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We are looking for an exceptional Senior Salesforce System Analyst to join our Global Information Systems team in Israel.
In this role, you will be a key contributor to the scalability of our business, responsible for implementing and optimizing solutions on the Salesforce platform and related integrated tools. Your focus will be on supporting and enhancing our operations across various business domains, including Sales, Service, and Marketing.
This is a hands-on position that involves leading end-to-end projects, implementing configurations, and managing the daily maintenance of the system.
We are seeking an experienced, positive, and technically skilled team player with a can-do attitude.
Key Responsibilities:
End-to-End Project Leadership: Drive Salesforce projects from full definition and requirements design through implementation, documentation, QA/testing, release to production, and communication to global teams.
System Implementation & Configuration: Manage and implement Salesforce configuration tasks, including validation rules, approval processes, workflows, and process builders to flows and flows.
Global Support & Enhancement: Work closely with international teams to provide system support, training, gather feedback, and implement system enhancements.
Problem Solving: Find creative and effective solutions for complex technical and business challenges.
Reporting & Analytics: Create rich, actionable analytic reports for various teams and management.
Commoniaction.

It starts with you - a technical leader whos passionate about data pipelines, data modeling, and growing high-performing teams. You care about data quality, business logic correctness, and delivering trusted data products to analysts, data scientists, and AI systems. Youll lead the Data Engineering team in building ETL/ELT pipelines, dimensional models, and quality frameworks that turn raw data into actionable intelligence.
If you want to lead a team that delivers the data products powering mission-critical AI systems, join mission - this role is for you.
:Responsibilities
Lead and grow the Data Engineering team - hiring, mentoring, and developing engineers while fostering a culture of ownership and data quality.
Define the data modeling strategy - dimensional models, data marts, and semantic layers that serve analytics, reporting, and ML use cases.
Own ETL/ELT pipeline development using platform tooling - orchestrated workflows that extract from sources, apply business logic, and load into analytical stores.
Drive data quality as a first-class concern - validation frameworks, testing, anomaly detection, and SLAs for data freshness and accuracy.
Establish lineage and documentation practices - ensuring consumers understand data origins, transformations, and trustworthiness.
Partner with stakeholders to understand data requirements and translate them into well-designed data products.
Build and maintain data contracts with consumers - clear interfaces, versioning, and change management.
Collaborate with Data Platform to define requirements for new platform capabilities; work with Datastores on database needs; partner with ML, Data Science, Analytics, Engineering, and Product teams to deliver trusted data.
Design retrieval-friendly data products - RAG-ready paths, feature tables, and embedding pipelines - while maintaining freshness and governance SLAs.

Required Customer Success Enterprise Team Lead
Tel Aviv, Israel
Job Description
As the Customer Success Enterprise Team Lead, you will lead and mentor a team of high-performing Enterprise Customer Success Managers (CSMs) dedicated to our most strategic and largest enterprise accounts.
You will be responsible for balancing people management with a sharp business focus, ensuring our clients derive maximum value from the platform. Your mission is to drive a robust retention strategy, minimize churn, and proactively identify expansion opportunities to grow our business within existing accounts.
Key Responsibilities:
Team Leadership & Mentorship: Hire, coach, and develop a team of Enterprise CSMs; set clear individual and team KPIs and track performance.
Strategic Retention: Develop and implement methodologies to ensure high retention rates among strategic clients, identifying churn risks early and building effective mitigation plans.
Business Growth & Expansion: Drive the team to identify and close expansion opportunities (Upsell/Cross-sell), increasing our "Wallet Share" within existing enterprise organizations.
Executive Partnerships: Act as a strategic advisor to C-level stakeholders at our client organizations, aligning our solutions with their core business goals.
Cross-Functional Collaboration: Partner closely with Sales, Product, and Operations teams to voice the "Customers Perspective" and influence the product roadmap based on market needs.
Data-Driven Insights: Utilize data and BI tools to monitor "Customer Health Scores," usage patterns, and market trends to drive proactive decision-making.

We are seeking a passionate, driven, and experienced B2B Retention Specialist to join our Retention and Reactivation Team.
In this role, you will play a key part in strengthening relationships with our business clients, supporting their needs, and driving long-term engagement.
The position is a replacement for maternity leave.
Key Responsibilities:
Proactively contact customers who have stopped using our business services and rebuild relationships to encourage renewed activity.
Provide clear, effective support to customers using our business portal and mobile application.
Troubleshoot and resolve online or technical issues to ensure a seamless user experience.
Increase the number of active business clients by promoting product adoption and consistent usage.
Reduce client churn through strategic outreach and excellent customer care.
Achieve monthly performance goals, including daily call quotas and overall retention KPIs.
Deliver accurate daily statistics and performance insights to your manager.

