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Required Big Data Engineering Lead
As a Big Data Engineering Lead within our Data & AI Department, you will play a pivotal role in designing, implementing, and optimizing Data & GenAI solutions that empower innovation and enable intelligent decision-making across our organization. In this role, you will lead the design of our future-proof data platform, ensuring it is scalable, open, extensible, high-performing, private & secure. You will also play a pivotal role in designing, implementing, and optimizing GenAI solutions related with data domain that drive innovation and enable intelligent decision-making. You will partner with engineering & business stakeholders to understand their data needs and deliver technological solutions that drive business value, leveraging cutting-edge AI technologies and robust data strategies. This is an opportunity to shape the future of data and AI and make a lasting impact.
As a Big Data Engineering Lead you will...
Lead the design and development of our petabyte-scale Lakehouse and modern data platform, drive architectural decisions, and provide technical leadership to ensure it meets scalability, performance, privacy, and security requirements.
Collaborate closely with top-notch engineers in implementation efforts to ensure alignment with architectural vision, tackle tough problems, and deliver creative solutions.
Provide hands-on expertise through platform development and conduct architecture proof-of-concepts to validate and recommend tools, technologies, and design decisions.
Promote the adoption and utilization of the data platform by collaborating with stakeholders to identify impactful use cases, developing enablement resources, and ensuring the platform delivers measurable business value.
Evaluate and recommend tools and technologies to support & proliferate Data & AI-driven decision-making and make data production and consumption widespread.

We are looking for a Data Engineering Lead to join our Platform Group.
In this role, you will drive the development of scalable data pipelines and infrastructures that are crucial to our platforms success. You will collaborate across departments, and innovate to ensure our data ecosystem is robust, secure, and optimized for growth.
As a Data Engineering Lead you will...
Architect and develop data pipelines Lead the design and implementation of data pipelines that support our platform, ensuring high data quality, security, and governance. Introduce new tools and technologies to enhance data workflows and integration
Develop a strategic roadmap that outlines key engineering solutions to support our platforms scalability and performance, aligned with our overall vision and objectives
Collaborate across teams Work closely with internal teams including DevOps, BI, Product, and development groups to ensure seamless data integration and drive data-driven decision-making across the organization
Establish data guidelines and documentation Define best practices for data generation, consumption, and management within the platform. Create thorough documentation for all data processes to facilitate clear communication and future maintenance.

We seek a hands-on, innovative Data Science Senior Manager to lead the CIOs AI team.
Reporting directly to the VP of Data & AI, you will play a pivotal role in building AI capabilities that deepen our understanding of customer journeys, improve engagement across our channels, enhance conversion rates, and optimize the commercial pipeline.
In this high-impact role, you will spearhead the research, implementation, and operationalization of advanced AI and machine learning solutions. You will lead efforts to drive innovation by developing and implementing cutting-edge technologies in areas such as predictive analytics, NLP, and Gen AI.
As a Data Science Senior Manager you will...
Define and lead the strategic direction for AI and machine learning internal initiatives while collaborating closely with the CTO, marketing, sales, and customer success teams to align projects with broader business goals and deliver measurable outcomes.
Mentor and manage a team of machine learning researchers, creating a collaborative and innovative environment that fosters technical excellence and professional growth.
Take a hands-on approach in research and development of AI solutions, actively contributing to technical execution alongside the team.
Leverage generative AI to develop agentic AI solutions that enhance data exploitation, content creation, customer engagement, and operational efficiency in the context of our business goals.
Research and operationalize machine learning models for prediction, recommendation, and optimization, driving customer behavior forecasts, sales pipeline improvements, and marketing efficiency across the B2B sales lifecycle.
Apply data science techniques to analyze and interpret complex datasets, extracting actionable insights to support data-driven decision-making in our B2B SaaS offering.

We're looking for highly talented, experienced, passionate, and data-driven DataOps/ Analytics Engineer.
This role bridges the gap between data engineering and analytics teams, focusing on the orchestration, maintenance, and optimization of our analytics infrastructure.
Responsibilities:
Orchestration Pipelines: Design and manage data orchestration pipelines using Dagster.
Data Modeling: Develop and enforce guidelines and standards for data modeling in dbt, ensuring comprehensive documentation and adherence to best practices.
Data Warehousing: Maintain and optimize our BigQuery data warehouse, focusing on performance monitoring, cost management, and data quality.
Data Catalog Management: Enhance and maintain our Data Hub data catalog.
CI/CD Management: Implement CI/CD processes, orchestration pipelines, and automated data quality monitoring to streamline workflows and reduce manual interventions.
Infrastructure Management: Utilize Kubernetes for hosting, and manage associated tools such as Elasticsearch and Grafana.
Data Quality: Implement and monitor data quality processes, including alerting and reporting mechanisms.
Development Workflow Optimization: Improve and maintain development workflows to ensure efficient and seamless data product delivery.
Collaborative Design: Work alongside business users and data analysts to design and build data models that enhance data discovery and analyses.
Standards and Best Practices: Contribute to internal standards for style, maintainability, and best practices for a high-scale data infrastructure.
Documentation and Scalability: Maintain documentation, manage technical debt, and ensure scalability of infrastructure.

We are looking for a Customer Data Engineer.
As a Customer Data Engineer, you will be a part of a strong energetic, and fast-growing global team. You will be an integral part of clients' onboarding and ongoing data requests and projects. You will be working closely with internal PM and CSM teams as well as interacting directly with clients data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease. 
The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech. 
Responsibilities:  
​Develop and support a wide range of data transformations and migrations 
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures 
Investigate data mismatches and apply solutions 
Work side by side and support the Customer Success teams in order to meet customer business needs. 
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution. 

