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We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do:
Build Client-Facing Features: Design and implement high-scale product features for our premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

Were looking for a Data Analyst to join the Protect360 algorithms team and play a key role in researching fraud patterns, analyzing large-scale data, and supporting the development and monitoring of fraud-detection algorithms.
This role is highly R&D-oriented, with deep involvement in data exploration, algorithm analysis, and close collaboration with data scientists, engineers, and product partners.

A partial list of our tech stack includes: SQL, Python, Looker, BigQuery, AWS services, Airflow, and more.

What you'll do:
Analyze large, complex datasets to identify fraud patterns and emerging threats.
Design and write high-performance SQL queries for large-scale data analysis.
Use Python for data analysis, exploration, validation, and workflow automation.
Support the development, evaluation, and monitoring of fraud-detection models.
Build analytical tools, reports, and dashboards to track algorithm performance and fraud trends.
Collaborate with data scientists, engineers, and product managers on R&D initiatives.
Translate business and product questions into data-driven insights and recommendations.

As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.

We are looking for a software engineer to join our core model team!
The role of the core model team, within the Business Data & Dev group, is to own and maintain the services and business workflows that manage AppsFlyer accounts lifecycle, while ensuring that our customers have a smooth and reliable user experience.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

What youll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

For over two decades, our company has mastered the art of real-time data. Weve built platforms that power the worlds most demanding systems, shaping how organizations grow their business with data-driven services. We have pioneered technologies that optimize data-driven services working with global organizations including American Airlines, Morgan Stanley, CSX, Goldman Sachs, Société Générale, Credit Agricole and more. As pioneers in data-tech, we are building on our DNA in real-time operational data to deliver cutting-edge GenAI solutions that empower businesses to unlock the full potential of their structured data and transform how they interact with information.
This position is full time, hybrid and located in Herzeliya.
Key Responsibilities:
Act as the primary data expert for customer onboarding, ensuring accurate data understanding and integration.
Partner with customers to understand their business logic and translate it into actionable data mappings within the platform.
Perform deep SQL analysis on raw datasets to validate structures, uncover issues, and ensure data integrity.
Identify gaps, inconsistencies, and edge cases, and proactively propose corrective actions.
Analyse customer usage data to identify trends, adoption challenges, and opportunities for improvement.
Create data-driven reports and visualizations that communicate findings clearly to both technical and business audiences.
Work cross-functionally with R&D, Product, and QA to ensure smooth data onboarding and accurate system behaviours.
Manage multiple onboarding and data-integration projects simultaneously, maintaining clear timelines and communication.

we are seeking a motivated and results-driven Sales Development Representative (SDR) to join our dynamic team in the USA. In this role, you will be instrumental in driving growth by identifying and developing new business opportunities, qualifying leads, and setting appointments for our sales team. As an SDR, you will utilize your excellent communication and interpersonal skills to build relationships with potential clients and contribute to the overall success of our company innovative solutions.
Responsibilities:
Identify and research potential leads through various channels including social media, online platforms, and networking events.
Qualify leads by conducting initial outreach via phone calls, emails, and social media to assess their needs and interests.
Schedule meetings for the sales team with qualified leads to drive the sales process forward.
Maintain accurate records of lead interactions and sales activities in the CRM system.
Collaborate with the sales and marketing teams to develop effective outreach strategies.
Meet and exceed monthly and quarterly lead generation targets.
Provide feedback to improve the sales process and lead generation strategies.

We are seeking an experienced and passionate Senior Full-stack Software Engineer to join our dynamic team. In this role, you will support the development effort of a full-stack team and guide and mentor the other team members. The ideal candidate combines strong technical expertise in modern frontend frameworks with solid backend knowledge, enabling you to guide the team end-to-end. You will play a key role in driving team velocity, fostering best practices, and delivering reliable, scalable, and user-centric applications.
Responsibilities:
Guide the team in building scalable, reliable applications using cloud infrastructure.
Share knowledge and best practices across the R&D department.
Support backend development efforts in Golang and Node.js
Support frontend development efforts with React & TypeScript
Drive continuous improvement in team velocity and delivery quality.
Coordinate with cross-functional teams to align development efforts.
Partner with product managers, designers, and backend/core teams to deliver seamless user experiences.
Contribute to company-wide technical initiatives.
Collaborate on design and implementation of new features and services.

We are expanding multiple teams across our ML SW stack and look for hardworking and motivated people to join our team. Working with the worlds best companies that build sector-leading products based on our designs. Youll share ideas with and learn new skills from the best engineers in the world. We work in small teams, and your contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!

Responsibilities:
You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework SW, kernel/user space driver stack, real time embedded software, test automation, and performance evaluation. As an experienced engineer you are expected to be able to take the lead on larger work-packages and mentor more junior engineers. You will also be working closely with the ML HW team to achieve optimal system partitioning.

We are looking for you who have strong analytical skills, the eagerness to find innovative solutions to sophisticated problems, and are comfortable working in a fast-paced and dynamic environment. You possess excellent interpersonal skills cooperating closely in diverse teams, striving together to fulfil common targets.

We are looking for an experienced Software Engineer to join our team with a focus on services and infrastructure development, while being comfortable contributing across the full software stack when required.

