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We are looking for a visionary AI Lead to build our internal AI platform and architect adaptive intelligence systems that serve as a dedicated security architect for each of our customers. You will lead a team of AI Researchers and Engineers to move beyond simple integrations and build true autonomous security solutions.
What You Will Build:
Autonomous Workflows: Build agents that execute security workflows end-to-end, automating detection, investigation, and response processes.
Runtime Defense: Productize research into active runtime guardrails and defensive control mechanisms.
Internal AI Platform: Build the shared infrastructure for models, training, and evaluations to enable safe, scalable AI features across the organization.
Adaptive Intelligence: Oversee the development of models that learn from customer-specific environments to generate high-signal, personalized insights.
Responsibilities:
Lead the AI Research Group, managing AI Researchers, Engineers, and DevOps.
Own the intelligence engine end-to-end, delivering next-generation analytics and contextual visualization features.
Drive the strategic "build vs. partner vs. buy" decisions for cloud prevention and AI controls.
Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.

As a Senior AI&ML Researcher in our Workforce Management group, you will be part of a cross-sectional team working at the intersection of machine learning, GenAI, agentic AI, ML-Ops and Operations Research. You will develop the next generation of our companys Workforce Management solution for our customers contact centers - forecasting work volume, scheduling agent shifts, managing time-off requests, and owning the full lifecycle of the work schedule, in a high-stakes production environment serving many customers. Our solution has been recognized as the market leader for over 10 years.
How will you make an impact?
Developing end-to-end ML systems, tailored to specific project needs, to train and serve production-level models in a high-stakes environment.
Deploying GenAI and agentic AI systems to customers in production, improving on existing solutions or creating new services from scratch.
Designing and building agentic AI flows - tool use, multi-step reasoning, and orchestration.
Forecasting work volume and optimizing shift schedules using time-series methods and mathematical optimization.
Integrating new features and solutions into large existing software systems, stringing multiple disciplines together.
Running unstructured evaluation processes - finding noteworthy phenomena, experimenting, and feeding conclusions back to the team.
Owning projects end-to-end, leading team members and colleagues to efficient planning and delivery.

We are seeking a detail-oriented and highly technical Data Operations Specialist to join our Data Operations team for an 6- month maternity leave cover. In this role, you will be responsible for annotating various events on our distinct fiber sensing data, and managing datasets to support various products and projects. You will play a crucial part in ensuring the quality and integrity of our data, contributing to multiple critical initiatives. You will help improve our annotation procedures, techniques, and tooling; and work closely with ML and Algo teams as well as Data Engineering.
This is a unique opportunity to gain hands-on experience in data operations within a dynamic environment using cutting edge and novel technology. You will join a talented team dedicated to leveraging data for impactful projects. If you are passionate about data and eager to contribute to exciting challenges, this might be the perfect opportunity for you.
What Youll Do:
Data Annotation - Accurately annotate datasets using internal tools, adhering to annotation guidelines and maintaining high standards for consistency and quality.
Tool Maintenance - Help maintain team tools, such as annotation tools and automated processes, using Python and Gen AI.
Quality Assurance - Review and validate annotated data to ensure accuracy and consistency, identify discrepancies, and suggest solutions to improve processes.
Continuous Improvement - Participate in the continuous improvement of our tools and data operations processes to achieve more accurate models, and more streamlined data flow between the different teams in the company.
Data Management - Support the ongoing maintenance of annotated datasets, ensuring data integrity and accessibility, and implementing best-practices to create seamless data flows.

