyze large-scale datasets but also take an active part in the coding effort and in developing production-grade components that power CloudGuards AI Security products.
Key Responsibilities
Develop AI Security Insights Leverage advanced statistical and machine learning techniques to detect threats, anomalies, or vulnerabilities in AI-driven cloud environments.
Build, Code & Optimize ML Solutions Design, implement, and optimize ML and LLM-based models using clean, maintainable, and efficient code; integrate them into CloudGuards product pipelines to ensure scalability and reliability.
End-to-End Product Development Collaborate with backend and DevOps engineers to deploy, monitor, and scale ML components within microservices and cloud infrastructure.
Data Exploration & Feature Engineering Conduct deep dives into complex datasets from various sources, transforming raw data into actionable features for robust model development.
Continuous Learning & Adapting Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors; adapt existing models and pipelines accordingly.
Cross-Functional Collaboration Work closely with other data scientists, product architects, software engineers, and security experts to translate business needs into production-ready, data-driven solutions.

We are looking for a passionate Software Developer to join one of our most exciting and innovative products in the world of Security Automation and AI Infinity Playblocks.
This is an amazing opportunity to be part of a cutting-edge cloud platform that helps customers automate, orchestrate, and secure their environments - and to help shape it from its early stages.
Youll join a leading team developing both the backend and frontend of a state-of-the-art SaaS application, working in an agile, fast-paced environment and collaborating closely with product, design, and data teams.
If youre passionate about technology, eager to innovate in the AI and automation space, and love turning ideas into impact - wed love to have you on board!
Key Responsibilities
End-to-end backend and frontend development of a new cloud product in the field of Security Automation and AI.
Lead all stages of the development cycle from requirements to production while developing multi-tenant, high-scale, efficient, and secure code.
Be part of a growing, leading team working with state-of-the-art cloud and web technologies, including microservices architecture.
Collaborate closely with cross-functional teams and customers to solve complex problems and innovate new features.
Propose solutions for complex technical challenges.

our company Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of external cyber security threats with one unified solution.
We are looking for a Cyber Threat Intelligence Analyst to be an integral part of our Intelligence teams, combining both cutting-edge technology and advanced threat intelligence analysis methodologies to deliver high-impact briefings to our customers.
Key Responsibilities
Learning the customer needs and PIRs, configuring their tailored environments in the ERM intelligence platform and supporting the customers with tuning/training throughout engagement
Monitoring and analyzing threats targeting customers, or issues in their digital exposure, in order to produce actionable intelligence alerts and reports.
Investigating intelligence sources, threat actors, attack tools and techniques
Identifying and developing ERM data sources to collect the most relevant intelligence (darknet, forums, social media, marketplaces, etc.) as well as creating and maintaining avatars on these.
Developing the proprietary intelligence platform by surfacing new modules, capabilities and features
Joining meetings with prospects and clients to present deliverables.
Drive cooperation & feedback loops with other ERM teams.

Were looking for a Senior AI Security Architect to join our GenAI Protect Core Platform team - leading the design of our companys next-generation AI Security architecture.
Youll define the foundation for secure, scalable, and trustworthy AI systems that power real-time protection across GenAI and data-driven environments.
Key Responsibilities
Define the end-to-end AI architecture, from agent telemetry to inference and protection enforcement.
Design APIs and interfaces connecting agents, management, and GenAI services.
Partner with threat research and product teams to turn protection intent into ML-driven capabilities.
Establish best practices for AI safety, privacy, and secure design.
Review designs across all product teams (Windows, Mac, Backend, GenAI).
Mentor senior engineers and lead design reviews for high-impact systems.

Were looking for a Data Engineer to join our team and help shape a modern, scalable data platform. Youll work with cutting-edge AWS technologies, Spark, and Iceberg to build pipelines that keep our data reliable, discoverable, and ready for analytics.
Whats the Job?
Design and maintain scalable data pipelines on AWS (EMR, S3, Glue, Iceberg).
Transform raw, semi-structured data into analytics-ready datasets using Spark.
Automate schema management, validation, and quality checks.
Optimize performance and costs with smart partitioning, tuning, and monitoring.
Research and evaluate new technologies, proposing solutions that improve scalability and efficiency.
Plan and execute complex data projects with foresight and attention to long-term maintainability.
Collaborate with engineers, analysts, and stakeholders to deliver trusted data for reporting and dashboards.
Contribute to CI/CD practices, testing, and automation.

Were looking for an experienced Senior Mac Agent Tech Lead to join our GenAI Protect Core Platform team building the foundation of our companys next-generation AI Security platform.
Youll design and evolve deep OS-integrated protection technology that enables real-time, intent-aware defense for modern AI and data-driven environments.
AI Security, Redefined: Develop protection logic and system instrumentation that safeguard the new generation of GenAI workloads.
Engineering at Depth: Work close to the OS and hardware layers, delivering low-latency, resilient protection services.
Cross-Disciplinary Impact: Collaborate with AI, backend, and data platform teams to make protection autonomous, adaptive, and intelligent.
Trusted Scale: Operate with startup speed and creativity, backed by our companys global leadership in cybersecurity.
Key Responsibilities
Lead development of macOS agent components proxy, MCP, kernel/system extensions, and installers.
Design advanced telemetry and behavioral hooks to support AI-driven insights.
Ensure parity and interoperability with the Windows agent platform.
Implement anti-tampering and secure communication layers.
Set architectural standards and mentor engineers across cross-platform efforts.