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לפני 5 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Were looking for an experienced AI Project Manager to lead and coordinate cross-functional projects within our AI Group. You will partner with research, data science, and product leaders to translate strategy into action, managing timelines, dependencies, and priorities for our most advanced AI initiatives.
:Responsibilities
Lead the planning, execution, and delivery of multiple AI projects across research and production teams.
Partner with AI scientists, ML engineers, and product stakeholders to define goals, success metrics, and execution plans.
Establish and maintain clear project roadmaps, ensuring alignment with the AI Groups strategic priorities.
Manage communication across technical and non-technical stakeholders, providing visibility into progress and blockers.
Drive agile processes within AI teams to support experimentation, iteration, and scalable delivery.
Identify and mitigate project risks, ensuring smooth collaboration across research, data, and engineering functions.
Promote a culture of technical rigor, transparency, and innovation within the AI Group.
Requirements:
4+ years of experience in project or program management within AI, data science, or research teams.
Understanding of AI/ML development lifecycles, including research, model training, validation, and deployment.
Strong ability to manage multiple complex, high-impact initiatives simultaneously.
Experience collaborating closely with research teams in a fast-paced, iterative environment.
Proficiency in agile methodologies and project management tools (Jira, etc.).
Excellent communication and stakeholder management skills, able to translate technical updates into clear, actionable insights.
Excellent English, both spoken and written.
This position is open to all candidates.
 
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07/12/2025
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We are seeking an experienced and passionate Research Manager to lead our Customer Success applied research team. In this pivotal role, you will lead a dedicated team of researchers focused on understanding our customers needs, experiences, and interactions with our products, and identify proactive paths to enhance customer experience.

As a Research Manager in our Customer Success you will

Manage and mentor a team of researchers and analysts, providing guidance on research methods, project execution, and professional development.

Foster a collaborative and innovative team environment that encourages creativity and knowledge sharing.

Strong leadership and team management skills, with a track record of developing high-performing teams.

Tap into an existing experimental research framework and facilitate its execution at scale.

Develop and implement a comprehensive research strategy that aligns with the goals of the Customer Success group and the broader organization.

Oversee the design, execution, and analysis of qualitative and quantitative research projects to gather insights about customer behavior, preferences, and pain points.

Translate complex research findings into actionable insights and recommendations for Customer Success, Product, and additional groups within us.

Identify opportunities for improving customer engagement and loyalty based on research findings.

Collaborate with stakeholders across Customer Success, Product Management, Marketing, and Sales to ensure research efforts are aligned with business objectives.

Work closely with the developers in the Customer Success Applied Research group to align the development of internal research tools.

Prepare and present research findings and recommendations to senior leadership and stakeholders in an easily digestible format.

Champion the voice of the customer across the organization by effectively communicating insights from customers and advocating for their needs.

Mentor and develop team members, fostering a culture of continuous learning, growth, and excellence.

Stay up-to-date with industry trends, best practices, and emerging technologies related to customer experience and research methodology.
Requirements:
To be a Research Manager in our Customer Success, you need

A Ph.D. (preferred) or Ma/MSc with thesis in a related field (e.g., Human-Computer Interaction, Psychology, Sociology, Business, Data Science) or equivalent industry experience.

5+ years of experience in research roles, with at least 2 years in a leadership or management position.

Proven experience managing and mentoring a team of researchers and analysts.

Strong expertise in both qualitative and quantitative research methodologies.

Demonstrated ability to translate research findings into actionable insights and strategic recommendations.

Excellent communication, presentation, and interpersonal skills, with the ability to effectively convey complex information to diverse audiences.

Proficiency in data analysis tools and techniques.

Passion for understanding customer needs and improving user experiences.

