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we are looking for a Senior NLP Researcher.
:Responsibilities
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.

we are seeking a skilled and adaptable Solution Architect to lead deep technical engagements during both pre-sales and post-sales phases. You will ensure seamless deployment, resolve complex technical issues, and deliver long-term value to customers through AI-powered cybersecurity platform.
This role also includes ownership of lab environments to simulate customer use cases, validate solutions, and support internal testing and demos-making it a key technical bridge between Product, Engineering, and Customer Success.
:Responsibilities
Build and maintain strong relationships with customers, serving as a trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including R&D and Product, to align customer feedback with roadmap priorities and platform improvements.
Lead the technical aspects of Proof of Concepts (PoCs) and guide customers through pre-deployment readiness.
Drive post-sales success by resolving complex issues, optimizing deployments, and identifying opportunities to improve security posture.
Deliver technical enablement and training sessions for customer teams to ensure strong adoption and platform fluency.
Stay informed on the latest in cybersecurity, infrastructure, AI, and cloud technologies to continuously elevate customer outcomes.
Lab Environment Ownership: Responsible for designing, maintaining, and automating lab environments that simulate real world customer deployments to test product features, validate integrations, demonstrate the platform, and support cross-functional testing and customer issue replication.

We are on an expedition to find Technical Delivery Engineer, someone who is passionate about creating intuitive, out-of-this-world In this role, you will lead end-to-end implementation and deployment projects of platform in customer environments, working hands-on with AI on-prem and hybrid infrastructures.
Youll collaborate closely with Product, Architecture, and R&D teams, while serving as a trusted technical partner for customers and senior stakeholders. From planning and execution to troubleshooting and continuous improvement, you will own the full delivery lifecycle and ensure every deployment is reliable, seamless, and impactful.
:Responsibilities
Lead end-to-end project delivery in close collaboration with Product, Architecture, R&D, and Solutions teams, as well as customer executives and senior stakeholders.
Plan, coordinate, and execute complex on-premises deployment projects.
Take a hands-on role in deploying platform within customer environments.
Serve as the technical escalation point for issues related to product deployment and implementation.
Develop, maintain, and continuously improve project delivery processes and knowledge-sharing practices.
Communicate project status, milestones, risks, and dependencies clearly to internal teams and customer stakeholders, ensuring transparency and alignment throughout the delivery lifecycle.

We are looking for a Technical Presale Engineer with a strong technical orientation in cyber security and networking.
The ideal candidate has 2-4 years of customer-facing experience (e.g., presales, solutionarchitects, technical account managers, training, or consulting), and a willingness to travel.
The role is ideal for people who combine strong technical knowledge with an energetic attitude and the ability to build strong client relationships.
:Responsibilities
We are looking for a Technical Presale Engineer with a strong technical orientation in
cyber security and networking. The ideal candidate has 2-4 years of customer-facing experience (e.g., presales, solutionarchitects, technical account managers, training, or consulting), and a willingness to travel.
The role is ideal for people who combine strong technical knowledge with an energetic attitude and the ability to build strong client relationships.
You will help execute technical presales processes and contribute as a trusted client advisor, ensuring successful solution delivery and long-term customer satisfaction.
We work in a high-paced environment, with frequently changing priorities. Hence a high degree of flexibility and adaptability is required.

Were looking for a hands-on AI Cyber Intelligence Engineer - in the domain of network attack surface. Someone who lives and breathes network security, loves exploring how attackers move through real environments, and is excited to shape how AI can automate and extend that process.
In this role, youll analzse real-world environments, identify potential attack vectors, and work closely with our AI engineering teams to translate your domain expertise into actionable, intelligent workflows. Youll play a key role in guiding how our platform learns to think and act like a top-tier security analyst.
:Responsibilities
Analyse complex network environments, configurations, and security controls to map topologies and identify weaknesses or lateral movement paths.
Research and model attacker behaviour and detection strategies, guiding how AI systems reason about threat scenarios.
Collaborate with AI engineers to shape agentic flows - defining the logic, prompts, and reasoning patterns that replicate expert investigative thinking.
Conduct hands-on assessments of enterprise networks to validate and improve automated detection and response capabilities.
Stay current on evolving attack tactics, network security technologies, and AI-driven threat detection trends.
Act as a security subject matter expert for cross-functional engineering teams.

