דרושים Data Governance Operations Analyst ב-Cyberark

As a Data Analyst at CyberArk, you’ll join the AI Solutions group, contributing to the development of intelligent identity security capabilities. This role sits at the intersection of data, product, and AI - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. You’ll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing AI-driven features that improve the performance, usability, and intelligence of our offerings. This is an ideal opportunity to kick-start your career in product analytics with mentorship, responsibility, and meaningful impact from day one

• Analyze product usage and behavioral data to support the design and improvement of AI-powered features.
• Work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and user experience.
• Build and maintain dashboards, KPIs, and reports that drive product decision-making.
• Contribute to the development and validation of success metrics for new capabilities.
• Collaborate with data scientists on experiments, A/B tests, and model monitoring efforts.
• Ensure data quality and support scalable pipelines by working with data engineering teams.
• Communicate findings through clear presentations and visualizations that influence roadmap decisions.
• Develop a deep understanding of product workflows and user behavior to guide analytical priorities.

• 3 years of experience in an analytics role.
• Bachelor’s degree in Industrie Engineering, Information Systems, or related discipline.
• Proficiency in Python for data manipulation, analysis, and basic scripting is required.
• Strong SQL skills and experience querying structured data sources.
• Familiarity with BI tools such as Tableau, Looker, or Power BI.
• Analytical mindset with a keen interest in connecting data to user experience and product performance.
• Excellent communication skills-able to explain complex ideas clearly to technical and non-technical audiences.
• Comfortable working collaboratively in cross-functional teams.

• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Understanding of A/B testing, experimentation frameworks, or product metrics design.
• Interest or experience in cybersecurity, AI/ML, or identity security.

As a Data Science Team Leader at CyberArk, you will lead a high-performing team developing AI/ML solutions that secure the digital world’s most sensitive assets. You’ll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, you’ll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. You’ll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across CyberArk’s identity security portfolio.

• Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
• Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
• Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
• Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
• Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
• Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
• Champion best practices in MLOps, data governance, explainability, and monitoring.
• Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

• 6+ years of industry experience in AI/ML or Data Science, with at least 1-year leading teams and managing direct reports.
• Master’s degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
• Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
• Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
• Strong technical communication skills and the ability to collaborate across cross-functional teams.
• Strategic mindset with the ability to connect AI research to business value and product opportunities.

• Familiarity with cybersecurity, identity security, or risk mitigation use cases.
• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
• Publications, patents, or open-source contributions in AI/ML.

As a Senior Product Analyst at CyberArk, you’ll join the AI Solutions group, contributing to the development of intelligent identity security capabilities. This role sits at the intersection of data, product, and AI - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. You’ll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing AI-driven features that improve the performance, usability, and intelligence of our offerings.

• Analyze product usage and behavioral data to support the design and improvement of AI-powered features.
• Work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and user experience.
• Build and maintain dashboards, KPIs, and reports that drive product decision-making.
• Contribute to the development and validation of success metrics for new capabilities.
• Collaborate with data scientists on experiments, A/B tests, and model monitoring efforts.
• Ensure data quality and support scalable pipelines by working with data engineering teams.
• Communicate findings through clear presentations and visualizations that influence roadmap decisions.
• Develop a deep understanding of product workflows and user behavior to guide analytical priorities.

• 4+ years of experience in an analytics role.
• Bachelor’s degree in Industrie Engineering, Information Systems, or related discipline.
• Proficiency in Python for data manipulation, analysis, and basic scripting is required.
• Strong SQL skills and experience querying structured data sources.
• Familiarity with BI tools such as Tableau, Looker, or Power BI.
• Analytical mindset with a keen interest in connecting data to user experience and product performance.
• Excellent communication skills-able to explain complex ideas clearly to technical and non-technical audiences.
• Comfortable working collaboratively in cross-functional teams.

• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Understanding of A/B testing, experimentation frameworks, or product metrics design.
• Interest or experience in cybersecurity, AI/ML, or identity security.

