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our company is seeking an AWS Solutions Architect We are looking for a skilled AWS Solutions Architect to design, validate, and deliver scalable cloud solutions for enterprise customers. This role combines deep technical expertise with customer-facing consulting, helping organizations architect secure, resilient, and cost-effective AWS environments. This role requires strong AWS architecture experience, technical leadership capabilities, and the ability to translate business requirements into practical cloud solutions. A full-time hybrid position, based in Ra'anana, Israel. Key Responsibilities:
* Design and validate end-to-end AWS architectures aligned with customer business and technical requirements.
* Lead technical discussions and workshops with customers, engineering teams, and executive stakeholders.
* Produce architecture deliverables including HLDs, LLDs, architecture diagrams, SOWs, BCPs, and DRPs.
* Perform AWS cost estimations and architecture assessments using tools such as AWS Pricing Calculator and Well-Architected Reviews.
* Support migrations, modernization initiatives, and cloud adoption programs.
* Collaborate closely with delivery teams to ensure successful implementation of proposed solutions.
* Provide technical guidance and stay up to date with evolving AWS technologies and best practices.

Were looking for a Software Engineer to join our Data Collection Technologies team to contribute to the design, build, and maintain our Desktop data-collection extensions and client-side components. In this role, you will work as part of a team responsible for developing high-performance browser extensions ,desktop-level integrations and Mobile SDKs that power our data collection platform.
Why is this role so important?
As the most trusted platform for measuring online behavior, millions of people rely on our insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis.
As a Desktop Client-Side Developer, you will own and implement core components of our desktop & mobile data-collection technologies. Youll work hands-on to design, develop, and optimize our desktop clients and browser extensions, ensuring accurate, reliable, and high-quality data collection. Your work will directly influence the performance, stability, and integrity of the data that powers our products and insights.
So, what will you be doing all day?
Design and write (a lot of) high-quality, functional code of cutting edge SDK's, distributed on millions of devices (JavaScript , Kotlin, Swift).
Tackle challenges and find creative and innovative ways to solve them.
Determine feasibility & take part in decision-making by performing risk management and evaluating trade-offs.
Contribute to your team development velocity and quality confidence.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Perform code reviews, evaluate implementations, and provide feedback.

We are looking for Product / Critical Component Engineer. The position will have responsibility to enhance our growing field of high speed optical Interconnect products performance, cost and quality aspects.

What you'll be doing:

The candidate will be responsible for Critical component evaluation and introduction to our interconnect products.

The candidate will work with design, HW and process groups to improve or resolve critical components aspects .

New critical component Qualification and Reliability assessment.

Evaluate High speed performance and margins of the critical component.

Run DOEs and corners samples analysis to evaluate system level performance under different use scenarios.

Set automation tools and monitors to control critical components introduction to the manufacturing line.

Implement new screening methodologies to ensure MLNX quality standards.

Investigation of reliability issues at the CM and Customers sites.

We are rebuilding the way chips get built, and were looking for a senior engineer to help lead that transformation.

This is a full-stack platform role on the team responsible for the development environment behind our silicon. You will help define how agentic orchestration and durable execution become first-class parts of the chip-design workflow.

Were looking for someone who has built complex systems before - across backend, frontend, and infrastructure - and is ready to set the technical direction for what comes next.

What You'll be doing:

Architect and lead full-stack EDA platforms end to end, from data models and backend services to the frontends engineers use every day - while making key technical and build-vs-buy decisions.

Own the infrastructure these platforms run on at scale, including CI/CD, containerization, observability, on-prem compute, and cloud-native Kubernetes environments.

Set engineering standards across the team by leading design reviews, improving reliability and developer experience, and mentoring engineers.

Act as a technical leader across silicon, backend, and design-automation teams, helping turn fragile manual flows into dependable automated systems used by many engineers.

We are looking for a senior alliances leader to build and scale strategic partnerships with global organizations, with an initial focus on Microsoft. This role combines business development, strategy, and delivery, and is key to driving growth through ecosystem partnerships.
Job description
Lead and execute the alliances strategy (initially Microsoft-focused)
Build and manage senior relationships within partner organizations
Develop joint go-to-market opportunities and drive pipeline generation
Collaborate with internal teams to integrate alliances into offerings
Lead commercial negotiations and track alliances performance.

Required Data Science Team Lead
About the Role:
The Data Science department plays a pivotal role in our company, generating value for us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to extract maximum value from data of all shapes and sizes, including classification models, NLP, anomaly detection, graph theory, deep learning, and more.
Our models and algorithms are integrated into the critical path of our product, helping to make thousands of decisions per second in real-time. All the capabilities we develop must meet production-grade requirements in both analytical and engineering standards.
As the Team Lead of a Data Science team, you will manage critical analytical initiatives for our suite of products, shaping the team's direction and focus. You will collaborate closely with Product Managers to influence the future of our product offerings and ensure alignment with company goals. You will need a holistic view of our challenges and a keen understanding of the underlying goals of the department and company. In this role, you will lead the team, oversee their professional development, build effective collaborations with other departments, and bring measurable value to our product through your team's efforts.
What You'll Be Doing:
Lead and manage a team of 3-5 Data Scientists
Collaborate closely with the Dev, Product, and Analytics teams to implement and successfully integrate models and capabilities into production
Play a pivotal role in shaping the vision for the analytical capabilities of our core products
Constantly experiment with new ways to improve our product offering, including complex experimental design
Oversee the training of our strategic models
Lead the research and development of core product Machine Learning capabilities
Standardize processes and methods used within the team and group.

Required Product Manager (Policy Protect)
About the Role:
As the Product Manager for our Policy Protect solution, you will play a major role in our mission to detect and prevent eCommerce policy abuse. Policy Protect uses advanced machine learning to show merchants in real-time which orders, claims, and customers are trustworthy and profitable, and which ones arent.
In this role, youll collaborate closely with engineering and data science teams to build new machine learning models and maintain high accuracy of the existing models.
Youll focus on advancing the analytical capabilities of our product, ensuring the robustness and scalability of the analysis flow. By aligning strategic direction with our goals and working on strategic opportunities, youll ensure that the analytical performance of Policy Protect is top-notch. Youll balance technical constraints with business needs in the product roadmap, contributing to continuous improvement and growth.
What You'll Be Doing:
Collaborate with data science teams to build new and maintain high accuracy of the existing machine learning models for detecting refunds and returns abuse. Define and monitor KPIs to measure model performance and product effectiveness.
Ensure the robustness and scalability of the analysis flow by working closely with engineering teams to identify and address any gaps that could compromise analysis quality. Oversee the implementation of solutions that enhance the reliability of our analytical processes.
Push new sales opportunities forward by meeting with prospects, merchants, and potential partners. Understand their challenges, coordinate actions internally and evolve the product to solve pressing merchant needs.
Drive product development by prioritizing and managing the product backlog, ensuring we solve critical challenges related to policy abuse and deliver value to our merchants.