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We are hiring a General Manager, Product Management to own and scale this domain end-to-end. This leader will be fully accountable for adapting our existing enterprise-grade solutions to the needs, unlocking scalable distribution channels, work with eCommerce platforms, and ecosystem partners, and driving meaningful product adoption and revenue growth.
This role combines product leadership, commercial ownership, and ecosystem strategy. You will operate as a domain GM, defining the strategy, tailoring the product experience, aligning cross-functional execution, and ensuring we build a scalable and profitable solution.
Being part of our team means working alongside smart and motivated colleagues who execute with urgency and high standards. We believe in end-to-end ownership, and in this role, you will have full accountability for turning the market segment into a growth engine for us.
What You'll Be Doing
Own the vision, strategy, and execution for our SMB domain
Define how our core products should evolve to serve small and medium-sized merchants effectively
Define success metrics and drive accountability for revenue growth, adoption, retention, and margin performance in the segment
Lead a team of strong Product Managers
Drive simplification of onboarding, integrations, pricing, packaging, and support models
Partner with Engineering and Data Science to optimize models and risk thresholds for SMB characteristics
Partner closely with Sales, Partnerships, and Marketing to enable effective SMB positioning and messaging.

We are seeking an Senior AI Engineer to design, build, and deploy AI-powered capabilities within our product.

This role focuses on integrating machine learning models and large language models (LLMs) into scalable software systems and delivering reliable AI-driven features to production.

The AI Engineer works at the intersection of software engineering, AI systems, and infrastructure. transforming AI technologies into practical applications.

Responsibilities:
Build applications powered by machine learning and large language models (LLMs).
Implement capabilities such as intelligent assistants, semantic search, automation, and recommendation systems.
Integrate AI functionality into backend services and product workflows.
Design and implement retrieval pipelines, embedding pipelines, and inference workflows.
Build Retrieval-Augmented Generation (RAG) systems and AI-driven services.
Create scalable AI architectures capable of handling production workloads.
Package and deploy AI models as production services.
Optimize inference performance, scalability, and latency.
Monitor AI services to ensure reliability and performance.
Develop backend services and APIs that expose AI capabilities.
Integrate AI systems with databases, internal services, and external APIs.
Contribute to system architecture and microservices design.
Implement logging, metrics, and observability for AI systems.
Track model performance and system reliability in production environments.
Work closely with product managers, engineers, and data scientists.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions. We’re looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. You’ll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact. If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; we’d love to hear from you!

Responsibilities:

* Identify opportunities for improvement through data analysis aligned with company strategy.
* Partner cross-functionally to translate data findings into actionable product and business decisions.
* Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.
* Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
* Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
* Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Advantages:

* Background in statistics, causal inference, or experimentation frameworks.?
* Experience mentoring analysts or leading analytical projects.?
* A deep interest in social, communication, or engagement-driven apps.

Experience:
6+

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.

You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.
What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements

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.

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.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

We are now looking for a Senior Chip Design Engineer for the Switch Silicon group.

As a Chip Design Engineer at NVIDIA's Networking business unit, you'll join a group of passionate engineers to design and implement the next generation pioneering Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a combined design and verification team which develops some of the switch silicon core units.

Build reference models, verify and simulate chip blocks/entities according to specifications.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.

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.

As part of this role, you will be responsible for performing electronic failure analysis on SolarEdge’s complex products in both manufacturing and development environments. The position includes identifying root causes, leading corrective actions, and working closely with Engineering, Quality, and Production teams to ensure high product quality and reliability.

Responsibilities: · Perform failure analysis on electronic products, boards, and systems · Identify root causes and lead debug activities · Define and implement corrective and preventive actions · Work with lab equipment and test systems · Collaborate with Engineering, Quality, and Production teams · Support continuous quality and reliability improvement processes

Country:
Israel

City:
Modiin

Were looking for a Senior Marketing Operations Manager to take ownership of our marketing infrastructure, automation, technology stack, processes, and data strategy.
Marketing Operations plays a critical role in connecting data, systems, and teams to drive scalable growth across both Sales-Led (SLG) and Product-Led (PLG) motions. This role sits at a key intersection within our Marketing organization, enabling alignment across teams, technologies, and processes.
You will be both a hands-on builder and a strategic partner, working closely with Lifecycle Growth, Product Marketing, Demand Generation, BI, MIS and GTM teams to design and scale high-impact marketing workflows.
Youll play a central role in transforming how we operate, bringing a modern, AI-first approach to marketing operations, simplifying complex legacy processes, and driving measurable business impact.
Key Responsibilities
Own and optimize marketing automation platforms, building scalable multi-channel campaigns, lifecycle journeys, and nurture programs
Lead advanced audience segmentation and ensure seamless lead flow across SLG and PLG funnels
Design and implement scalable marketing processes, including campaign execution, lead management, and data governance
Set up and maintain lead capture integrations while operating data enrichment strategies using internal and external sources, ensuring accurate data flow and improving segmentation, targeting, and personalization
Own data governance across marketing systems and CRM, ensuring high standards of accuracy, consistency, and scalable data structures across multiple objects
Collaborate cross-functionally to translate business needs into operational solutions and drive alignment on GTM and KPIs
Analyze campaign and funnel performance, delivering actionable insights and defining measurement frameworks with BI and Analytics teams
Drive AI innovation, including redesigning workflows and implementing AI-driven solutions.

We are looking for a Payroll Assistant to join our Finance Team under the Payroll manager.
As a Payroll Assistant, you will be involved in all daily payroll duties, including updating payroll records, preparing periodic reports, processing tax forms, etc.
What You'll Be Doing
Support the monthly payroll process
Collect and update data in the payroll system
Process and update new hires in the payroll system
Support employee terminations and maintain relevant documentation (form 161)
Manage and update pension funds data
Review and process attendance data
Prepare periodic and ad-hoc reports as required
Support the generation and distribution of all regulatory forms (101, 106)
Assist employees and managers with payroll-related inquiries.

We are looking for a Payroll Assistant to join our Finance Team under the Payroll manager.
As a Payroll Assistant, you will be involved in all daily payroll duties, including updating payroll records, preparing periodic reports, processing tax forms, etc.
What You'll Be Doing
Support the monthly payroll process
Collect and update data in the payroll system
Process and update new hires in the payroll system
Support employee terminations and maintain relevant documentation (form 161)
Manage and update pension funds data
Review and process attendance data
Prepare periodic and ad-hoc reports as required
Support the generation and distribution of all regulatory forms (101, 106)
Assist employees and managers with payroll-related inquiries.