We are looking for a talented and experienced R&D Platform Engineer to join our dynamic team. Our organization provides cutting-edge services utilized by both internal CyberArk services and external customers. The ideal candidate will be responsible for defining and implementing best practices that can be shared across the company and working on edge technologies on the cloud. This position encompasses all stages of the Software Development Life Cycle (SDLC), including design, development, testing, and ensuring high ROI on deliverables.

• Define and implement best practices for the R&D platform.
• Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions.
• Work on edge technologies and cloud platforms to enhance our services.
• Participate in all phases of the SDLC, including design, development, testing, and deployment.
• Ensure high ROI on deliverables by optimizing processes and solutions.
• Share knowledge and best practices across the company to promote a culture of continuous improvement.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 4 years of experience with Python - must .
• 2+ years experience with AWS - must .
• Experience with the full SDLC, including design, development, testing, and deployment.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
• Strong organizational skills and the ability to manage multiple projects simultaneously.
• Passion for continuous learning and staying updated with the latest industry trends.

Nice to have:

• Experience with Angular or React
• Nice to have experience with serverless design, CDK, or CloudFormation.
• Familiar with SQL and Python / Pyspark (or Java / Scala), data modeling.

CyberArk is actively seeking an accomplished and dynamic R&D Team Lead to Lead our platform for Data & AI. In this role, you will be responsible for several innovative SaaS focused services. You will have the responsibility of overseeing a group of skilled software engineers. Your role involves guiding them in the development of innovative solutions, fostering advancements in data processing, analysis, and AI by leveraging state-of-the-art serverless technologies on the AWS platform. As part of your role, you will be collaborating with security architects, product managers, and other development teams, collectively working towards the creation of sophisticated and secure platforms that adhere to the highest security standards.

We are seeking an energetic and versatile individual to join our team and contribute to the achievement of our objectives. In this capacity, you will provide leadership and direction to a team proficient in AWS serverless architecture, AWS CDK, and Python. This team is responsible for designing, developing, testing, securing, and deploying services throughout the entire lifecycle, from planning to production

• Overseeing a group of skilled engineers
• Producing valuable and qualitative content for our customers in a timely fashion
• Maintaining services in production environment
• Professional growth of the team members
• Recruiting and training new team members
• Working with different groups and focal points in the organization
• Defining improvement goals for the team and leading the team to achieve the goals
• Maintaining our culture
• Deep knowledge of our products and how customers use them
• Working hand-in-hand with Architects, Product Managers, Product Owners and the team to deliver features from requirements to production
• Passionate about code design, high-quality code and code reviews, optimizing, and challenging the status quo

What you need to succeed

• ​3 + years’ hands-on experience leading development of highly-scalable SaaS complex applications

• 5+ years of experience in Python/Go/Java/C#/C++ (Python is a definite advantage)

• 2+ years of experience with AWS cloud platform

• Experience with Agile, CI/CD based development
• Proactive, highly motivated individual with a high work ethic and goal-oriented approach
• Capable and courageous enough to deep dive into complex areas in the system, analyse them, suggest solutions, and make necessary changes
• Excellent communication and presentation skills
• Bachelor’s Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience
• Passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo.
• Proactive by nature; internal drive for excellence and improvement
• Good communication skills, fluent in English, good writing skills
• Autodidact, like to learn new things and share with the team

How will you stand out from the crowd:

• Experience in enterprise scale application development in cloud/SaaS environment (AWS serverless architecture is a definite advantage)

• Experience with AWS and server-less solutions

• Solid understanding of design patterns and best practices.

Key Responsibilities:

• MSP Strategy Execution with GSIs: Drive MSP-centric strategy within key GSI partners already delivering recurring services. Help elevate their MSP motions by embedding CyberArk into their managed service offerings, accelerating time-to-revenue.
• Cross-Functional Influence: Collaborate closely with the MSP overlay team, product marketing, field sales, distribution partners, and executive stakeholders to ensure a unified GSI strategy.
• Partner Co-Sell Alignment: Collaborate with GSI business units, services leadership, and CyberArk field sales teams to define joint success plans, sales plays, and service design models.
• Service Plan Ownership: Help GSIs develop and own the service layer—positioning CyberArk as the foundational component of their security services, especially in PAM, IGA, and machine identity.
• Pipeline and Forecasting: Track and manage GSI MSP pipeline, forecast growth opportunities, and work cross-functionally to remove barriers to execution.
• Enablement Leadership: Educate GSI partners on CyberArk’s MSP licensing, technical integrations, recurring services design, and sales positioning. Ensure alignment across regional delivery and sales functions within the GSIs.
• Market Insight & Evolution: Monitor industry trends, GSI service innovation, and competitor activity to inform strategic shifts and MSP program enhancements
• Willingness to travel regionally to engage directly with GSI stakeholders.