This role is well suited to an engineer who enjoys designing and building scalable backend services, integrating them with infrastructure platforms, and contributing to end-to-end solutions that support sophisticated engineering workflows. While some components may include frontend elements, the primary emphasis is on service architecture, APIs, data handling, and system reliability.

In this role, you will collaborate closely with engineers and partners across the organization to design, deliver, and evolve maintainable solutions that underpin GPU software engineering infrastructure. You will also contribute to technical direction, mentor others, and help shape the long-term evolution of our platforms.

Responsibilities:
Design, develop, and maintain scalable backend services using Python, Go or similar languages, with the ability to contribute to full-stack solutions where appropriate.
Take ownership of services across their lifecycle, from design and implementation through deployment and production support.
Design and evolve APIs and service interfaces that support tooling, automation, and infrastructure workflows.
Contribute to end-to-end feature development, spanning backend services, APIs, and selective frontend components where they support infrastructure use cases.
Collaborate closely with teams across tooling, automation, and infrastructure to ensure seamless service integration.
Improve system reliability, performance, and scalability through thoughtful design and continuous optimization.
Contribute to infrastructure modernization initiatives, including cloud-based and containerized deployments.
Follow and promote standard methodologies for code quality, testing, documentation, and design reviews.

We are looking for an AI-first Software Engineer who is highly product-oriented and excited about building customer-facing systems using modern AI tooling to dramatically increase development speed and operational automation.
What youll do?
Build and ship end-to-end product features (backend, frontend, integrations, automation).
Use AI tools and build the AI infrastructure to accelerate development through scalable workflows, including multi-agent approaches.
Build AI agents that fully automate customer-facing sales and service flows, in a business with a massive volume of textual interactions.

Required Backend Developer (C# or Java)
Location: Petach Tikva
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

We are expanding multiple teams across our ML SW stack and look for hardworking and motivated people to join our team. Working with the worlds best companies that build sector-leading products based on our designs. Youll share ideas with and learn new skills from the best engineers in the world. We work in small teams, and your contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!

Responsibilities:
You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework SW, kernel/user space driver stack, real time embedded software, test automation, and performance evaluation. As an experienced engineer you are expected to be able to take the lead on larger work-packages and mentor more junior engineers. You will also be working closely with the ML HW team to achieve optimal system partitioning.

We are looking for you who have strong analytical skills, the eagerness to find innovative solutions to sophisticated problems, and are comfortable working in a fast-paced and dynamic environment. You possess excellent interpersonal skills cooperating closely in diverse teams, striving together to fulfil common targets.

We are looking for a detail-oriented and proactive Business Data Analyst who is passionate about transforming data into actionable insights. This role involves working closely with cross-functional teams to support data-driven decision-making in a fast-paced environment.

Youll play a key role in shaping data strategy and delivering insights that impact global business decisions.



Key Responsibilities:

Collect, process, and analyze data from various sources to drive business performance.
Design and build interactive Power BI dashboards and reports.
Collaborate with business stakeholders to understand data needs and translate them into analytical solutions.
Identify trends, correlations, and insights to inform strategic decisions.
Maintained and optimized data models, reporting pipelines, and documentation.

Were looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What Youll Do:
Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
Develop and deploy statistical and machine learning models to production
Create scalable data pipelines and APIs that serve real-time analytics
Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

We're looking for a Data Engineer with 4+ year experience to join our Data Engineering team and help us build and scale our production-grade data platform. You'll work on high-performance systems built on self-hosted ClickHouse, optimize complex data pipelines, and collaborate closely with Product, Analytics, and Infrastructure teams to deliver reliable, fast, and scalable data solutions.

This is a hands-on technical role where you'll have a significant impact on how we ingest, model, store, and serve data that powers our analytics and AI-driven products.
Youll play a key role in shaping the direction of our data platform and have meaningful ownership over critical components of our architecture.

What You'll Do:
Data Modeling & Architecture
Design and evolve data models that reflect business logic and support analytical use cases
Collaborate with the BI and Analytics teams to understand data requirements and translate them into efficient schemas
Performance Optimization
Optimize ClickHouse schemas, partitioning strategies, indexing, and compression
Profile and tune slow queries to improve performance and reduce costs
Implement systems that ensure data quality, consistency, and operational efficiency (e.g., deduplication, validation, anomaly detection)
Monitor pipeline health, data freshness, and query performance with appropriate alerting mechanisms
SQL Compiler Development
Develop and maintain the SQL Compiler layer that translates high-level queries into optimized ClickHouse execution plansImplement query optimization and rewriting strategies to improve performanceDebug and resolve compiler issues to ensure accurate and efficient query translation

Data Pipeline Development & Collaboration
Review and advise the Integration team on pipeline architecture, performance, and best practices.
Provide guidance on data modeling, schema design, and optimization for new data sources.
Troubleshoot and maintain existing pipelines when issues arise or optimization is needed
Ensure data freshness, reliability, and quality across all ingestion pipelines.
Collaboration & Support
Work closely with the Integration team to ensure smooth data ingestion from new sources.
Partner with Infrastructure to support high availability and disaster recovery
Support other teams across the company in accessing and using data effectively.