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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.

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 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.

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.

We are looking for a Full-Stack Engineer to join a unique and highly impactful team.
This team operates across both frontend and backend,
building a core internal platform that powers critical workflows across the company - including R&D, Product, MDR, and Security Research teams. This system is at the heart of how we operate, enabling powerful capabilities and directly impacting day-to-day work across the organization.
This is a highly sensitive and critical system that directly impacts production environments and customer experience, requiring strong ownership and attention to detail.
Youll work closely with real users inside the company, gaining fast feedback loops and high visibility. In addition, the team collaborates with the broader Frontend group and contributes to features in the main product, giving you exposure to both internal systems and customer-facing experiences.
The team is deeply involved in product and design decisions, with strong ownership over user experience, architecture, and technical direction.
Responsibilities:
Design and build end-to-end features across the stack using
React, TypeScript, and Java
Take ownership of features from concept to production, including architecture and implementation
Collaborate closely with Product, Design, and internal stakeholders to define solutions
Work directly with internal users to understand needs and iterate quickly
Contribute to both internal platforms and customer-facing product features
Drive best practices in code quality, testing, and system design
Participate in design and code reviews
Continuously improve performance, scalability, and usability of the system.

We are now hiring a talented, self-driven, and passionate Senior DevOps to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
What Youll Do:
Lead the design and architecture of cloud-based data solutions, ensuring scalability, reliability, and performance.
Design and build data pipelines for field data collection, analysis, and inference using industry production-grade technologies and tools.
Design and build customer cloud / on-premise data solutions for storage, lookup, and processing flows.
Study and incorporate standards for data governance, security, and compliance.
Provide online and real-time monitoring and analysis of data systems health, accuracy, and costs.
Plan and execute integrations with our edge computing solutions and AI models for both research and production flows.

We are looking for an experienced Frontend Engineer to join our exceptional Frontend Engineering team. The team tackles complex engineering challenges daily, both solving new problems and continuously enhancing existing solutions. We work with cutting-edge technologies, including React, WebGL, and TypeScript, to build innovative and high-performance user interfaces.
Responsibilities:
We work with React, WebGL, Typescript and more technologies
We do pure Frontend (no Fullstack Devs here) and we are also in charge of defining the API schema.
We take Product very seriously and advocate for the user experience ourselves, and the esthetic integrity of design and architecture.

We are looking for an experienced Backend Team Lead to join our Backend Engineering group and lead a strong team of engineers.
In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment.
You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth.
Responsibilities:
Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Interfacing with other teams (e.g. Frontend, DevOps) to deliver best-in-class features.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.
This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.
What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.

We are looking for an experienced Software Engineer to join our great Backend Engineering team.The team faces complex engineering issues on a daily basis, both solving new challenges and constantly improving the existing solutions. We work with all major cloud providers (AWS, GCP, Azure) and use cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more.
Responsibilities:
Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Interfacing with other teams (e.g. Frontend, DevOps) to deliver best-in-class features.

Were looking for a hands-on AI Engineer
to build and own the agentic workflows at the heart of our security intelligence engine. This is a
backend-focused engineering role
: youll design, build, and maintain the autonomous systems that execute security workflows end-to-end - taking capabilities from research prototype to scalable, production-grade infrastructure.
Youll be working at the edge of applied AI, turning LLMs and agentic frameworks into reliable, observable systems that operate in real customer environments.
What Youll Build:
Agentic Workflows (Core Focus): Design and maintain the orchestration backbone for multi-step, autonomous agents that investigate, reason about, and act on complex security operations.
Internal AI Infrastructure: Contribute to a shared platform for models, data pipelines, training, evaluation, and observability that the whole AI team builds on.
Responsibilities:
Build and maintain the agentic workflow engine - orchestration, tool use, state management, retries, and evaluation - that powers our AI-driven security features.
Develop the backend services and APIs that deploy AI capabilities safely and at scale.
Collaborate with AI Researchers to translate findings into production-grade autonomous workflows.
Own reliability, observability, and performance of the agentic systems in production.