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At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
About the Team
We are seeking a highly skilled Senior Data Engineer to join our company's ML Data Group and help drive the development and optimization of our cutting-edge data infrastructure. As a key member of the company's ML Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer at our company's ML you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projectsfrom data exploration to deploymenthelping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecyclefrom problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

We are responsible for the research and development of advanced experimentation and Causal Analysis infrastructures to measure, understand and attribute features impact. We also own a comprehensive Data Warehouse, providing essential dashboards and analytics tools, including Gen-AI agents, to empower both Data Scientists and stakeholders throughout the organization.

Responsibilities
Develop and implement Measurement Methodologies and Evaluation Frameworks. Assess the performance, accuracy and groundedness of AI Agents, including the automated generation of synthetic training and evaluation data.
Work with various teams including software developers, data engineers and product managers, to define the requirements and implement Gen-AI models and solutions to drive innovation.
Translate complex technical concepts and investigative findings into clear, actionable insights for both technical and non-technical stakeholders.
Lead the design, development and deployment of Generative AI Agents for conversational driving-related experiences and scaling the ingestion, annotation and utilization of user generated contect and geospatial data feeds.

We are seeking a Senior Data Scientist to lead the development of personalization models that power our AI agents. In this role, youll design and deploy intelligent systems that understand each travelers preferences, intent, and behaviortransforming complex user journeys into effortless, hyper-personalized experiences.This is a high-impact, cross-functional role working closely with product managers, engineers, designers, and the AI/LLM platform team to create deeply personalized, autonomous travel assistance that feels like magic (but is all math and modeling underneath).
What Youll Do:
Design and build machine learning models that power personalization across our agentic platform, including traveler profiles, flights & hotels recommendation engines, and behavioral prediction systems.
Develop algorithms that adapt and learn from user behavior over time, channels, and modalities (text, voice, action).
Collaborate with PMs, engineers, and conversational designers to integrate ML into real-time decision loops, conversational agents, and proactive UX flows.
Own experimentation pipelines and performance evaluation, AB tests, offline metrics, and production agent behavior.
Work hands-on with structured and unstructured data (e.g., travel history, chat logs, user feedback, booking behavior) to extract insights and drive model improvement.
Define and maintain robust MLops practices: monitoring, retraining, feature pipelines, and real-time inference.
Stay current with the latest in recommender systems, LLM integration, embeddings, retrieval augmentation, and agentic reasoning to continuously evolve our approach.

Now, were evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.
This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.

If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship.

What youll do:
Architect metadata-aware data platforms that support scalable and observable pipelines.
Create and evolve knowledge graphs, schemas, and lineage tracking systems.
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering.
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.

We are looking for a Data Engineer to join our growing team!
In this role, you will be responsible for:
Designing, building, and maintaining scalable data pipeline architectures
Developing ETL processes to integrate data from multiple sources
Creating and optimizing data models for efficient storage and retrieval
Implementing data quality controls and monitoring systems
Collaborating with data scientists and analysts to deliver data solutions
Building and maintaining data warehouses and data lakes
Performing in-depth data analysis and providing insights to stakeholders
Taking full ownership of data quality, documentation, and governance processes
Building and maintaining comprehensive reports and dashboards
Ensuring data security and regulatory compliance.

Were looking for a Senior Data Product Manager to lead the strategy and design of B2B data products that empower our companys sales, marketing, finance, and customer success teams with intelligent, insight-driven tools. This role is key to transforming commercial and customer data into trusted, high-quality, and meaningful Data & AI solutions that unlock business growth, optimize the customer journey, and enable AI-powered decision-making.
You will partner with business & data professionals stakeholders to understand their data needs and design platforms & solutions that drive business value, leveraging cutting-edge Data & AI technologies. This is an opportunity to shape the future of data and AI at our company and make a lasting impact.
As a Senior Data Product Manager in our company you will
Own the strategy and roadmap for commercial-facing Data & AI products, delivering actionable insights across the customer journey to support demand generation, sales pipeline optimization, customer success, and account growth.
Translate business goals and analytical needs into clear data product and platform requirements that support our companys evolution into a truly data-driven organization.
Turn account data from across the B2B commercial funnel into intuitive tools, dashboards, and data services that help teams make smarter decisions and identify revenue opportunities.
Partner with AI and engineering teams to build GenAI applications that assist sales reps and CS managers with contextual, real-time recommendations, customer insights, and next-best-actions.
Define and drive the structure for core business entities such as accounts, products, and usersensuring consistency and clarity across all data products through strong master data foundations.
Collaborate with data governance, privacy, and legal stakeholders to ensure that data products are compliant, secure, and high-quality, while building confidence in the data across the business.

