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Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.

Required Mobile Team Leader - Android
Responsibilities:
Lead the mobile team - recruitment, mentoring, and day-to-day management. 
End to End ownership of solutions throughout their entire design and development cycle which involve significant cross-team and cross-area collaborations 
Working closely with multiple stack holders - product management, server groups, core networking groups etc 
Designing and Implementing enterprise platform solutions 
Researching new technologies and adapting them for use within the companys product 
Be on top of relevant client-side technologies to facilitate additional features that will both allow for novel solution and at the time improve existing ones.

Our mission is to create the ultimate CRM Suite for our clients to manage, sell, automate, track & grow their customer database and sales.
Were responsible for crafting innovative, smart & flexible SaaS systems that help companies to scale and grow in challenging environments.
Our solutions are implemented worldwide, in more than 15 countries, delivering outstanding digital experiences for millions of people.
As we continue to grow, were looking for a passionate, fun to work with, Backend Team Leader to join our team and build great products with us.
Responsibilities:
Lead a team of backend developers including hands-on involvement
Responsible for tasks analysis, design, timelines and quality
Work closely with the company CTO and Product Managers
Work closely with other development and QA teams and groups
Responsible for the code standard and code quality of the team
Responsible to enforce the development processes of the team
Report risks or any delays in advance
Committed to team tasks
Support team members.

we are looking for an experienced Data Science Manager to lead and grow our Data Science team. This is a managerial role focused on leading a team of Data Scientists while driving the strategy, execution, and delivery of impactful AI and ML initiatives across our SaaS platform.
You will be responsible for both people leadership and technical direction - ensuring high standards of execution, mentoring team members, and aligning data science efforts with product and business goals. This role requires a strong hands-on background combined with proven team management experience.
What You Will Do:
Lead, mentor, and manage a team of 7-10 Data Scientists, fostering a culture of ownership, excellence, and continuous learning.
Own the teams roadmap, prioritization, and delivery of AI initiatives.
Provide technical and architectural guidance across projects.
Drive end-to-end execution of data science solutions - from problem definition and research to modeling, evaluation, deployment, monitoring and enhancement cycles.
Collaborate closely with Product, Engineering, and Business stakeholders to translate business needs into scalable AI solutions.
Ensure production-grade standards, model performance monitoring, and continuous improvement.
Stay up to date with advances in machine learning, GenAI, and LLM technologies, and translate them into business impact.
Take responsibility for hiring, onboarding, and developing top data science talent.

our company's Israel Frontend team. The team is responsible for the frontend development of multiple SaaS web products (CRM, Commerce, Data Automation) in a highly innovative, technical, and empowering work environment.
Our products are in use by millions of users worldwide, delivering smart and intuitive web experiences that put the end-user in the center.
Responsibilities:
Responsible for tasks analysis, design, timelines and quality
Work closely with the company CTO and Product Managers
Work closely with other development and QA teams and groups
Responsible for the code standard and code quality of the team
Responsible to enforce the development processes of the team
Report risks or any delays in advance
Committed to team tasks
Support team members.

We are looking for a bright, passionate and experienced Apple Platforms Software Engineer to join the team. In this critical role, you will be developing our Client Application which is used by hundreds of thousands of users worldwide. You will be owning aspects of the applications full life cycle, from design, and development to CI/CD.
Responsibilities:
End-to-end ownership of our macOS/iOS clients, designing, developing and delivering new features from scratch.
Assisting DevOps with maintaining and enhancing our build system.
Researching Apple platform and ecosystem for relevant technologies.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with QA, automation, product-management and other engineering teams to deliver integrated features.