we are looking for a Director of AI.
The Director of AI will lead the companys AI organization, including algorithm development teams, embedded algorithm engineers within product squads, and the Data Operations team.
This role combines strategic leadership with execution ownership, driving the development, deployment, and continuous improvement of AI-powered products across power transmission, border security, and critical infrastructure monitoring.
The Director of AI is accountable not only for algorithm innovation, but also for ensuring successful production deployment and measurable customer impact. This leader will establish a customer-first culture across the organization, aligning AI development priorities with customer needs, product objectives, and business outcomes.
The ideal candidate is a visionary yet execution-oriented leader who can bridge cutting-edge AI research with scalable production systems, build high-performing teams, and deliver measurable customer value.
Success in this role will be measured not only by algorithm performance, but by the ability to deliver AI capabilities into production and generate measurable value to our customers.
What Youll Do:
Lead the AI group, including algorithm development teams, embedded algorithm engineers, and data operations.
Build and mentor high-performing teams, fostering a culture of ownership, collaboration, continuous improvement, and customer focus.
Define and execute the AI roadmap in alignment with company strategy, customer needs, and product objectives.
Lead the development and deployment of AI, Machine Learning, Deep Learning, and Signal Processing solutions.
Own the full AI lifecycle, from research and experimentation through production deployment, monitoring, and continuous optimization.
Lead the Data Operations function, ensuring efficient annotation, labeling, and quality processes that support AI development.
Partner closely with Product, Engineering, and business leaders to maximize AI impact across the organization.
Engage with customers and stakeholders to understand challenges, identify opportunities, and drive measurable business value.
Communicate AI strategy, progress, opportunities, and risks to executive leadership.
Contribute to company strategy, product direction, and technology leadership.

We are looking for a hands-on AI Engineer to help build our core intelligence engine and infrastructure. In this role, you will work on exploring and building autonomous solutions that execute security workflows end-to-end, moving capabilities from research concepts to scalable production features.
What You Will Build:
Internal AI Infrastructure: Contribute to a shared internal AI platform for models, data, training, and observability.
Autonomous Capabilities: Build solutions that automate complex security operations and investigative workflows.
Active Defense Mechanisms: Help productize runtime guardrails into customer-facing protective controls and monitoring systems.
Responsibilities:
Develop and implement the engineering backend for AI-driven security features.
Build and maintain the internal mechanisms that allow for safe and scalable AI feature deployment.
Collaborate with AI Researchers to translate findings into production-grade autonomous workflows.
Implement runtime guardrails and AI-focused data security capabilities.

As a Senior Data Science Researcher in our Workforce Management group, you will be part of a cross-sectional team working at the intersection of machine learning, GenAI, agentic AI, ML-Ops and Operations Research. You will develop the next generation of our companys Workforce Management solution for our customers contact centers - forecasting work volume, scheduling agent shifts, managing time-off requests, and owning the full lifecycle of the work schedule, in a high-stakes production environment serving many customers. Our solution has been recognized as the market leader for over 10 years.
How will you make an impact?
Developing end-to-end ML systems, tailored to specific project needs, to train and serve production-level models in a high-stakes environment.
Deploying GenAI and agentic AI systems to customers in production, improving on existing solutions or creating new services from scratch.
Designing and building agentic AI flows - tool use, multi-step reasoning, and orchestration.
Forecasting work volume and optimizing shift schedules using time-series methods and mathematical optimization.
Integrating new features and solutions into large existing software systems, stringing multiple disciplines together.
Running unstructured evaluation processes - finding noteworthy phenomena, experimenting, and feeding conclusions back to the team.
Owning projects end-to-end, leading team members and colleagues to efficient planning and delivery.

We are looking for a talented, self-driven, and hands-on DSP Researcher to join R&D team.
In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications.
You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams.
This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
What Youll Do:
Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
Develop simulations, models, and analysis tools using Python and/or C++ for lab experiments, field data analysis, signal processing, and system-level performance evaluation.
Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

We are looking for a Senior Software Engineer to join the Data Repositories team, part of the Actimize NXT Gen PaaS/SaaS engineering group. In this role, you will design and build core backend services and data infrastructure powering Actimizes cloud native financial crime solutions.
Our next generation platform is being built from the ground up on AWS and will serve developers, data engineers, and data scientists at the worlds leading financial institutions. This is a unique opportunity to shape foundational platform components, influence architecture, and work with cutting-edge cloud and data technologies at scale.
How will you make an impact?
Lead, design, and implement backend/datacentric components for a cloud native platform on AWS.
Own end-to-end delivery: from requirements and architecture to coding, testing, deployment, and monitoring.
Build robust, scalable, and observable services used across the Actimize NXT Gen ecosystem.
Be a technical authority within the team: guide design discussions, perform code reviews, mentor developers.
Troubleshoot complex issues across distributed systems, data stores, and microservice architectures.
Drive innovation: evaluate new AWS services, frameworks, and data technologies; introduce improvements proactively.
Collaborate in an Agile environment with product managers, architects, DevOps, and cross functional engineering teams.
Ensure high availability, performance, and enterprise grade quality across components you own.