Requred Staff DevOps Engineer
Tel Aviv, Israel
Job Description
A technology platform solely focused on corporate Ground Transportation Management (GTM), a market worth over $90Bn globally. It is the GTM category leader, serving over a quarter of the Fortune 500 companies.
our cloud-based software aggregates existing transportation providers (corporate fleet, ride-hailing, taxi, and limos) into one single platform, helping businesses manage all of their ground transportation spend, saving time and money.
We are building the global grid of ground transportation, embracing the entire world, connecting the dots, similar to telephone and internet grids. We are inspired to become the standard in corporate ground transportation the same way as Zoom became the standard in corporate communication.
As a Staff DevOps Engineer, you will own production infrastructure across our cloud environments and work closely with platform, dev-infra and automation tests teams to drive operational excellence. You need to be ready to lead cross-team initiatives, proactively identify areas for optimization, and define scope both for yourself and the team.
You will be responsible for:
Keeping production stable and working, having a dedicated team as a first line of support
Improvement of existing CI/CD processes based on the feedback from product and infra teams
Improving the organization's FinOps posture.

It starts with you - a technical leader whos passionate about database systems and growing high-performing teams. You care about query performance, uptime, data durability, and operational excellence. Youll lead the Datastores team in operating, tuning, and scaling the database engines that serve the platform - from PostgreSQL to Elasticsearch, Redis to vector databases, across cloud and on-prem environments.
If you want to lead a team that keeps the database engines running for mission-critical AI systems, join mission - this role is for you.
:Responsibilities
Lead and grow the Datastores team - hiring, mentoring, and developing engineers while fostering a culture of operational excellence.
Own database reliability and availability - ensuring systems meet demanding SLAs for government and national-scale customers.
Drive performance tuning and optimization - query analysis, index strategies, configuration tuning, and resource optimization across all database engines.
Establish operational practices - backup/recovery procedures, disaster recovery, replication strategies, and failover automation.
Plan and execute capacity management - monitoring growth, forecasting needs, and scaling databases ahead of demand.
Lead incident response for database issues - troubleshooting, resolution, and post-incident improvements.
Enable new capabilities - evaluating, deploying, and operating new database technologies including vector databases for AI workloads.
Partner with Data Platform, Data Engineering, Engineering, and Security teams to align database operations with platform needs.
Define and uphold database SLAs that support retrieval paths, feature stores, and embedding durability; coordinate on schema evolution, partitioning, and safe replay/backfills.
Integrate with catalog and lineage systems - surfacing ownership, change history, and impact analysis for critical datasets and collections.
Collaborate with Data Platform, Data Engineering, Engineering, Security, Product, AI/ML, Data Science, and Analytics to prioritize performance, durability, and evolution of data stores across workloads.

We are seeking a highly impactful individual who excels in individual contributions but also significantly elevates the team's overall performance. An Engineer with a can-do attitude who has what it takes to ship state of the art applications using cutting-edge technologies.
As an iOS Engineer, youll be joining a diverse team of professionals with some of the brightest, sharpest, and analytical minds.
You will have a huge impact on our products, taking full ownership of features E2E, and having a great influence inside the team, on both the rider and driver apps.
What you can expect from us:
You'll work with the latest technologies, including TCA, Swift UI, Swift Concurrency, and more
Work with a product team that maintains high UX/UI standards and a robust design system, making it easy to build elegant, consistent, and user-friendly features
Our apps heavily utilize RxSwift, and our team is at the forefront of RxSwift and Functional Reactive Programming (FRP)
We maintain very high standards of quality and stability, with our crash-free session rate typically at an impressive 99.98%
We automate a lot of tedious tasks like signing, releasing, localizing, and testing, freeing you to focus on developing awesome features
We foster a culture where self-initiative is encouraged, and developers are empowered to push their own ideas, not just work on planned tasks.

