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We are looking for an experienced Senior Product Manager to own Runtime domain - the core engine that powers millions of workflow executions for security teams worldwide. We seek an experienced, curious, self-motivated product manager to join our team and lead our events pipeline, orchestration, and execution infrastructure.

What Youll Be Doing

Become an expert in all runtime aspects - events pipeline, orchestration, execution, Runners, and the infrastructure that powers them
Own the end-to-end Runner experience - deployment models, resource management, connectivity, and troubleshooting
Perform customer research and technical deep-dives to understand scale requirements, reliability needs, and pain points
Analyze customer escalations to identify patterns and translate them into actionable engineering requirements
Make critical decisions with respect to architectural trade-offs, reliability, performance, and quality to meet business objectives
Work closely with engineering to define, develop, and launch new runtime capabilities across our distributed execution layer

We are looking for a Hands-On Agentic AI Engineer (Information Systems Team) to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.

The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.



Responsibilities:

Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations

we are looking for a Director of Product Management.
As a Director of Product Management, you will lead a core product group spanning both our Accounts Payable (AP) Automation and high-scale Mass Payments (MP) domains. You will directly manage a team of 4 Product Managers- guiding domain owners across core AP finance workflows, as well as high-scale payout platforms, APIs, and end-user onboarding experiences exposed to hundreds of millions of payees globally.
As a Director of Product Management, you will be responsible for:
Inspire, lead, and develop a team of 4 product managers.
Lead a product line: Define and develop a product roadmap for both AP Automation and Mass Payments business lines, defining clear roadmaps that balance customer needs, enterprise finance workflows, API scalability, and market direction. track execution and manage sprint scoping.
Work closely with the development team in Israel, as well as with the entire product team
Be the domain expert, mastering both the customer needs and the product capabilities.
Engage with executive stakeholders to identify needs and map them to the overall product roadmap.

Were looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. Youll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI.

What youll do
Own and run major features and subsystems end-to-end - youll take ideas from concept to production and beyond (monitoring, iteration, refinement).
Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. Youll be comfortable shifting between how do we deploy this reliably to how does the user experience this.
Drive team culture of ownership, craftsmanship, iteration and delivery: were not just about shipping features but owning the outcome, learning fast, and improving continuously.
Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking.

We're looking for a hands-on Engineering Manager to lead a team of senior engineers owning this space end-to-end, from integration design through production ownership. You'll have real autonomy, a direct line from your team's work to customer outcomes, and room to shape how a technically deep domain is built and run.
What you'll own:
Lead and grow a team of engineers, creating clarity on priorities, raising the technical bar, and building real domain ownership
Own execution end-to-end: integration architecture, technical design, delivery predictability, and the operational health of systems that sync critical financial data at scale
Drive reliability and data correctness, strong debugging and sound judgment around sync semantics, idempotency, error handling, and recovery, plus calm decision-making when something breaks in production
Make sure your engineers understand the business and the ERPs behind the systems, the financial flows and edge cases, not just the code
Translate business goals and the realities of messy, heterogeneous ERP systems into pragmatic technical plans
Partner closely with Product, Operations, Support, and other engineering teams to deliver integrations that balance customer impact, time-to-value, and quality
Coach engineers through feedback, mentoring, and high standards

Were looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks.

Responsibilities:
End-to-end development, from processing large-scale data to building intuitive web interfaces
Designing and implementing data pipelines, analytics, and insight-driven features
Developing backend services with a focus on performance and scalability using C/C++ and Python
Contributing to frontend development and overall system integration
Implementing and testing network security enterprise solutions
Conducting research and prototyping new features and product ideas
Exploring new technologies and integrating them into the product
Driving a data-driven approach to product and engineering decisions

We're looking for an experienced and passionate ML Engineering Team Lead to lead our ML Engineering team and shape the next generation of our AI infrastructure. This is a hands-on leadership role where you'll combine technical leadership, software architecture, and people management to build scalable, production-ready AI systems running on edge devices.
About The Role:
Lead, mentor, recruit, and grow a team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Own the team's technical roadmap, architecture, execution, and project prioritization, aligning delivery with business goals.
Design, build, and maintain scalable software and ML infrastructure across cloud and edge environments.
Partner with AI Researchers to productionize Computer Vision and Deep Learning models into reliable, high-performance systems.
Design and optimize inference pipelines with a focus on scalability, latency, and reliability.
Drive engineering excellence through architecture reviews, code reviews, development best practices, and modern AI-assisted engineering workflows.

We're looking for a product-minded Full Stack Engineer who loves solving complex engineering challenges and building AI-powered products used daily by thousands of shoppers worldwide.
You'll work side-by-side with AI tools and cutting-edge computer vision technology, shipping features end-to-end with real ownership and impact.
You'll collaborate not only with engineers, but also with AI-powered development tools as part of your daily workflow.
About The Role:
Own features end-to-end - from product discussions through design, implementation, testing and production.
Design scalable backend services and intuitive frontend experiences.
Collaborate closely with Product, Data, Algorithms and Computer Vision teams.
Use AI-assisted development tools to accelerate delivery while maintaining high engineering standards.
Continuously improve system architecture, performance and developer experience.
Investigate complex production issues and drive long-term solutions.
Contribute to technical decisions and architecture discussions.

we are looking for a bright, passionate and experienced Apple Platforms Software Engineer to join the Cato 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.

We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.

Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

We're looking for a Senior Software Engineer to join the our team. In this critical role, you will join an excellent team of experienced engineers and solve architectural and engineering challenges. You will be building highly scalable solutions, providing infrastructure and value to our XDR product on which we build our disruptive solution for alerting, stopping and monitoring advanced cyber-threats and network alerts.

Responsibilities:

End to End development from the processing of large-scale data to web interfaces
Working closely with multiple stack holders - product management, research, SOC and NOC services and automation teams
Designing and Implementing enterprise platform solutions
Researching new technologies and adapting them for use within the company's product
Collaborating with multiple development teams

Were looking for an experienced Software Engineer to join the Cato DataSec team. In this critical role, you will join a team of experienced engineers building the next generation of Data Security platform. You will design and develop large-scale backend systems that process massive amounts of security data, build data pipelines, and enable advanced analytics and AI-driven security capabilities.

Responsibilities
Design and develop scalable backend services and data-intensive applications.
Build and maintain large-scale data pipelines that process and analyze massive volumes of security data.
Own features end-to-end, from architecture and backend implementation to production deployment.
Work closely with Product Management, Research, Data Science, SOC, NOC, and Automation teams to deliver new capabilities.
Design and implement enterprise-grade platform solutions with a focus on scalability, reliability, and performance.
Research and adopt new technologies to improve data processing, analytics, and AI-driven security products.
Collaborate with multiple engineering teams across the organization.