Were hiring a Senior Full Stack Engineer to help evolve AI-first AP Automation platform.
Youll be a key player in building a unified system that gives companies full control and visibility over spending, from invoices to AP credit cards to payments.
This is a high-impact role in a fast-growing startup where AI is not just a feature but a foundation.
Youll architect and deliver scalable, intuitive web experiences that drive efficiency, transparency, and collaboration across the finance workflow.
What You Will Do:
End-to-End Development: Build and enhance our platform using Java and React, delivering seamless, performant user experiences across web applications.
AI-Enhanced Feature Delivery: Work closely with AI and product teams to integrate smart automations, faster approval workflows, and contextual user assistance throughout the application- MUST
Performance Optimization: Ensure responsiveness and scalability of the application, handling large data sets and user volumes efficiently.
Collaborative Problem Solving: Partner with designers, PMs, and fellow engineers to transform business needs into elegant technical solutions.
Clean Code & Best Practices: Write robust, maintainable, and testable code. Participate in code reviews and contribute to engineering excellence.
Continuous Improvement: Keep up with new trends and technologies-especially in AI/ML-and look for opportunities to evolve our systems and architecture.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/our company network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.

we are hiring a CX Manager with deep expertise in ERP finance systems, P2P workflows, and integrations.
This role is the ERP SME and integration owner within Customer Experience. The focus is to understand how finance processes work in customer ERPs, how they connect, and how to turn customer issues, bugs, feature gaps, and new requirements into clear integration solutions.
This is a hands-on role for someone who can solve complex customer issues, define ERP integration requirements for Engineering, and lead resolution end to end. The role also operates in a highly AI-enabled environment, using AI tools, platforms and agents to improve triage, analysis, escalation management, and communication.
This role owns ERP integration within Customer Experience: diagnosing customer issues, defining integration requirements, and driving resolution end to end.
Youll partner with teams in Israel and the US and report to the Director of Customer Experience
What You Will Do:
Own ERP integration issues across bugs, feature gaps, and customer requirements.
Serve as ERP SME and L3 support lead for complex finance workflow and integration cases.
Diagnose setup, configuration, data flow, mapping, permissions, and sync issues.
Distinguish between customer setup issues, integration issues, and product issues, and drive the right resolution path
Define functional requirements and solutions for ERP integration fixes, sync issues, missing data flows, and new capabilities.
Lead escalations with strong ownership and clear internal/external communication.
Use AI tools to improve triage, analysis, RCA, summaries, and handoffs, with clear human-review checkpoints.
AI-driven responsibilities
Use AI tools daily to improve triage, analysis, and communication.
Design AI-supported workflows for intake, investigation, escalation summaries, pattern detection, and handoffs.
Use AI to accelerate root-cause analysis, executive updates, troubleshooting paths, and customer communication.
Continuously improve prompts, workflows, and agent behavior, with sound judgment on where AI can help and where human review is required

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.

We are looking for a Full-Stack Tech Lead to play a key role in building this new Cybersecurity unit from the ground up.
This is a highly impactful role for an engineer who can lead end-to-end development, own architecture, and turn advanced ideas into production-ready systems. The role combines hands-on full-stack development, technical leadership, and deep integration of LLM-based AI capabilities into cyber products.
Responsibilities
Lead design and development of full-stack cyber security products, from frontend to backend.
Own system architecture with focus on scale, performance, security, and reliability.
Design and implement AI-powered capabilities using LLMs.
Drive technical decisions and engineering best practices.
Mentor and guide engineers through design and code reviews.
Work closely with product and business stakeholders in a fast-growing unit.

We are looking for a Systems Engineer to join our multidisciplinary R&D organization and play a key role in the definition, development, and integration of complex industrial systems. In this role, you will be involved throughout the full product lifecycle-from requirements and system architecture, through integration and validation, and into deployment and manufacturing.

As a Systems Engineer, you will serve as the technical integrator across engineering disciplines, leading system‑level thinking and ensuring that the complete solution meets performance, reliability, quality, and cost targets. This is a hands‑on, high‑impact role for an engineer who enjoys working on real, complex products, making critical design decisions, and shaping how advanced systems are built.


Key Responsibilities

Translate product requirements into system-level specifications and technical requirements.
Decompose system requirements into subsystem requirements and ensure alignment across engineering teams.
Develop system concepts, trade-off analyses, and performance models.
Act as the technical interface between hardware, software, mechanics, and electronics.
Ensure seamless integration between subsystems and manage interface definitions.
Lead technical discussions across R&D disciplines to resolve system-level challenges.
Develop verification and validation plans to ensure system performance and reliability.
Participate in design reviews and technical risk assessments.
Analyze system performance and troubleshoot complex technical issues.
Lead root-cause analysis and implement system-level improvements.
Support manufacturing, service, and field teams during product deployment.

We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).