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Were looking for a hands-on Senior Automation Engineer to join our QA Automation team and play a key role in shaping the quality, scalability, and reliability of SaaS cyber platform.
In this role, youll own and evolve automation strategy, design robust testing systems, and influence engineering practices across teams. Youll work on complex cloud, security, and data-driven flows, while using AI tools as part of your daily workflow to accelerate development, improve test coverage, investigate failures, and increase automation efficiency.
The Responsibilities:
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.

We are seeking a Senior Applied Researcher/ Data Scientist to join core product organization, where you will build and deploy 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 join a team within Cyber R&D organization, leading the companys 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.
As a key technical leader, you will guide the evolution of our AI capabilities-converting cutting-edge ideas into impactful, production-ready systems and shaping our long-term direction.
We are looking for visionary applied researchers eager to take on ambitious challenges and push the boundaries of AI in cybersecurity.
The Responsibilities:
Design and build advanced AI models and systems that power 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 organizations roadmap and contribute to long-term technical strategy across AI and product landscape.

We are seeking a Senior AI Engineer to join core product organization, where you will design, build, and scale next-generation AI systems powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). This role focuses on developing production-grade systems leveraging LLMs, advanced machine learning, and agent-based architectures.
You will join a team within Cyber R&D organization-leading the companys core product portfolio- while driving AI innovation and establishing engineering best practices across the domain. The team focuses on building and optimizing large-scale AI systems, including LLM-based solutions and advanced multi-agent workflows, working closely with data scientists and researchers to bring ideas into production.
The Responsibilities:
Design, build, and own end-to-end AI solutions- from data collection and preprocessing to model training, evaluation, and production deployment.
Optimize systems for performance, scalability, and reliability in production environments.
Collaborate closely with product, design, and engineering teams to identify and deliver AI-driven capabilities that address real customer needs.
Stay up to date with emerging AI/ML technologies, frameworks, and best practices, and apply them where they create real impact.
Work across the stack, contributing to backend systems and data pipelines that support large-scale AI applications.
Troubleshoot and resolve complex system issues, including performance bottlenecks, race conditions, and memory-related challenges.
Approach problems with a strong analytical mindset, delivering robust solutions while contributing to a high-performing, collaborative team environment.

Were looking for a highly technical, automation-driven Hubspot expert to own and optimize our HubSpot ecosystem and the workflows that power our Sales teams. If you enjoy building scalable automations, integrating tools and solving operational challenges with low/no-code vibe coding, youll thrive in this role.
Why Youll Love This Role:
High ownership of GTM systems and automation infrastructure.
Ability to build workflows that directly impact growth and operational efficiency.
Fast-moving environment with room for creativity, experimentation, and innovation.
Meaningful cross-department influence, helping unify Sales, Product, and R&D priorities.
Hiring manager: Nir Slonim, VP M&A (Linkedin profile)
Responsibilities
HubSpot Ownership
Serve as the primary owner of HubSpot across Marketing, Sales, and Service Hubs.
Build and optimize workflows, pipelines, properties, scoring models, and lifecycle automations.
Maintain HubSpot data hygiene, architecture, naming conventions, and user setup.
Automation & Integrations
Design and maintain advanced automations using external no-code tools (Zapier, make.com, and etc.) and working closely with the Product & R&D departments.
Troubleshoot sync issues, workflow conflicts, and integration failures.
Data, Reporting & Insights
Work with Product and Data to define which data is collected and how to visualize it.
Build and maintain dashboards that track sales activity, deal flow, and performance trends.
Process Design & Optimization
Map, refine, and automate processes for lead management, lifecycle stages, routing, handoffs, etc.
Identify operational gaps and implement scalable solutions.
Create documentation, training, and best practices for GTM teams.
Cross-Functional Collaboration
Partner closely with Marketing, Sales, CS, and Product to translate operational needs into system builds.
Support team enablement on HubSpot tools, dashboards, and automations.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world security research. You'll help us harness the power of trillions of security signals to rapidly diagnose and alert the latest attacker behaviors, drive critical context-rich signals, construct new tools and automations to support customers, identify threats, and detect advanced attacker techniques.
The Responsibilities:
Analyze various network devices, configurations and security products
Implement methods and algorithms to discover network topology, relationships between devices and potential lateral movement paths
Conduct network security assessments to identify weaknesses in customers network infrastructure, and recommend mitigations to monitor and limit unauthorized access
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams