We are looking for an experienced Engineering Escalation Manager to join our team and serve as a key bridge between Engineering, Support, Product, Customer Success, and Sales. In this role, you will drive strategic initiatives, improve operational excellence, and ensure we deliver an exceptional customer experience at scale.
Key Responsibilities
Become a subject matter expert in customer challenges within the IAM domain, driving alignment across Support, Sales, Customer Success, Product, and Engineering to improve collaboration and accelerate resolution of critical issues.
Partner with Engineering and Support Engineering teams on strategic, global initiatives that improve scalability, efficiency, and customer outcomes.
Collaborate with cross-functional leaders to identify operational gaps, implement improvements, and establish best practices that enhance customer experience.
Own and continuously improve escalation processes, ensuring high-impact customer issues are effectively managed, resolved, and transformed into actionable product insights.
Build and optimize feedback loops between customers, support teams, and engineering teams to ensure customer insights influence product strategy and roadmap decisions.
Leverage data and operational insights to identify trends, improve team performance, and drive continuous improvements in product adoption and customer satisfaction.

We are looking for an experienced Engineering Escalation Manager to join our team and serve as a key bridge between Engineering, Support, Product, Customer Success, and Sales. In this role, you will drive strategic initiatives, improve operational excellence, and ensure we deliver an exceptional customer experience at scale.
Key Responsibilities
Become a subject matter expert in customer challenges within the IAM domain, driving alignment across Support, Sales, Customer Success, Product, and Engineering to improve collaboration and accelerate resolution of critical issues.
Partner with Engineering and Support Engineering teams on strategic, global initiatives that improve scalability, efficiency, and customer outcomes.
Collaborate with cross-functional leaders to identify operational gaps, implement improvements, and establish best practices that enhance customer experience.
Own and continuously improve escalation processes, ensuring high-impact customer issues are effectively managed, resolved, and transformed into actionable product insights.
Build and optimize feedback loops between customers, support teams, and engineering teams to ensure customer insights influence product strategy and roadmap decisions.
Leverage data and operational insights to identify trends, improve team performance, and drive continuous improvements in product adoption and customer satisfaction.

We are looking for a highly seasoned Tech Lead with a deep SaaS background to bridge the gap between high-level architectural vision and hands-on technical execution. In this role, you will be a cornerstone of the Platform group, blending very senior development expertise with architectural leadership.

You will lead by example, spending a significant portion of your time in the code while simultaneously guiding the technical and architectural direction of the group. Reporting to the Platform Group Manager, you will collaborate with product managers and engineers to deliver robust capabilities consumed by internal teams and external customers.

What You'll Do

Hands-on Technical Leadership

Lead or co-drive the implementation of complex, cross-cutting platform features, maintaining a high standard for code quality and system performance.

Translate architectural goals into actionable technical roadmaps and lead teams through successful execution.

Balance daily feature delivery with long-term architectural health, ensuring that technical debt is managed effectively.

Provide deep-dive code reviews and technical mentorship, elevating the engineering craft across the domain.

Serve as the primary technical point of contact for the group, making critical decisions on implementation patterns and tool selection.

Architectural Execution

Collaborate with the other tech leads to ensure cross-group-level implementations align with our broader technical and architectural strategy.

Drive the adoption of modern distributed system patterns and cloud-native best practices through direct implementation and guidance.

Champion the use of AI tools to optimize development lifecycles while maintaining deep ownership of the system codebase.

We are seeking an energetic and versatile Principal Software Engineer to join our elite team responsible for building our Identity Authentication platform. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. In this role, you will be a core technical authority using AWS architecture, AWS CDK, and .NET to design, develop, test, secure, and deploy high throughput, production ready cloud services from planning to production. Working in full collaboration with security architects, product managers, and cross functional development teams, you will produce complex and advanced SaaS services that satisfy demanding scalability, security standards, and Non-Functional Requirements (NFRs).
Your Impact:
Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS and .NET following secure-by-design principles.
Practice all aspects of the software development lifecycle within an agile, continuous-delivery environment.
Spearhead research into modern cybersecurity mechanisms, evaluate emerging tech stacks, and pioneer cut-edge solutions to solve complex platform bottlenecks.
Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

We are looking for a talented Frontend Engineer to help build and scale the user-facing
infrastructure of our fast-growing SaaS enterprise product. In this role, you will own frontend
feature development from initial requirements to final delivery. Operating in a highly
collaborative, agile environment, you will work alongside cross-functional developers and QA
engineers, reporting directly to the Frontend R&D Team Leader.
● Own the Frontend Lifecycle: Take part in feature development from requirement
definition stages to final production deliverables.
● Lead UI Initiatives: Drive and own frontend development efforts within the group,
ensuring high standards of code quality.
● Research & Innovate: Evaluate modern web platforms, UI frameworks, and
cutting-edge frontend technologies to optimize our ecosystem.
● Deliver Excellence: Produce high-quality web applications that meet strict enterprise
security, stability, and performance standards.
● Collaborate in Agile: Work as a core member of a cross-functional team, interfacing
with backend/mobile engineers and QA to deliver seamless user experiences.

Your Career:
As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArks product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do
Build Security Capabilities:
Design and develop security tooling, automation, and platform services that operate at our enterprise scale.
Contribute code directly into our viceNow product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.

We are looking for a SW Engineering Manager to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

We are looking for a SW Engineering Manager to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.