We are looking for a Data Engineering Lead to join our Platform Group at our company. 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 at our company you will...
Architect and develop data pipelines Lead the design and implementation of data pipelines that support our company's 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 company's 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.

Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows.

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows.

We are seeking a Senior Data Scientist to lead high-impact initiatives that drive business growth. As part of a highly data-driven organization, this role tackles some of the business's most complex and strategic challenges. You will apply advanced analytics, machine learning, and statistical modeling to uncover insights, optimize decision-making, and enhance strategies across marketing, customer experience, and operations. In this role, you will develop predictive models to forecast key business metrics and improve segmentation strategies. Additionally, you will refine marketing attribution models and collaborate with stakeholders to translate complex data into actionable recommendations that drive measurable outcomes. With direct influence on business strategy, you will have the opportunity to solve critical problems, drive innovation, and make a lasting impact in a fast-paced e-commerce environment.
We are looking for a curious and creative problem solver who thrives on tackling challenges with data. If you think beyond the obvious, leveraging analytics to uncover opportunities and drive innovation, and you are always learning, staying ahead of industry trends, and pushing the boundaries of what is possible in data science, then this is the opportunity for you.
What Youll Be Doing:
Identify and lead data science initiatives to solve business challenges drive strategic growth and implement advanced predictive models to analyze customer behavior, forecast lifetime value, and identify actionable opportunities
Use statistical and machine learning techniques to optimize marketing, personalize customer experiences, and enhance segmentation frameworks for targeted marketing efforts
Develop attribution models to measure the impact of marketing channels on conversions
Conduct time series modeling to forecast revenue and analyze business trends
Collaborate with cross-functional teams to understand business needs and translate data insights into actionable recommendations
Build scalable solutions for large-scale datasets and ensure models are production-ready
Continuously explore and implement emerging data science techniques and best practices to drive innovation.

We are looking for a brilliant, quick learner Data Engineer for our data engineering team - an independent, logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with a business orientation. It involves working closely with the analysts and the R&D team and directly affecting the company's cross-department decisions. Our Data Engineer should be able to speak in technical and practical terms and, more importantly, lead from one to the other while dealing with challenges and creating them to make our team even better.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines and ETLs in light of business requirements: from the source to the analyst's hands, enabling them the ideal conditions to make smart and data-driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions- in-house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline, and more.
Deep understanding of the business needs, technical requirements, and the companys roadmap, translating it into custom-made data solutions and scalable products.
Craft code following best practices to ensure efficiency while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources- Marketing, Operations, CS, Product, CRM, and more, tying them up to a valuable and useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards, monitoring, and reliability processes.

CodeValue is looking for a passionate and skilled Data Engineer to join our growing data team. If you're excited about designing robust data pipelines, working with modern cloud data stacks, and exploring the world of Generative AI – we’d love to meet you. This is a hands-on position where you'll build and optimize data infrastructure, collaborate with analysts and stakeholders, and help shape data-driven solutions for a wide range of clients and industries.

We are looking for a Senior Data Scientist with deep expertise in Large Language Models (LLMs), Deep Learning, and Neural Networks to join our Threat Research group, located in our Tel Aviv Office. Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.
Key Responsibilities :
Serve as the technical lead for projects involving LLMs, deep learning, and neural networks focused on cybersecurity applications.
Design, train, fine-tune, and deliver LLMs and advanced deep learning models for tasks such as anomaly detection, threat classification, and automated analysis of security data.
Drive hands-on research from ideation through prototyping to scalable production systems.
Collaborate with product and engineering teams to integrate advanced AI models into security solutions.
Analyze complex, high-dimensional security data (including text, logs, network traffic, and more) to identify emerging threats and attack patterns.
Mentor and guide other data scientists and contribute to the teams technical growth.
Represent in the AI and security communities through thought leadership, publications, presentations, and patents.