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As a Senior Research Scientist, AI & Data Systems at Eon Research, you will conduct applied research at the intersection of AI, data systems, and large-scale storage. you will explore challenging technical problems, publish research in leading peer-reviewed venues, file patents, and translate research breakthroughs into production-ready product capabilities.

This role is ideal for a researcher with a strong publication record, deep expertise in a relevant research area, and experience bringing research into real-world products.

Research Areas
Query Processing and Query Engines: Query optimization and execution over columnar and lakehouse formats, including Apache Iceberg and Parquet, as well as approximate query processing using sketches and synopses.

Storage Systems: Deduplication, compression, and data layout optimization for large-scale storage.

Data Integration and Discovery: Entity resolution, schema matching, table joinability, and data discovery, including the use of LLMs as judges.

Information Retrieval and RAG: Retrieval-augmented generation over enterprise data, including emails, documents, and databases.

LLM Evaluation and Benchmarking: Evaluation frameworks and benchmarks for LLM agents working with enterprise data.

LLMs for Software Engineering: CI failure diagnosis, automated debugging, and program repair.

Were looking for a strong, experienced developer, someone who has built real systems, understands production, and takes ownership end to end.



In this role, you will:

Build and maintain backend services in Node.js at a production level
Develop modern frontend applications using React or Vue
Own features end-to-end from design to production
Work closely with product, data, and design teams
Improve performance, reliability, and code quality
Write clean, maintainable, production-grade code

we are looking for a Data Operations Team Lead.
The Data Engagement team is the connective link between GTM and R&D/Product organizations. The team leads customer and prospect data initiatives using internal tools, and drives product improvements based on patterns and issues analysts identify in their day-to-day work.
What you'll do:
Own execution of the team's initiatives - ensuring efforts are properly resourced, tracked, and delivered within required timeframes.
Play a key role in prioritizing data resources across company-wide efforts, working closely with stakeholders across R&D, Product, Customer Success, and Sales.
Lead and develop a multidisciplinary team of highly skilled analysts.
Build strong partnerships with Product and CS leaders, acting as their trusted data advisor to help achieve shared business objectives.

were looking for a passionate Tech Lead to join our collaborative team.

Youll be at the forefront of innovation-designing scalable solutions, guiding architecture, and driving technical excellence as we deliver world-class experiences to millions of sports fans around the globe.

Responsibilities
Design robust APIs and services for a vast user base
Architect and guide performance optimization, security, and scalability strategies
Analyze and process large datasets in near real-time to deliver insight
Oversee data pipelines that power real-time push notifications for a global user base
Provide a technical specification for complicated features
Support development team, delegate tasks, and resolve technical blockers
Perform code reviews to ensure best practices are followed and offer constructive feedback for continuous improvement.
Ensure high code quality, maintainability, and test coverage (unit/integration tests)
Own the delivery of releases all the way to production
Help manage hiring process and onboarding of developers

As a Senior Data Scientist , you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.

Responsibilities
Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)
Build end-to-end ML pipelines - from data ingestion and model training to serving, monitoring, and incident response
Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact
Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance
Maintain and improve real-time models that adapt to incoming data and feedback signals
Mentor junior team members on ML best practices and production standards

This is not a traditional, hands-off management role. You will be a hybrid builder, someone who started in frontend web development (HTML, CSS, JS) and has a sharp eye for conversion rate optimization (CRO) and design. You will work directly with performance marketing stakeholders, brand managers, and design teams to take brief requirements and personally build, code, and launch innovative landing pages directly inside our Sitecore CMS framework.

By aggressively utilizing cutting-edge AI generation tools, you will act as a force multiplier-rapidly executing layouts, copy variations, and functional tests on your own without waiting for central development queues.

Responsibilities
End-to-End Page Creation: Take a campaign brief from marketing or a concept from design and personally build, format, and publish the landing pages directly inside the CMS. You are the solo owner of the execution phase.
AI-Powered Assembly & Coding: Actively use modern AI tools to generate high-performing frontend code, write clean copy variations, and assemble layouts at lightning speed.
Cross-Functional Collaboration: Partner directly with Performance Marketing teams to understand campaign goals, and with Brand/Design teams to ensure every page is visually stunning and strictly compliant, all while optimizing for maximum conversion drop-offs.
Hands-on Front-End Customization: Know exactly when to build modularly using design system components for speed, inject raw optimized HTML/CSS for quick validation, or configure interactive elements for deeper user engagement[cite: 1, 2].
A/B Testing Implementation: Personally set up, deploy, and monitor multivariate tests down the funnel to continuously lift registration and first-time deposit metrics.

