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we are looking for a S&OP & MRP Analyst to join our growing team!
This is a great opportunity to be part of the fastest-growing infrastructure company in history. In just a few short years, weve shaken up the industry by challenging traditional architecture models and introduced a revolutionary set of storage possibilities through our Universal Storage platform. With the advent of heavy growth in AI cloud infrastructure, we are perfectly positioned to act as the platform to power AI and deep learning in modern data centers and clouds.
Our success has been built through incredible leadership and motivated employees who want to leverage their skills and experiences to make a real impact. This is an opportunity to be a key player at a pivotal time in our companys growth.
Come join the disruption, make your mark, and be a part of the amazing team introducing the new era of data storage for the growing AI market!
About the Role:
This is a critical planning role that requires strong attention to detail, cross-functional collaboration with Supply Chain, Materials, and Sales, and the ability to take multiple concrete and ambiguous perspectives and data points to update existing planning models and build up ad-hoc planning models.
Using financial targets, historical run rates, inventory data, and sales opportunity leads - generate and publish monthly product demand forecasts for our companys integration partners.
Maintain and analyze our companys integrator sites inventory data on an ongoing basis
Drive planning analyses and recommend strategies for component/product EOL scenarios, product transitions, and risk buys
Own generating, managing and reporting the monthly demand forecast for Services inventory
Present updates and recommended actions to Operations executive management team on a weekly basis.
Identify, create, and implement new planning processes and models.
Ability to design & implement cross functional, cross org S&OP processes & collaborating with data & IT groups for implementing new services & solutions.

We are looking for a ML Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

We are looking for a highly skilled and data-driven Senior Supplier Quality Engineer to join our Operations team. This role will closely work with Hardware Engineering, Customer Support, Manufacturing Engineering and Procurement to drive alignment of our quality roadmap and key initiatives. You will be responsible for analyzing failure data, driving root cause analysis with suppliers, and leading projects to improve product quality and their manufacturing processes. The ideal candidate will have strong analytical skills with a deep rooted structured problem-solving background and show proven experience in closed loop failure analysis resolution and supplier quality metric tracking.
Key Responsibilities:
Hardware & Electronics Knowledge: Understanding of PCB, components, connectors, cables, and system-level hardware
Failure Analysis & Root Cause Investigation: Analyze failure data from various sources (e.g., testing, production, field data) to identify trends, patterns, and root causes of hardware failures in our data storage products. Quality tools and methodologies
FMEA (Failure Modes & Effects Analysis)
8D / RCCA (Root Cause Corrective Action)
​​Supplier Relationship Management: Ability to influence, negotiate, and drive accountability with suppliers
Process Improvement & Projects: Lead projects to design, implement, and validate improved testing protocols, manufacturing processes, and quality assurance measures to prevent future failures.
Reporting & Documentation: Create and maintain detailed failure analysis reports, root cause analysis documents, and process improvement plans. Present findings and recommendations to senior leadership.
Quality Metrics & KPIs: Develop, track, and report on key quality metrics (e.g., defect rates, yield, reliability) to monitor product quality and identify areas for improvement.
Cross-Functional Collaboration: Work with customer support, engineering, and quality teams to ensure alignment on quality goals and continuous improvement initiatives.
Supplier Audits - Lead quality audits at supplier sites as needed to ensure supplier quality practice.
Project Management: Coordinating supplier corrective actions and monitoring closure on time.

We are seeking a skilled ML Engineer to design, build, and deploy advanced ML solutions that drive analytics, anomaly detection, and data classification across enterprise-scale environments.
This role will focus on developing and optimizing models, including LLMs and prompt engineering pipelines, and ensuring seamless integration into production workflows spanning cloud-native, on-premises, and Databricks ecosystems.
Key Responsibilities :
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

We are seeking an experienced, proactive, and highly organized Office Manager to join our dynamic team to take full ownership of day-to-day office operations and have comprehensive responsibility for the daily operation of the office, providing administrative support, and managing a pleasant and efficient work environment.
This role is perfect for someone who enjoys working with people, passion about welfare activities and truly values creating a supportive and comfortable workplace experience for others.

We are looking for a Java Software Engineer- Privacy.
Responsibilities:
Design, develop, and maintain Java-based & .Net based microservices
Ensure backend components are high-performing, stable, and scalable across cloud environments
Collaborate with product managers and cross-functional engineering teams to deliver integrated solutions
Write and maintain clean, well-tested, and secure code following industry best practices

We are looking for a magician. Someone who has the ability to create a mixin of scale data and complex UI.
You know who you are, creating (Angular) components for the last 2 years (minimum), sleeping with CSS and you think life is all about good Karma.
While Varonis is not that small (which has its huge advantages), we can assure you that you will be heard and that you will create an impact.
Frontend engineers Join us! We make the world more pretty.
As a Frontend Engineer, You Will:
Improve your skills and learn from top-notch engineers
Develop Varonis near real-time analytics web application
Tackle complex problems and find creative ways to solve them
You will explore new technologies, libraries, and methodologies; and integrate them into our code base.
Write using code patterns and clean code.