Experience in the B2B SaaS industry is a plus.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Research Team Lead
About the role
As the Research Team Lead, you will guide our threat-research, security-innovation, and vulnerability-discovery efforts. You will define the strategy for how we uncover cloud threats, identify novel attack vectors, influence product direction, and contribute thought leadership to the cybersecurity community.
You will manage a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful.
Key Responsibilities
Develop, own and evolve the research strategy by defining high value focus areas such as cloud misconfigurations, identity threats, workload vulnerabilities and side channel attacks, and ensuring alignment with our product roadmap and business objectives.
Lead, coach, and mentor a multidisciplinary research team of cloud-security experts, threat analysts, and software engineers.
Define metrics for research impact: e.g., number of vulnerabilities discovered, mean time to detection of new threats, number of research-driven product innovations.
Leverage large-scale data analysis and AI/ML tools to identify trends, automate detection, and enhance cloud threat intelligence.
Identify and drive discovery of new vulnerabilities, attack techniques or adversary behaviors targeting cloud platforms, containers, serverless, data stores etc.
Stay current with the threat-landscape, emerging technologies, adversary tactics, and regulatory/compliance changes affecting cloud security.
Collaborate with product, engineering and R&D teams to ensure research insights translate into concrete features, detection logic, and customer value.
Manage the research resource planning, tooling/infrastructure for the research function including sandbox environments, data analysis tooling, and attack simulations.
Establish partnerships with external research groups, academic institutions, and industry peers to amplify our capabilities and knowledge network.
Publish research findings (blog posts, white-papers, conference talks) to elevate our reputation as a cloud-security innovator.
Influence the broader security community through vulnerability disclosures, advisory publications, industry working groups, and open research collaboration.
דרישות:
7+ years in security research, threat intelligence, vulnerability discovery or related roles, with experience and passion for leadership.
Proven experience in managing a team mandatory
Deep technical knowledge of cloud infrastructure (AWS, GCP, Azure), containerization (Kubernetes, Docker), serverless, IAM, data storage, code repositories and associated threat vectors.
Proven ability to write production-quality code, particularly in Python and Go.
Deep experience with data systems: SQL and NoSQL databases (e.g., PostgreSQL, BigQuery, Elasticsearch, or similar).
Experience applying data analysis, machine learning, or AI-assisted tools (e.g., LLMs, automated pattern recognition, or anomaly detection) to security research.
Proven track record of publishing and presenting research (vulnerability advisories, conference talks, white-papers), and translating research into product/detection capabilities.
Hands-on ability: understanding of reverse engineering, exploit development, or other cutting-edge security techniques.
Strong leadership and organizational skills: building and scaling a team, setting vision, driving execution.
Excellent communication skills: able to share technical insights with engineering, product, senior leadership, and external audience.
Strategic thinker with strong business acumen and the ability to align research activities with company objectives.
Advantage
Experience building or contributing to security-product codebases (e.g. scanning engines, detection frameworks, or telemetry pipelines).
Strong network in the security research community, experience working with bug-bounty programs, open source projects, vulnerability di המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support our business. Together with other Data Engineers and Product Managers, you will translate the voice of our customer into best-in-class digital insights.

Responsibilities:
Analyzing data from various sources and transforming it into actionable insights that directly drive business growth.
Building machine learning algorithms for bidding - using classification and clustering to optimize campaign performance.
Leveraging artificial intelligence (GenAI) techniques to query data for intelligent insights and automated decision-making processes, unlocking hidden value from data.
Leading tasks from exploration to proof of concept (POC) and ensuring smooth transitions to scalable production environments.
Collaborating with data engineers and product managers to ensure the delivery of high-quality production results.
Creating and owning key metrics while developing new models and capabilities for innovative product solutions.
Optimizing scalability and ensuring the performance of data pipelines and ML models, handling large-scale, dynamic datasets.
Requirements:
Requirements:
5+ years of experience in data science, machine learning, or a related field.
Profound expertise in Python, SQL, and experience working with cloud-based ML pipelines.
Solid background in time series forecasting, clustering, classification, and predictive modeling.
Experience is performance marketing / AdTech / campaign management.
Experience managing large-scale datasets, coupled with a deep understanding of data pipelines, feature engineering, and model optimization.
Strong analytical mindset combined with business acumen - ability to translate data into actionable insights for real-world impact.
Demonstrated ability to work independently, take ownership of initiatives, and spearhead strategic data science projects from conception to execution.
Familiarity with deep learning, reinforcement learning, or generative AI.
Hands-on experience with cloud platforms (AWS, GCP, Azure) for machine learning deployment.
Excellent communication skills, with the ability to work closely with cross-functional teams and convey complex ideas to non-technical stakeholders.

How you will stand out from the crowd:
AWS ecosystem (SageMaker, Glue, Athena, Redshift, EMR) and Spark - an advantage.
This position is open to all candidates.
 