As a hands-on individual contributor, you will act as the primary technical expert for the marketing department when data discrepancies or tracking failures occur (e.g., missing conversions, Meta Ads signal drops, or AppsFlyer event mismatches). This position requires a proactive professional who uses SQL and data warehouse environments to identify and resolve anomalies before they impact reporting.

This is a dedicated technical specialist role focused entirely on deep ownership of data infrastructure and troubleshooting, without people-management responsibilities.

Responsibilities
Production Support & Troubleshooting

Own the end-to-end resolution of tracking and signal-delivery incidents (detection, root cause analysis, remediation, and documentation).
Diagnose data discrepancies across three distinct delivery paths: client-side GTM tags, Server-to-Platform CAPI, and reverse ETL.
Address and resolve brand- or country-specific tracking constraints, including regulatory and consent requirements.
Data Quality & Analysis

Conduct regular audits of event and conversion data across major platforms (Google Ads, Meta Ads, GA4, AppsFlyer, TikTok, and programmatic partners) to prevent attribution distortions.
Utilize SQL within Snowflake to validate that events sent via CAPI and reverse ETL match system specifications.
Document technical incidents and resolutions in clear, actionable reports for both technical and non-technical stakeholders.
AppsFlyer & GTM Ownership

Manage configurations and serve as the primary subject-matter expert for AppsFlyer and Google Tag Manager (both client-side and server-side) across all brands.
Partner with the internal GA4 team on cross-functional data issues (without holding direct responsibility for GA4 configuration).

we are looking for a Sr Staff Product Manager - Network Security.
What you'll do:  
Lead product strategy and its roadmap to achieve its goals
Be the market expert: The enterprise customers needs and the competitive landscape
Prioritize and define product backlogs that align with complex enterprise business goals and security strategies
Work closely with engineering teams to deliver high-scale features effectively and efficiently
Proactively engage enterprise customers, CISOs, and internal stakeholders to validate planned scope and definitions throughout the product life cycle
Integrate usability studies, research and market analysis into product requirements to enhance user experience
you will innovate, design, execute, lead your product, and be the focal point of all product-related issues, inbound and outbound, bridging between R&D and various stakeholders in the company: sales and presales, customer success, operations, marketing among others.

a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

Required PHP Backend Software Engineer
About the opportunity:
As a backend software engineer, youll become a valuable member of an innovative and fast-growing department, working in a truly Agile environment. You will build FinTech products that help our clients as well as our internal departments to expand our ecosystem and make an impact on our business daily.
We believe that developers should take full ownership of their work: from the initial feature planning phase alongside Product and Design; choosing the right technologies, designing the code and architecture; coding; PRing; and all the way to actual deployment in CI/CD environment, as well as post-deployment monitoring. It is all your responsibility.
Whether you enjoy writing complex business logic in the backend, take pleasure in writing clean and high-quality code, or tweaking infrastructure to perform well at scale, we encourage you to get your hands dirty end-to-end.
Collaborate with the rest of the engineering and product managers teams to design and launch new features end-to-end.
Our Stack:
PHP 7, Laravel, MariaDB, AWS, RabbitMQ, Docker, Elasticsearch, Redis, Linux.

We are seeking a seasoned Backend Tech Lead with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

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.