• 7+ years of experience in global or strategic MSP partner/channel roles, focused on GSIs or large MSSPs.
• Proven ability to drive partner-led services growth through recurring/MRR models, ideally within identity or cybersecurity domains.
• Deep understanding of GSI operating models, sales cycles, and service integration frameworks.
• Experience influencing across matrixed organizations and managing complex, multi-country partner relationships.
• Strong commercial acumen and ability to align business models and incentives between CyberArk and partner organizations.
• Excellent communication, presentation, and relationship management skills.

• We are proud to foster a diverse and inclusive workplace, where every individual's unique background, perspective, and contribution is celebrated. We believe that by embracing diversity, we drive innovation and create a stronger, more united team. Inclusion is at the heart of who we are and how we succeed. All qualified applicants will receive consideration for employment without regard to race, colour, age, religion, sex, sexual orientation, gender identity, or disability. Upon conditional offer of employment, candidates are required to complete a comprehensive background check as per our internal policy.
• CyberArk is an equal opportunities employer. If you would like any special arrangements made for your interview, please inform the EMEA Talent Acquisition team upon your application so that we may take steps to accommodate your needs.

We’re looking for a strategic and collaborative Product Management Operations Lead to drive the cross-functional alignment and operational excellence required to successfully deliver products to customers. In this role, you will design and lead the processes that connect Product with Customer Success, Sales, Marketing, and other stakeholder teams — ensuring a consistent and seamless experience from development through delivery and enablement.You’ll help operationalize how we bring products to market, build internal communication channels, and structure feedback loops that allow the product organization to stay tightly connected to the voice of the customer and internal teams.

Key Responsibilities

• Drive Cross-functional Product Delivery: Lead the coordination between Product, Customer Success, Sales, Marketing, and Support to ensure alignment around launches, rollouts, and enablement.
• Product Enablement Strategy: Establish frameworks and resources to help internal teams (Customer Success, Sales, etc.) deeply understand the product roadmap, functionality, and customer value.
• Internal Communication & Visibility: Own and improve channels for sharing product updates, decisions, and changes across the organization.
• Launch Readiness & GTM Coordination: Partner with Product Marketing and Customer Success to operationalize launch plans and ensure teams are prepared for feature releases or new product rollouts.
• Customer Feedback & Insights: Structure and manage scalable mechanisms to collect, synthesize, and prioritize feedback from frontline teams and customers into the product development process.
• Process Design & Optimization: Define and continuously improve internal workflows, handoffs, and documentation practices related to product release and communication.
• Tooling & Infrastructure: Manage the tools that support product collaboration, enablement, and stakeholder engagement (e.g., Confluence, Jira, Aha, etc.).

• 5+ years of experience in product operations, product enablement, program management, or a related role in a technology or SaaS environment.
• Deep understanding of the product lifecycle and experience working closely with GTM teams (Sales, Marketing, Customer Success).
• Strong communication and facilitation skills with a proven ability to work cross-functionally and influence without authority.
• Operationally-minded with experience building scalable processes across departments.
• Proficient in knowledge management and communication tooling (e.g.,
• Confluence, Teams, etc.).
• Comfortable navigating ambiguity, prioritizing effectively, and driving clarity in fast-paced environments.

Nice to Have:

• Experience supporting enterprise product launches and coordinating internal enablement programs.
• Background in customer experience, product marketing, or business operations.
• Familiarity with CRM and CS tools (e.g., Salesforce, Gainsight, Zendesk).