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As a Solution Engineer for Next-Gen Trust Security (NGTS), you are the premier technical subject matter expert for our compny's Machine Identity Management portfolio. Following our integration with CyberArk, you will lead the technical charge in transforming how enterprises manage cryptographic trust.
You will be responsible for defining technical solutions that secure critical business imperatives, evangelizing our "better together" integration of Certificate Lifecycle Management (CLM) and Zero-Touch Public Key Infrastructure (ZTPKI) within the Strata Cloud Manager (SCM) platform. You will serve as the technical bridge between the Network Security teams and Identity stakeholders, ensuring that enforcement systems (NGFW/SASE) stay synchronized as certificate lifecycles compress.
Your Impact
Technical Win Leadership: Lead Proof of Value (PoV) engagements and technical validations for NGTS, ensuring a high technical win rate by demonstrating operational resilience and outage elimination.
Solution Architecture: Design unified cryptographic governance models within Strata Cloud Manager that align certificate operations with network enforcement.
Strategic Execution: Identify critical projects and actions required to achieve a customer's desired security end-state; eliminate sales obstacles through creative and adaptive problem-solving.
Market Evangelism: Act as a thought leader on the "Cryptographic Reset," educating CISOs and VP-level stakeholders on the risks of 47-day certificate lifecycles and the path to Post-Quantum Cryptography (PQC).
Product Advocacy: Share industry experience regarding customer usage patterns to provide feedback to product teams on how to make NGTS/MIM easier for customers to adopt fully.
Strategic Discovery: Conduct deep-dive discovery sessions to uncover unmanaged or "rogue" certificates using network-native discovery tools.
Cross-Functional Collaboration: Partner with Solutions Consultants (SCs), Account Managers, and the CyberArk MIM Specialist team to build and execute account-based pursuit strategies.
Platformization: Drive the adoption of Secure Flex credits by showing customers how to consolidate siloed CLM/PKI tools into a centralized control plane.

We are looking for a Staff QA Architect to join our elite team, contributing to the development of one of our strategic products for Cloud Security.
In your role, you will be responsible for developing and maintaining high-quality work procedures, leading the team to achieve better quality.
You will be involved in the full feature lifecycle - from gathering requirements with the product team to release - ensuring quality at every stage, including bug management and observability and defining QA work procedures, guidelines, and designing the entire testing process.
The ideal candidate will be responsible for leading quality activities across solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Lead the quality efforts across multiple interfaces with a proactive and assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes, promoting a quality-driven culture and managing the quality backlog.
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first approach - collaborating with developers to ensure code is testable and observable.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions regarding test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to ensure E2E test coverage.
Quality Point of Contact: Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.

we are seeking a Principal (Senior Director), GCS Strategy & Ops to own the 0-to-1 reimagining of the post-sales workflows through a highly ambitious, AI-first transformation. This is a unique opportunity to move beyond traditional workflows and architect a new, first-principles transformation driven by agentic AI.
As a key senior leader, you will take full ownership of the concept, design, and execution of these transformation programs, collaborating directly with top executives to tackle mission-critical business challenges. We are looking for a "hands-on" strategist who can act as the architect of large-scale, enterprise-wide, agentic transformations that require deep collaboration across Product, Engineering, GTM, IT, and Post-Sales.
Your Impact
0-to-1 AI Architect: Strategize, conceptualize, and execute a complete redesign of post-sales workflows using an AI-first approach.
Enterprise Transformation: Lead the strategy and execution of transformative programs that deliver long-term value and introduce operational efficiencies across the business.
Cross-Functional Orchestration: Drive strategic alignment and accountability across Product, Engineering, GTM, IT, and Post-Sales leadership teams.
Strategic Problem Solving: Structure and analyze complex business problems, develop hypotheses, and present data-driven recommendations to the C-suite.
Operational Excellence: Own the operating cadence of accountability for all AI-driven goals and drive program management and operating performance.
Team Leadership: Develop and lead the post-sales Strategy & Operations team, fostering a customer-obsessed and outcomes-focused culture.