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06/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.
Requirements:
Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Data Science, or related field; a PhD is an advantage.
5+ years of experience in data science roles.
Proven expertise in classic machine learning algorithms and techniques, including regression, classification, clustering, and feature engineering.
Extensive hands-on experience with gradient boosting frameworks such as XGBoost, LightGBM, and CatBoost.
Demonstrated success in designing, deploying, and scaling Generative AI applications (e.g., LLMs) in real-world scenarios.
Strong programming skills in Python and proficiency with data science libraries (scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
Experience with cloud platforms (AWS, Azure) and MLOps tools for model deployment and monitoring in production.
Knowledge and experience in Databricks and Spark.
Ability to thrive in a fast-paced, collaborative, and innovative environment.
Experience in handling big data of billions of observations.
Preferred Skills:
Knowledge of data engineering and pipeline development.
Prior experience in fintech or the payments industry is a plus.
This position is open to all candidates.
 
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21/12/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.
Requirements:
Bachelors or masters degree in computer science, Data Science, or a closely related discipline.
Over 5 years of experience in software development and/or MLOps.
Strong proficiency in programming languages such as Python, Java, C++.
Deep understanding of cloud services architecture and the ability to create real-world applications that include telemetry, authentication, authorization, and security standard methodologies.
Proven track record of leading complex software projects from concept to delivery.
A "can do" attitude with exceptional problem-solving skills and the ability to thrive in fast-paced environments..
Strong problem-solving skills and ability to solve and resolve sophisticated issues in a timely manner.
Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams.
Attention to detail and a focus on quality, ensuring robustness and reliability in production ML systems.
Experience with Kubernetes architecture and management is a plus.
Ways to stand out from the crowd:
Exude high energy and a positive attitude.
Stellar verbal and written communication skills.
Passionate about data science and implementation.
Have data science and GPU performance experience.
Want to make what was impossible possible!
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a talented and mission-driven Data Scientist to join our growing Data organization. As a Data Scientist, you will own complex, high-impact projects end-to-end from research and experimentation through production deployment and monitoring.
You will develop and refine the machine learning models that power our personalization engine, engagement optimization, and clinical insights. Your work will directly shape the way millions of people experience their healthcare and improve their well-being.
Responsibilities
Lead end-to-end development of machine learning models, from research, data exploration, and feature engineering to training, validation, deployment, and post-production monitoring.
Partner closely with product managers, data engineers, and software engineers to translate strategic questions and user behavior patterns into measurable, data-driven solutions.
Research, prototype, and implement cutting-edge ML, deep learning, causal inference, and reinforcement learning techniques to tackle complex healthcare challenges.
Contribute to ML infrastructure and tooling to ensure scalability, reliability, reproducibility, and performance across all production workflows.
Drive innovation by exploring new approaches in Generative AI, LLM-based systems, and AI-agent architectures to enhance recommendation, engagement, and personalization capabilities.
Design, execute, and interpret A/B tests and other experimental methodologies to rigorously measure the impact of new models, product features, and interventions.
Collaborate, mentor, and share best practices to elevate technical excellence across the Data Science discipline.
Requirements:
3+ years of hands-on experience developing, deploying, and maintaining ML models in production environments.
Bachelors degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field.
Strong proficiency in Python, including experience with production-grade code practices, version control, testing, and reproducibility.
Deep understanding of statistics, probability, causal inference, and experimental design (e.g., hypothesis testing, A/B testing).
Expertise with ML techniques such as supervised and unsupervised learning, neural networks, clustering, regression/classification models, and causal modeling.
Experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, XGBoost, or LightGBM.
Strong analytical thinking and the ability to clearly translate data-driven insights into actionable business and product recommendations.
Excellent collaboration skills and the ability to work cross-functionally with engineering, product, clinical, and other stakeholders.
Advantage for Candidates With
Experience or strong interest in Generative AI, LLMs, or AI agent systems.
Familiarity with recommendation systems, reinforcement learning, or advanced causal inference.
Knowledge of cloud platforms (AWS, GCP, Azure), containerization tools (Docker, Kubernetes), and MLOps pipelines.
Experience working with healthcare or clinical datasets, including EMR or claims data.
This position is open to all candidates.
 