We are looking for an experienced Product Manager to join our product team, the runtime-powered CNAPP that revolutionizes cloud infrastructure security. As a Product Manager, you will have a pivotal role in steering the strategic direction of our product, contributing to the ongoing success of our mission to redefine cloud security. If you are a forward-thinking Product Manager ready to make an impact in a fast-paced and innovative environment, we invite you to be a key player in our dynamic team.
Responsibilities:
Leading, defining, and building features, capabilities, and domains within our product.
Engaging with customers and the sales team on strategic accounts, providing strong technical leadership.
Collaborating closely with our talented R&D teams to build impactful features.
Taking ownership of all product aspects from design through development and rollout.
Collaborating with Product Marketing, Customer Success, and Sales to deliver an exceptional experience to our customers.

As a Senior Software Engineer, you will be at the heart of building our companys next‑generation Workforce Management platform - an advanced cloud‑native solution enhanced with intelligent, AI‑powered capabilities.
In this role, you will build full‑stack features, orchestrate AI agents to accelerate engineering workflows, and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Develop end to end cloud features on top of AWS.
Optimizing components for maximum performance.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations.
advise on tech. selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

Required People Infrastructure Lead (Systems, Data & Compensation)
Tel Aviv Full-time Senior
About The Position
Anext-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, we use runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, we deliver comprehensive capabilities - including agentless cloud posture discovery, real-time threat protection, and integrated API security. We're in a period of significant growth. There's an enormous amount to build, improve, and shape - and every hire changes the trajectory of the company.
What this role is;
Think of this as the platform engineering role for our People function. Just like a platform team builds the systems that let engineers ship fast - you'll build the operational layer that lets the entire company run fast.
Real-time data. Automated workflows. Compensation logic that actually scales. No legacy systems to untangle, no inherited processes to maintain. Full ownership over how People infrastructure gets designed, built, and operated .
This isn't traditional People Ops. It's the technical backbone behind it.
What you'll build:
Own the People infrastructure end-to-end - HiBob and the integrated ecosystem around it.
Engineer frictionless, automated lifecycle workflows across the entire employee journey - from offer to offboarding.
Build the compensation infrastructure from the ground up: leveling, salary bands, benchmarking, and the logic that ties them together.
Turn organizational data into a real-time, high-fidelity source of truth that leaders actually trust.
Deploy AI and automation to eliminate manual work - not assist it.
Give leadership the visibility and operational agility to make fast, confident decisions at any scale.
These are the core domains. What you build within them and how - is largely up to you.
You'll thrive here if:
You've built People systems from scratch - not maintained someone else's.
You think in systems and data, not tickets and tasks.
You're technically comfortable - you can turn a People challenge into an automated workflow without waiting for IT.
Compensation logic excites you, not intimidates you.
You've worked in a high-growth environment and know exactly what breaks at scale.
You're excited by using AI to replace manual work - not just dress it up.
You move decisions forward instead of getting stuck in discussions.

We are seeking a talented, self-driven, team-player, passionate Physicist to join our R&D team. In this role, you will develop and advance distributed fiber optic sensing technologies, combining theoretical modeling, simulations, fiber-optics systems design, and hands-on experimental work.
You will tackle complex physical challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative solutions from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.
What Youll Do:
Experimental and theoretical R&D work for the development of next generation distributed fiber optic acoustic sensing (DAS) electro-optic interrogation systems.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning optical signal generation and propagation, coherent detection, DSP algorithms, and advanced data analysis.
Experimental Work to prove new concepts, develop innovative solutions for new products, and support current generations.
Develop software tools and simulations (Python/MATLAB/C++) for laboratory experiments, field data analysis, signal processing, and system modeling.
Collaborate with multidisciplinary R&D teams and projects.
Communicate effectively with technical and non-technical colleagues.

We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis.
You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What Youll Do:
Lead experimental and theoretical R&D efforts for the development of next-generation distributed fiber-optic acoustic sensing systems.
Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
Develop system-level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
Build software tools and simulations in Python, C++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.