CyberArk is looking for a Senior Product Owner to join our CORA (Generative) AI group. We build AI agents, frameworks and shared infrastructure that power GenAI capabilities across the company, enabling CyberArks product lines to adopt agentic workflows safely, reliably, and at scale.
As the groups Senior Product Owner, you will bridge the gap between emerging AI technologies and production-grade reality. You will own the roadmap for embedding agentic AI solutions across the company, balancing product impact with long-term architectural excellence. Collaborating closely with Product Managers and Engineering, you will define how agent-based intelligence can best serve our diverse product lines, while driving the development of both shared infrastructure and bespoke agentic solutions throughout the entire lifecycle - from ideation and implementation to deployment and evaluation. Your goal is to gradually build a platform that empowers every CyberArk product to adopt AI safely, reliably, and at scale.
Enable the Ecosystem:Treat other CyberArk product teams as your customers. Deeply understand their product landscapes to ensure our AI platform is flexible enough to support their unique functional needs while maintaining its robustness and architectural integrity.
Architect the Agentic Roadmap:Translate high-level product and engineering vision (the Why & How) into a concrete plan (the What & When) - forming a prioritized backlog of actionable epics, user stories, and functional specifications that guide the R&D team towards building the platform.
Strategic Liaison:Serve as the primary authority for stakeholders outside the development group, providing deep clarity on platform capabilities, framework logic, and how architectural changes will impact the broader product ecosystem.
Tactical Orchestration:Partner daily with R&D to steer the development process - supporting sprint planning, refinement, and high-quality delivery, resolving functional ambiguities, adapting the plan to real-time technical/product insights, and ensuring the team maintains high velocity while staying aligned with the strategic vision.
Champion Iterative Value:Foster continuous feedback loops between stakeholders and technical teams to enable rapid iteration and deliver meaningful value.

Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

We are looking for one architect to own both layers. Your foundation is deep platform and DevOps architecture: reliability, scalability, security, and cost efficiency of the cloud platform every R&D team builds on. Your growth edge is the AI layer: designing how agents are orchestrated, how they access tools and data safely, how we evaluate whether they work, and how we govern their cost and behavior in production.

We know agentic AI is a young discipline. We are not looking for a decade of AI experience that does not exist. We are looking for a proven platform architect who has spent the last one to two years genuinely building LLM-based and agentic systems in production, and who wants to own where this field goes inside a company that takes it seriously.

What Youll Do:
Platform & DevOps
Cloud Architecture: Own the architecture of our cloud platform, including GKE fleet design, VPC networking, IAM/Workload Identity, and multi-environment strategies across GCP (and AWS where relevant).
IaC & GitOps: Lead Infrastructure-as-Code (Pulumi, Terraform) standards, ArgoCD deployment patterns, and secure CI/CD paved paths (GitHub Actions, GitLab CI) adopted by all R&D teams.
Reliability & Observability: Own reliability architecture, including Disaster Recovery (DR) strategy and drills, P1 incident reduction, MTTR improvement, and observability platform architecture (Datadog, Prometheus, Grafana, OpenTelemetry) including usage and cost optimization.
FinOps: Drive FinOps as an architectural discipline-rightsizing, idle-resource elimination, unallocated-spend attribution, and cost-aware design reviews using tools like Kubecost or GCP Cost Management.
Agentic AI

Agent Architecture: Design our agentic AI ecosystem, focusing on agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen), tool/MCP (Model Context Protocol) interfaces, vector databases/memory strategies (e.g., Pinecone, Qdrant, pgvector), and production AI deployment patterns.
Evaluation & Guardrails: Build the evaluation and guardrail layer for AI in production using frameworks like Ragas, TruLens, or LangSmith. Define permission models, human-in-the-loop checkpoints, audit logging, and policy-as-code for AI usage.
AI FinOps & Monitoring: Own AI cost observability, token spend monitoring, model routing strategies (optimizing for cost/quality/latency trade-offs), and real-time alerting on runaway model usage.
Reference Architectures & Standards: Define reference architectures for teams building AI features, RAG patterns, prompt versioning/management, and model API standards (OpenAI API, Anthropic, open-source models via vLLM/Ollama), driving high-leverage AI automation across R&D.

We are looking for a Senior Chip Design Verification Engineer to join our Network Adapter Silicon group. As a Senior Verification Engineer Networking Silicon team, you will join a group of passionate engineers to design and implement the next generation state-of-the-art Networking Silicon chips. In this position, you will 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 core units within the Networking silicon.

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

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