Being a worker is about being your authentic self. We celebrate individuality and welcome the unique qualities that make you, you. Whether youre bubbly, shy, precise, funny, bold, or anything in between, were ready to embrace your strengths and help you do your best work.
Our HR platform is intuitive, data-driven, and designed for todays workplace: global, remote, and collaborative.
Team Leadership and Development:
Lead, mentor, and empower the EMEA CS Solution Architect team, fostering collaboration and professional growth.
Create clear career development pathways for team members, focusing on skill-building and leadership readiness.
Strategic Customer Consultation:
Guide the team in delivering high-value, strategic consultations to the Professional Services and Customer Success teams.
Oversee the creation of scalable frameworks and best practices to ensure consistent delivery excellence.
Product Impact and Insights:
Partner with Product, CXE, and CS leadership to amplify the Voice of the Customer (VoC) in roadmap planning.
Facilitate the teams role as solution engineers, providing cross-module and cross-platform expertise.
Operational Excellence:
Collaborate to establish and optimize internal processes.
Monitor team KPIs and SLAs, ensuring timely and effective resolution of consultations and escalations.
Cross-Functional Collaboration:
Collaborate with multiple stakeholders such as: Product Enablement, CS Operation and Product to drive data-driven decision-making,
Act as the EMEA CS Solution Architect representative in global discussions, ensuring regional needs and insights are addressed.

Being a worker is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
What will you do?
Own a portfolio of 2535 enterprise (large) accounts ( both Israel & global clients) and deliver a high-touch, strategic customer success approach.
Build and execute tailored customer success plans aligned with business objectives, adoption milestones, and measurable outcomes.
Lead key customer engagements including Executive Business Reviews, roadmap alignment, technical enablement, and account planning sessions.
Champion platform adoption through multithreaded stakeholder engagement and position our company as a strategic partner in business transformation.
Become a trusted advisor by deeply understanding customer goals and driving long-term value through proactive success planning.
Collaborate cross-functionally with Product, Sales, Marketing, Services, and Development teams to represent the voice of the customer.
Support growth by identifying upsell and cross-sell opportunities, partnering with Account Managers on deal strategy and Renewal Managers on retention planning.
Monitor customer health using data-driven insights to mitigate churn risks and sustain high levels of customer satisfaction and net retention.
Promote customer advocacy by aligning platform value to strategic outcomes and fostering long-term relationships.
Maintain detailed and up-to-date account documentation, including stakeholder maps, strategic success plans, and engagement materials.

We are looking for a Data Platform Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Key Responsibilities:
Design and implement scalable data processing pipelines using Azure Databricks and other modern data platforms to power real-time analytics and insights.
Push boundaries by pioneering new technologies and stretching existing ones to their limitsbe a trailblazer in data innovation.
Design, build, and maintain scalable data processing and analytics infrastructure and pipelines, optimizing for performance and cost efficiency.
Collaborate cross-functionally with software engineering, product, and research teams to understand data needs and ensure data solutions meet business requirements.
Engage with strategic customers, ensuring our data solutions meet high standards and deliver measurable value in real-world environments.

We are looking for a Data Analytics Engineer.
What were looking for:
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques

We are looking for a Cloud Security Researcher.
Responsibilities:
Research for new security issues/vulnerabilities in Cloud Environments & SaaS Applications
Write proof-of-concept, threat detections, and analytical algorithms
Analyze logs and behavior of user activities on Cloud Environments & SaaS Applications
Hunt threat actors & insider threats
Collaboration with R&D groups within the company to implement your latest research
Evaluate and recommend steps to harden customer's Cloud Environments & SaaS Applications
Optimizing existing algorithms to reduce false positives and increase the value of our products
Writing cyber security oriented blogs and publications
Follow and Evaluate new security threats, attack vectors, and technologies

We are looking for a Senior Frontend Developer to join our AI Frontend Infrastructure team.As a senior engineer, you'll be responsible for shaping the technical direction of our frontend-AI infrastructure, ensuring it is scalable, reliable, and developer-friendly. You'll work closely with AI engineers, product teams, and design to create robust abstractions, shared libraries and solutions that allow AI features to be integrated seamlessly into our applications.
Build and maintain frontend infrastructure: Develop and evolve core frameworks, shared libraries, and design system integrations to support AI-driven features across products.
Optimize for performance and scalability: Ensure frontend systems can handle high-frequency AI interactions (real-time rendering, streaming responses, data visualization, etc.) without compromising usability.
Abstract complexity: Design developer-friendly APIs, components, and tooling that make it easy for product teams to consume AI services.
Collaborate across teams: Partner with AI/ML engineers, infra teams, and product designers to integrate AI capabilities into user experiences.Drive best practices: Mentor engineers, improve coding standards, testing strategies, and CI/CD workflows for frontend development.
Explore and experiment: Stay ahead of emerging frontend and AI technologies, evaluating frameworks, libraries, and approaches that could benefit the organization.
What You'll Get to Do
Shape the foundation of how AI is experienced in our product.
Work on challenging technical problems where performance, scalability, and usability matter.
Influence the frontend architecture roadmap and contribute to company-wide engineering standards.
Be part of a team that values experimentation, developer experience, and shipping impactful infrastructure.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our companys data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers while collaborating closely with product, DevOps and analytics stakeholders.
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

We are looking for a Cloud Security Research Team Leader.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Team Leadership
Lead and mentor a team of top notch cloud security researchers.
Foster a culture of innovation, collaboration, and excellence within the team.
Provide technical guidance and support to team members.