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14/12/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Data Researcher to join the AI Research Team and spread the power of our company. In this role, youll push the boundaries of data security and insight extraction in cloud environments. You'll be at the forefront of developing sophisticated methods to classify and secure sensitive data, addressing challenges like unstructured data and document files. Operate at a large scale and collaborate with some of the largest customers in the world.
WHAT YOULL DO
Develop advanced classification tools and methodologies to accurately identify sensitive data stored in cloud service providers like AWS, Azure, and GCP.
Research and analyze sensitive data, including the identification of Personally Identifiable Information (PII) and secrets such as passwords and API tokens, across both structured (e.g., JSON, CSV) and unstructured formats (e.g., code, text).
Identify and assess data security risks and use cases within cloud environments.
Collaborate with data scientists, engineering, and product teams to drive data-driven product decisions for large-scale projects, working closely with our biggest customers.
Leverage Large Language Models (LLMs) and advanced AI technologies to enhance data processing and analytical workflows, improving efficiency and accuracy.
Requirements:
Bachelor's or Master's degree in a field related to data science, such as computer science, statistics, or mathematics, or equivalent practical experience.
3+ years of hands-on experience in research and analysis of large datasets.
Proficiency in Python along with experience in using data science libraries and frameworks such as Pandas, NumPy, and Scikit-learn.
Strong understanding of database management systems with expertise in SQL and experience using data warehousing solutions such as Snowflake and BigQuery.
Excellent analytical, problem-solving, and critical thinking skills.
Demonstrated ability to address challenges associated with unstructured data and document files.
High motivation and capability to work both independently and collaboratively within a team.
Excellent English communication skills, both spoken and written.
ADVANTAGE
Experience with LLMs and prompt engineering.
Expertise in creating AI knowledge bases and implementing Retrieval-Augmented Generation (RAG) techniques.
Familiarity with developing agentic workflows to automate data processing and insights.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a skilled and motivated Data Science Team Lead to guide a team of talented data scientists in developing real-time, machine learning-based products. Youll play a key role in driving innovation - researching, designing, and deploying advanced ML models that directly enhance user experience and product performance.

This is an exciting opportunity for a hands-on leader who thrives in a fast-paced, impact-driven environment.

Responsibilities:

Lead, mentor, and inspire a team of data scientistsfostering a culture of collaboration, innovation, and technical excellence
Guide team members personal and professional development
Collaborate with product and engineering teams to identify challenges, uncover opportunities, and drive data-driven solutions
Recruit and retain top-tier talent as the team grows
Research and develop ML models using cutting-edge techniques across a range of domains
Generate new ideas and insights to improve performance and deliver business value
Requirements:
6+ years of experience as a Data Scientist, including building and deploying models that support live products
1+ year of experience in a leadership role (Team Lead / Tech Lead / Project Lead)
Master's degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or a related field
Proven track record of leading data science projects from concept to production
Proficiency in Python and standard data science tools and libraries
Strong problem-solving skills and the ability to choose the right ML approach for various business challenges
Excellent communication and collaboration abilities
A proactive, delivery-oriented team player
Experience working with large-scale data setsan advantage
This position is open to all candidates.
 
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31/12/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities
Requirements:
B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
Strong understanding and practical experience with various machine learning algorithms.
Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
Proficiency in data visualization libraries, to create meaningful visual representations of complex data
Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Advantages:
Experience in the fraud domain
Experience with Airflow, CircleCI, PySpark, Docker and K8S
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8481178
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17/12/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Architect and Evolve Data Infrastructure- Design and implement scalable data pipelines, Data Lakes, and Data Warehouses to support analytics, AI, and product intelligence.
Build and Deploy AI-Powered Systems- Operationalize AI/ML models- from prototyping to production-grade inference- ensuring performance, monitoring, and reliability.
Enable BI and Analytics- Collaborate with business and product teams to turn raw data into actionable insights, visualizations, and predictive metrics.
Ensure Data Quality and Governance- Establish standards for data collection, validation, lineage, and retention.
Leverage LLMs and AI APIs- Integrate modern large language models and external AI services for chatbots, insights generation, and automation use cases.
Collaborate Across Teams- Work closely with engineers, ML specialists, and product stakeholders to align data and AI architecture with business goals.
Requirements:
810+ years of experience in software, data, and/or AI systems architecture.
Proven experience designing and implementing data pipelines, ETL/ELT workflows, Data Lakes, and Data Warehouses.
Strong hands-on expertise with SQL and NoSQL databases.
Solid understanding of distributed systems and client-server architectures.
Understanding of real-time analytics and stream-processing architectures.
Experience deploying AI/ML models to production (wrapping inference services, monitoring performance).
Knowledge of streaming systems (Kafka, Pub/Sub) and workflow orchestration tools (Airflow, etc.).
Experience integrating LLMs or AI APIs into production products (chatbots, embeddings, recommendations).
Strong grasp of cloud environments (GCP, DigitalOcean, AWS, etc.) and container orchestration (Docker, Kubernetes).
Experience with BI/analytics workflows (e.g., BigQuery, Looker).
Excellent communication skills and proficiency in English (Intermediate+).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8462197
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