We are seeking an experienced, visionary Cyber Research Team Lead to guide and grow a multidisciplinary cyber research team. You will lead a group of domain experts - from network engineers and identity specialists, to red-teamers, protocol researchers, penetration testers, data analysts and cloud/virtualization experts - working collaboratively to build our next-gen AI-based posture management platform. As team lead, you will both manage the team and shape the research agenda: coordinating cross-domain investigations, defining priorities, mentoring researchers, and ensuring that research output feeds directly into scalable, intelligent workflows and product capabilities.
If youre passionate about cyber research, enjoy nurturing technical talent, and thrive on building complex, multi-domain security products - this is your chance to build and lead a research team that defines how AI defends modern enterprise infrastructure.
:Responsibilities
Lead, mentor, and coordinate a diverse, multi-domain cyber research team.
Define and drive the teams research agenda, establishing multi-domain security research priorities aligned with company goals and product roadmap.
Translate research findings into actionable AI-based deliverables - such as automated workflows and agentic flows integrated into the AI-based posture management product.
Coordinate and work in multidisciplinary squads to build customer facing product, ensuring real-world relevance and impact.
Maintain research excellence and innovation culture - encourage internal knowledge-sharing, code/tool reuse, and continuous learning.
Recruit, grow, and manage talent -identify skill gaps, hire new researchers, mentor researchers, and foster a collaborative, high-performance team environment.
Stay current with emerging cyber threats, infrastructure trends (cloud, virtualization, identity systems), adversarial techniques and AI-driven security trends - and evolve research strategies accordingly.

We are seeking an experienced DevOps Team Leader to lead our DevOps team as part of our Platform Engineering group. As a DevOps Team Leader, you will be responsible for overseeing the design, development, and deployment of our sophisticated DevOps solutions across cloud and on-premises environments. This role involves leading a team of DevOps engineers, driving best practices in code, architecture, and infrastructure management while ensuring high availability and optimal performance of our services.
:Responsibilities
Lead and mentor a team of DevOps engineers in building and maintaining the best solutions for our production platform.
Champion an 'Everything as Code' approach: manage our infrastructure using a wide range of technologies including Ansible, Terraform, and Kubernetes.
Oversee the creation and maintenance of tools for automation, deployment, monitoring, and operations.
Drive troubleshooting and resolution of issues in our development, production, and test environments.
Foster a culture of excellent communication, collaboration, and innovation within the team.
Ensure continuous professional development and upskilling of team members to keep pace with technological advancements.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building Sensor.
This team owns the entire endpoint agent, which is the backbone of collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
: Responsibilities
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
:Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

In this role, you'll be responsible for designing and implementing evaluation, validation and optimization of GenAI systems. You will define, design and develop LLMs as judges to evaluate task and system outputs across multiple applications, create datasets for benchmarking and evaluation and help design robust and scalable evaluation pipelines for both onine and offline GenAI systems.
:Responsibilities
Design, develop and apply state-of-the-art techniques for evaluating and validating AI agents and/or workflows.
Develop and implement LLM-as-a-Judge (or similar) for different tasks and roles for GenAI systems and tools.
Design and implement evaluation pipelines and benchmark datasets for evaluating model quality, relevance and system consistency for various applications.
Optimize and maintain judge LLMs to evaluate outputs for different use cases such as chatbots, RAG systems, cybersecurity experts and investigators.
Define evaluation KPIs and metrics for both models, systems and tools.
Validate and optimize datasets for various use cases.
Ensure the reliability, efficiency, and scalability of evaluation tools and pipelines for both online and offline use cases.
Work closely with AI/ML engineers to make evaluations a part of the production pipelines of GenAI applications.
Collaborate with cross-functional teams including product, research and data science.
Stay up to date with the latest developments in AI, machine learning, focusing on LLMs, exploring how emerging technologies can be applied to improve our evaluation and validation pipelines.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world execution and delivery. You will own the squads delivery and processes reporting directly to the Director of Program Management, collaborate with Engineering, Data Science, Research and Product teams to drive successful execution of squad deliverables.
:Responsibilities
Lead and manage multiple squads, ensuring efficient workflow and high-quality output
Partner with the Product Manager and R&D Manager to oversee the end-to-end development process for our cybersecurity solutions
Collaborate with the Director of Program Management to align squad goals with overall company objectives
Foster a culture of innovation, continuous improvement, and technical excellence
Mentor and develop team members, providing guidance and support as needed
Implement and optimize agile methodologies to enhance team performance and product delivery

Were on the lookup for a senior backend engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Architect and build scalable, high-performance backend system that enables real-time threat detection platform and find state-sponsored attacks.
: Responsibilities
Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data.
Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance.
Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities.
Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies.
Debug and resolve complex backend issues using strong analytical and problem-solving skills.
Lead processes, drive initiatives end-to-end, and contribute to a collaborative, positive team culture.

Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
:Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.