דרושים Data Architect- Ai & Research ב-Cyberark

We’re building foundational infrastructure to secure AI agents — including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.

You’ll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.

Responsibilities:

• Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.

• Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.

• Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.

• Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.

• Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.

• Write thorough tests and maintain high-quality, well-documented code.

• Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

• 5+ years of backend or systems development experience, primarily in Python.

• Strong understanding of secure API development, authentication models (JWT, OAuth2), and basic access control patterns.

• Exposure to secrets management platforms (AWS Secrets Manager, CyberArk Conjur, etc.) - bonus.

• Familiarity with or strong interest in AI agent frameworks (LangChain, AutoGen, LlamaIndex, etc.).

• Exposure to identity and access management concepts — especially in zero-trust or dynamic runtime environments — is highly valuable.

• Experience building SDKs or developer-focused tools is a plus.

• A security-first mindset, attention to detail, and strong debugging/testing skills.

• Excellent communication and collaboration skills — you’ll be interfacing with multiple engineering groups to deliver complete and secure solutions.

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.

Key Responsibilities:

• Collaborate with stakeholders and senior product leaders to implement the product roadmap with a focus on application integrations and connectivity with third-party platforms.
• Define clear product requirements, epics, user stories, and acceptance criteria to guide engineering teams in delivering high-quality solutions.
• Partner closely with engineering teams throughout the software development lifecycle to ensure timely, scalable, and robust delivery of features.
• Work within an agile environment, actively participating in sprint planning, backlog refinement, daily stand-ups, demos, and retrospectives.
• Conduct product demos for internal stakeholders and customers, showcasing product capabilities and new features.
• Engage with sales, solutions engineering, and customer success teams to understand customer use cases and translate them into product requirements.
• Drive product integration initiatives by enabling seamless connectivity with applications, platforms, and services through APIs and related technologies.
• Gather and incorporate feedback from customers and internal teams to continuously improve product offerings.
• Develop and maintain clear product documentation, specifications, and training materials to support adoption and customer success.

• 5+ years of product management/ product owner experience in application integrations or enterprise software.
• If you have strong experience in software development role and are looking for a transition to a product role, we are open to have a discussion.
• Strong experience and understanding of application integration concepts (APIs, SDKs, connectors, event-driven architectures, etc.) –mandatory.
• Proven experience collaborating with engineering teams, with the ability to translate technical concepts into actionable requirements.
• Hands-on experience in agile environments, including participation in related ceremonies (sprint planning, backlog grooming, daily stand-ups, demos, retrospectives).
• Comfortable delivering product demos to both technical and non-technical audiences.
• Excellent communication and collaboration skills, with the ability to influence cross-functional teams and manage stakeholder expectations.
• Strong technical background and understanding of software development practices.
• Ability to write clear and concise documentation, user stories, and specifications.

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.