We are seeking an experienced Senior DevOps Engineer to build and maintain the critical infrastructure that powers our multi-platform development pipeline, from cloud-based development environments to embedded automotive systems.
This role combined traditional cloud infrastructure, embedded systems tooling, and safety-critical automotive software deployment.
You will work closely with our embedded systems, software, and quality teams to enable rapid, reliable, and traceable releases across multiple customer programs (VinFast, JoyNext, and internal platforms).
Responsibilities:
Expert in infrastructure cost optimization, cloud resource management, and identifying opportunities to reduce operational expenses without compromising performance or reliability
Design, implement, and maintain CI/CD pipelines using GitHub Actions, supporting multi-repository development workflows and versioned manifest-based releases
Build and optimize cloud infrastructure for development, testing, and OTA (Over-The-Air) deployment pipelines (x86-based build systems, container orchestration, monitoring, and observability)
Establish and enforce DevOps best practices for safety-critical automotive software (ISO 26262, AUTOSAR, traceability, audit logs, change management)
Collaborate with embedded systems teams to ensure deterministic, bit-identical builds across different platforms and environments
Troubleshoot and resolve infrastructure issues affecting development velocity and production systems

As a Sr Product Manager, you will lead a dedicated cross-functional pod responsible for a specific area of the VantagePoint platform. You will own the pods product strategy, roadmap, discovery and delivery-working closely with engineering, product design and business stakeholders to solve meaningful customer problems and deliver measurable outcomes.

This is an individual-contributor role with significant product ownership. You will lead through influence and shared direction rather than through direct people management.

Focus of the Role
Lead the product direction and day-to-day execution of a dedicated VantagePoint pod.
Develop a deep understanding of the pods customers, users, market and business objectives.
Translate customer and business needs into a clear product strategy and prioritized roadmap.
Create alignment across engineering, design and commercial teams.
Deliver product improvements that support customer satisfaction, adoption, retention and revenue growth.
Key Responsibilities
Product Strategy
Own the product strategy and roadmap for the VantagePoint capabilities within your pod.
Work with product leadership and relevant department leaders to ensure the pods direction supports the wider company and product vision.
Identify customer problems, market opportunities and product improvements through research, data and stakeholder feedback.
Build clear business cases and define the expected customer and commercial outcomes of product initiatives.
Communicate priorities, decisions and trade-offs clearly across business functions and geographies.
Discovery and Execution
Lead the pod through the full product lifecycle, from problem discovery and validation through delivery, launch and iteration.
Define the customer problems to solve and establish measurable goals for each initiative.
Partner closely with engineering and product design to develop effective, usable and technically viable solutions.
Ensure product requirements, user stories, designs, acceptance criteria and dependencies are ready for development.
Facilitate prioritization and make informed trade-offs across customer value, business impact, technical effort and risk.
Conduct customer interviews, usability studies, market analysis and competitor research, independently and alongside product design.
Monitor delivery progress, manage product risks and communicate changes to scope or expected delivery dates.
Continuously improve the pods ways of working to support effective discovery, decision-making and delivery.
Analyze product performance and use insights to guide future improvements.
Pod Leadership
Provide clear product direction and maintain alignment across the cross-functional pod.
Create a shared understanding of the pods goals, priorities and measures of success.
Lead through influence, strong communication and sound product judgment.
Become a subject-matter expert for the pods area of the VantagePoint platform.
Represent the pod and its product area with internal teams, customers and other external stakeholders.

We're looking for passionate, talented people who want to be part of a winning team. You'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you.

We are currently expanding our R&D center in Tel Aviv, where we are building advanced data systems, automation infrastructure, and intelligent workflows that power our products and enable the next wave of innovation in advertising technology.

This role focuses on building reliable data systems and automation infrastructure, while helping us introduce AI-driven and agentic automation capabilities that improve how our engineering and data platforms operate.

What You Will Do
Design and build backend services using Node.js and TypeScript.
Develop and maintain data pipelines and automated workflows.
Work with Snowflake, MongoDB, and large datasets.
Improve reliability and performance of data processing systems.
Build and maintain automation infrastructure that supports data and platform operations.
Design systems that help automate engineering and data workflows.
Write unit and integration tests for backend services and workflows.
Collaborate with analysts and product teams to translate complex workflows into scalable systems.
Participate in improving engineering standards, testing culture, and development practices.
Drive the next generation of automation across the platform by designing AI-driven and agentic workflows that enhance how our engineering and data systems operate.

Your Day-to-Day Work
Developing backend services and APIs.
Optimizing queries and data processing workflows.
Building reliable systems for processing large-scale data.
Designing and implementing automation processes across data and engineering workflows.
Supporting AI-driven and agentic automation initiatives across internal systems.
Writing automated tests to ensure system stability.
Collaborating with engineers in Israel and global teams.