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We are looking for an R&D Group Lead to take ownership of the SaasLab group - leading multiple engineering teams responsible for the core platform services that every product of us depends on. You will drive the technical vision and execution or architectural transformation while ensuring the reliability and scalability of our SaaS foundation.

The position requires a strong architectural mindset, experience leading platform and infrastructure-level work, and the ability to balance long-term technical strategy with continuous delivery of business value.

What youll do:
Lead and mentor a group of engineers and team leads across multiple domains (core entities, access & API gateway, billing & integrations), fostering growth in design, architecture, and people leadership.
Own the SaaS platform end to end - ensuring high availability, security, and operational excellence of the systems that underpin every product.
Drive and execute an architectural transformation: decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like GraphQL Federation.
Work closely with product managers and cross-functional stakeholders, taking accountability for group deliveries and ensuring teams ship on time with excellent quality.
Lead technical initiatives, processes, methodologies, and architectural decisions across the group.
Drive AI Products development, SDLC and process improvements via cutting edge tools and methodologies.
Be a meaningful and major member of AFOS leadership team and influence the units engineering vision, processes, and culture

We are seeking a seasoned ASO Specialist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Develop and implement ASO strategies using textual and visual tools on App Store Connect and Google Play for multiple projects, localized in a broad range of languages
Prepare briefs for graphic and motion designers and closely collaborate with them to build engaging visual content (Icons, Promo Screens, Promo Video, Cover Images)
Formulate and test hypotheses to enhance conversion rates
Work with tools like App Store Connect, Google Play, and App Tweak for analytics
Conduct A/B testing in Apps Consoles
Provide regular updates on progress and effectiveness
Potentially, make small contributions to the projects social networks.

Were searching for a Senior Product Analyst to join our elite team and take our data game to the next level. In the past year alone, weve conducted over 200 A/B tests, and were just getting started.
If youre a data wizard who thrives on uncovering insights and driving product strategy, this is the role for you.
Want to hear more - check the song at the bottom of this page!
Responsibilities:
Own the end-to-end analytics process, from data collection to insight generation.
Identify trends, opportunities, and actionable insights to fuel our explosive product growth.
Create stunning data visualizations and reports that inspire cross-functional teams to make data-informed decisions.
Lead high-impact testing initiatives to validate hypotheses and shape product development.
Manage and optimize our robust data pipeline to ensure scalability as we continue to skyrocket.

What youll do:
Take full ownership of products and features, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.
Rise to the challenge of sharing your expertise with the wider tech community. Whether speaking at meetups/conferences, penning insightful blog posts, contributing to existing open-source projects, or releasing new open-source software, your voice will shape and inspire others.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

About The Position
Onsite and remote motion control application development and support, focusing on real time multi-axis motion programming and electromechanical performance optimization
Problem Solving: commissioning, troubleshooting, making things work
Prepare and deliver product demonstrations and technical presentations
Provide technical training Collaborate with R&D engineers to improve existing products and features as well as identify new features
Write application notes, white papers, articles
Build and maintain relationships with customers and partners.

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.

The SEO team leader will define and lead our SEO strategy to drive scalable organic growth across global markets for the core marketplace, with a strong focus on complex marketplace dynamics and US/global search opportunities. This role requires a strategic and hands-on leader who combines deep technical SEO expertise with a strong understanding of how search is evolving beyond traditional rankings into AI-powered discovery experiences. The ideal candidate is an experienced SEO and organic growth leader with a strong background in large-scale platforms or marketplaces, and a proven ability to operate in fast-moving, cross-functional environments. The SEO team leader will lead a team of SEO specialists while partnering closely with Product, Engineering, Analytics, Content, and Marketing to build scalable processes, shape roadmaps, prioritize high-impact opportunities, and connect organic growth efforts directly to business performance. In this position, you must be highly data -driven, deeply technical, and fluent in both classic SEO and emerging Generative Engine Optimization (GEO), including visibility across AI search experiences such as Google AI Overviews, ChatGPT, and other LLM-powered discovery surfaces.


What am I going to do?:

* Manage and lead the core SEO team, setting strategy and direction to improve organic search performance, AI-search discoverability, and measurable business outcomes across our marketplace.
* Own our SEO roadmap across technical SEO, on-site SEO, international SEO, and Generative Engine Optimization, ensuring the company is well-positioned for the future of search.
* Lead hands-on technical SEO initiatives at scale, including JavaScript SEO, crawlability, rendering, indexation, internal linking, structured data, Core Web Vitals, site architecture, and technical migrations.
* Partner closely with Product, Engineering, and Marketing to ensure SEO requirements and recommendations are properly prioritized, implemented, and Embedded into platform capabilities and release processes.
* Measure, analyze, and communicate the impact of SEO and GEO initiatives using clear business metrics, translating organic growth work into marketplace and company value.
* Stay ahead of industry developments across SEO, technical search infrastructure, search engine algorithm changes, and AI-powered search experiences, while continuously raising the knowledge level of the team and broader organization.
Equal opportunities:
we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

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.