As the Vice President of Data, you will define and drive the companys data vision, leading the strategy and execution across Data Product, Data Science, and Data Analytics. This is a critical leadership role that will
shape how we use data to generate insights, power our SaaS platform, and drive business value across the organization. Youll report to senior leadership and play a key role in shaping our product, operations, and
go-to-market teams through data.
Key Responsibilities
Define and champion a unified data vision aligned with business goals.
Serve as a strategic leader and key voice in company-wide decision-making through data.
Partner cross-functionally with Product, Engineering, Marketing, Sales, Customer Success, and Finance.
Lead three key functions: Data Product Develop analytics tools, embedded dashboards, and usage insights, Data Science Drive predictive modeling, experimentation, and AI/ML features. and Data Analytics Deliver scalable reporting and actionable intelligence across departments.
Guide team leads, define org structure, and support ongoing hiring and mentoring efforts.
Build and promote a data-driven, high-impact culture.
Foster transparency, curiosity, and continuous improvement across the team.
Lead post-mortems, quality audits, and key roadmap reviews.
Set and track key metrics: business impact, delivery velocity, system stability, and data integrity.

Were looking for an experienced data engineer to join our team and help lead the development of our data platform. If youre passionate about big data and love solving complex data problems at scale, come join the team!
What you'll do:
Take a leading part in the companys data strategy, designing and building data flows and data pipelines from scratch
Maintain and improve existing data pipelines and aggregation processes ingesting petabytes of data on a daily basis
Work closely with our data analysts, data scientists and engineering teams to define and optimize ways we use our data
Be the go-to person for every data related issue, assisting most teams within R&D.

The Account Defender team at our company is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
Were looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power our companys real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
Lead end-to-end research projects to detect fake users and account takeovers from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
Help shape the teams detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.

Senior Security Data Analyst Client Side Protection
Join our Code Defender team as a Security Data Analyst, where you'll have ownership over the product's detection framework and lead data-driven processes to enhance and refine our security capabilities. Code Defenders mission is to detect and defend against client-side JavaScript threats like Magecart attacks, while helping our customers stay compliant with evolving security and privacy standards. This role requires a proactive and analytical professional dedicated to advancing Code Defenders detection infrastructure and metrics.
What Youll Do:
Detection Framework Ownership: Own and continuously evolve Code Defenders detection framework, leveraging data-driven processes to maximize detection accuracy and efficiency.
KPIs Dashboards Development: Design, develop, and maintain KPIs and dashboards that showcase Code Defenders performance and inform product strategy.
Detection Mechanism Innovation: Research, design, and enhance detection mechanisms to stay ahead of emerging client-side threats.
Cross-Team Collaboration: Work closely with the technical research and development teams to support end-to-end product improvements and drive a unified approach to detection enhancement.

We are looking for a Data Engineer.
The Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the product.
Explore and implement new data technologies to support data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.

The Account Defender team at our company is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
Were looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power our companys real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
Lead end-to-end research projects to detect fake users and account takeovers from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
Help shape the teams detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.

Senior Security Data Analyst Client Side Protection
Join our Code Defender team as a Security Data Analyst, where you'll have ownership over the product's detection framework and lead data-driven processes to enhance and refine our security capabilities. Code Defenders mission is to detect and defend against client-side JavaScript threats like Magecart attacks, while helping our customers stay compliant with evolving security and privacy standards. This role requires a proactive and analytical professional dedicated to advancing Code Defenders detection infrastructure and metrics.
What Youll Do:
Detection Framework Ownership: Own and continuously evolve Code Defenders detection framework, leveraging data-driven processes to maximize detection accuracy and efficiency.
KPIs Dashboards Development: Design, develop, and maintain KPIs and dashboards that showcase Code Defenders performance and inform product strategy.
Detection Mechanism Innovation: Research, design, and enhance detection mechanisms to stay ahead of emerging client-side threats.
Cross-Team Collaboration: Work closely with the technical research and development teams to support end-to-end product improvements and drive a unified approach to detection enhancement.

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team. This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used. You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.

Responsibilities:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

A leader in customer experience (CX) automation. With the experience we gained over the last 30 years, we help the worlds most iconic brands use the Verint Open Platform and our team of AI-powered bots to deliver tangible AI business outcomes across the enterprise.
Our solutions are used by approximately 10,000 organizations in over 175 countries across a diverse set of verticals, including financial services, healthcare, utilities, technology, and government.

site in Herzliya is one of the most significant Verints R&D centers worldwide. We are part of a successful global organization and enjoy being a dynamic local site of 200 passionate and creative experts. Our teams move fast in a flexible hybrid model, and utilize cutting-edge technology such as AI & AI-Powered Bots, Machine Learning, NLP, and Speech & Text Analytics to elevate customer experience.

The Growth Markets business team, managed from the Israeli site, is experiencing significant growth in promoting and selling AI business outcomes.

We are looking for a Technical Business Analyst to support our Pre-Sales / Consultancy / Proof of concept efforts, helping our customers to gain ROI with our self service solutions and our Analytical tools.

Responsibilities
Let's talk about you:
Business acumen and strategic understanding of the data sources and confidently deliver their interpretation and recommendations for improvement to stakeholders.
Analyzing and recommending employees/agents improvements, process enhancements or development, and/or technology enhancement recommendations that will positively impact the experience of the customer and professional workforce.
Manage and conduct all phases of in-depth analysis: compilation, validation, analysis, and presentation to business leadership at their premises.
Responsible for maximizing the utilization and capabilities of the Verint VOC Solution to drive meaningful intelligence, actionable insights and quantifiable improvement into the business through the creation of use cases to include the following: building of categories, reports, and dashboards for consumption of business leaders.
Bias for action and a driver for results. Self-starter who looks for opportunities to connect and partner across Customer Care and drive improvement.