Required Senior Product Analyst - Rider App
Job Description
A mobility provider and a B2B SaaS Company with the mission to organise all the best ground transportation options in one global platform with great UX, to save businesses time and money.
The Product Analytics team covers all our products, including the B2C/B2B client app, B2B client web portal, and marketplace matching algorithms-ensuring we face new and exciting challenges every day. Were currently looking for a Product Analyst to support the Rider domain, focusing on B2C/B2B client app.
As a Product Analyst, you will go beyond the numbers-defining, analyzing, and translating data into actionable insights about our business, users, and product features. Youll also design and analyze both randomized and non-randomized experiments to optimize performance.
Youll work closely with Product Managers, UX Designers, Developers, Analysts, and stakeholders from other business units to drive key product decisions and shape the product strategy and roadmap.
The ideal candidate is passionate about product analytics, user experience, and applied statistics, with a strong drive to make an impact by leveraging both quantitative and qualitative insights to inform product decisions.
Key Responsibilities:
Conduct quantitative research to drive product recommendations, including cohort analysis, user personas, behavioral segmentation, forecasting, and impact analysis
Design and analyse randomised and non-randomised experiments to optimise product performance and understand user behaviour
Collaborate with cross-functional stakeholders to identify business needs and execute end-to-end analytical projects.
Deliver clear, effective presentations of insights to stakeholders at all levels, using visual representations of data.
Develop and automate reports; build and refine dashboards to provide scalable insights for multiple stakeholders.
Analyze our strategic position against competitors and provide insights that drive value and support our vision.
Define key metrics, analyze usage patterns, and solve challenges that hinder progress toward objectives and key results (OKRs).Lead independent research and develop new analytics methods during dedicated weekly project time.

Required Office Manager
Job Description
As part of the role, you will sit in the front desk reception and will come to the Office ,located in Ramat Hahayal, Tel - Aviv, 5 times a week.
As we work towards efficiency and quality, we need an out of the box, creative, process-oriented soul to help support our teams as they grow.
Responsibilities:
Serve as the point person for maintenance, mailing,cleaning company, shopping, supplies, equipment, bills, and errands.
Organize office operations and procedures.
Coordinate with IT department and procurement department on all office equipment.
Working with the Finance department to process invoices, purchase orders, and track receipts.
Provide general support to visitors, and candidates.
Partner with HR to maintain office policies as necessary and support welfare activities.
Supporting new employees onboarding and departure process.
Managing meeting rooms reservations and assisting with scheduling meetings and appointments.

It starts with you - a technical leader whos passionate about building resilient, automated infrastructure and growing high-performing teams. You care about operational excellence, developer experience, and enabling AI-driven teams to move fast with confidence. Youll lead the DevOps team in architecting and operating the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems.
If you want to lead a team that builds the infrastructure foundation for mission-critical AI systems, join mission - this role is for you.
:Responsibilities
Lead and grow the DevOps team - hiring, mentoring, and developing engineers while fostering a culture of ownership and continuous improvement.
Define compute and networking infrastructure strategy across cloud and on-prem environments; drive architectural decisions that balance reliability, security, cost, and velocity.
Own the platforms deployment, scaling, and operational posture - ensuring systems meet demanding SLAs for government and national-scale customers.
Build and evolve CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute, networking, and orchestration - ensuring reproducible, auditable, and version-controlled infrastructure across all environments.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Establish observability, alerting, and incident response practices that provide visibility into system health and enable fast recovery.
Partner with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure capabilities with platform needs.
Establish infrastructure characteristics (availability, latency, throughput) that enable data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Ship paved-road developer tooling - shared templates, CI/CD workflows for services, IaC modules for compute and networking, and runbooks - to standardize best practices across engineering teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to align infrastructure capabilities with evolving platform and data product needs.

We are seeking service-oriented representative to provide frontline service to customers requiring taxi services at the Israeli airport.
Working Hours:
Shift work, 24/7 availability.:
Morning: 6am-14pm, Afternoon:14pm-22pm, Night: 22pm-6am
This position is highly suitable for students.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities
Design and optimize LLM serving infrastructure using inference engines (vLLM, TensorRT-LLM, Triton Inference Server)
Implement and tune distributed inference strategies including tensor parallelism, pipeline parallelism, and multi-node serving
Develop and apply model compression techniques to optimize cost, latency, and memory footprint while maintaining model quality
Build self-service fine-tuning platforms that enable data scientists to run experiments (LoRA, QLoRA, full fine-tuning) in a standardized, reproducible, and governed manner
Optimize inference performance through batching strategies, KV-cache tuning, and speculative decoding
Develop reusable APIs, abstractions, and platform services for model deployment, scaling, and lifecycle management
Collaborate with AI researchers and product teams to productionize models and meet latency/throughput requirements
Evaluate and benchmark new model architectures, compression methods, and serving frameworks