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As a Solution Engineer for Next-Gen Trust Security (NGTS), you are the premier technical subject matter expert for Palo Alto Networks' Machine Identity Management portfolio. Following our integration with our company, 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 company 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 Senior Full Stack Developer to join our fast-growing team. You will report to the Full Stack Team Leader and play a key role in contributing to our teams ongoing success and growth.


Responsibilities:
Design, develop, and maintain high-performance web applications using React and TypeScript, incorporating advanced AI features into the user experience.
Building and optimizing robust backend APIs to support payment workflows, including multi-agent state management and LLM lifecycle governance.
Collaborate cross-functionally with product managers, architects, DevOps, and UX/UI designers to translate business requirements into comprehensive, scalable solutions.
Drive development efficiency by leveraging AI-assisted tools to improve code velocity, consistency, and overall system reliability.

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team. Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments.

This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.


Responsibilities:
Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations

we are looking for a UX UI Product Designer.
What will you do:
Lead end-to-end design processes for complex products and features, from research and discovery through design, prototyping, and implementation.
Design intuitive and polished user experiences while contributing to the evolution of our Design System.
Collaborate closely with Product Managers, Developers, and other stakeholders throughout the product lifecycle.
Leverage AI tools and Claude Code as part of your daily workflow for research, problem exploration, rapid prototyping, and accelerating product development.

The Customer Engineer serves as the technical bridge between Koi engineering and Palo Alto's customer-facing teams, enabling Domain Consultants and support teams to successfully run POVs, deploy Koi, and support customers at Job Description
We are looking for a highly technical and customer-focused Customer Engineer to join the Koi team. This role operates at the intersection of engineering, support, and pre-sales solutions, and is critical to scaling Koi across Palo Alto Networks.
As a Customer Engineer, you will sit closely with the Koi engineering team and develop deep expertise in Koi's architecture, capabilities, and roadmap. You will enable Domain Consultants (DCs) to effectively run Proof of Value (POV) engagements, and empower support teams to deliver high-quality service to customers using Koi. In this role, Customer Engineers translate live customer issues into actionable engineering fixes, taking full ownership of the bug-resolution lifecycle and the safe deployment of updates directly to customers.
Key Responsibilities
Act as a technical bridge between Koi engineering and Palo Alto customer-facing teams
Own the end-to-end resolution of technical issues, from diagnosing complex bugs to managing their seamless deployment to customer environments.
Develop deep expertise in Koi's product, architecture, and internal systems
Enable Domain Consultants (DCs) to successfully run POVs, including deployment, troubleshooting, and demonstrating value to customers
Support Palo Alto support teams in diagnosing and resolving customer issues
Build internal tools and systems that allow DCs and support teams to answer questions and perform initial triage independently
Improve scalability by reducing dependency on engineering for routine support and POV-related issues
Own or lead triage of the most complex and high-impact customer issues
Partner with engineering to identify root causes and drive long-term fixes
Identify recurring friction points in POVs and customer deployments, and work to eliminate them
Contribute to internal documentation, troubleshooting guides, and playbooks
Impact:
Provide the team with seamless technical resolutions to unblock customer issues
Increase success rate and quality of POVs led by Domain Consultants
Improve customer onboarding and time-to-value for Koi
Reduce escalation load on engineering teams
Improve overall customer experience and product reliability.

We are seeking an experienced and visionary ML Engineer to join our dynamic technology organization. The successful candidate will be a part of a team of talented AI Engineers, Building agentic AI solutions, driving innovation and delivering business value through advanced Generative AI solutions & machine learning techniques. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge Gen AI and LLM methodologies and a passion for continuous learning and development.

Responsibilities
Build the solution: Own end-to-end technical delivery of agentic systems, from source-system integration through agent design, development, evaluation, and production deployment.
Integrate AI systems with our source systems (Salesforce, Databricks, Splunk, internal APIs, business applications). Handle agent harness and orchestration.
Handle the operational handover to the business function and any necessary support transition.
Collaborate across teams: Partner closely with data engineering, platform, security, and business teams to align on requirements, dependencies, and integration points.
Engage stakeholders: Gather requirements directly from business functions, communicate technical trade-offs clearly, and keep stakeholders informed on progress, risks, and timelines.
Uphold quality and reliability: Establish and maintain best practices for code quality, testing, evaluation, monitoring, and observability of deployed AI systems.
Contribute to the team's technical growth through knowledge-sharing and help shape engineering standards and reusable patterns.
Stay current: Continuously evaluate emerging Gen AI, LLM, and agentic frameworks, and recommend tools and approaches that improve delivery speed and solution quality.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you. This is an opportunity to join an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Contribute to a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Simulate real-world attacks and perform deep behavioral analysis to inform and validate detection content.
Collaborate across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Share insights with the security community through blogs, conference talks, and publications.

We're looking for a Senior Security Engineer to own and elevate the security posture of our
cloud-native, AI-driven SaaS platform. Reporting to the Director of DevOps, you'll be the technical
anchor for security across our product, infrastructure, and organization - combining hands-on
engineering with the strategic judgment to translate risk into clear, actionable priorities.
This is a high-ownership role for someone who can operate end to end: threat modeling a new feature
in the morning, hardening cloud infrastructure in the afternoon, and briefing leadership on risk posture
by the end of the week. As we scale our platform and deepen our use of AI/ML, you'll define how we
build, ship, and operate securely - often standing up programs and controls that don't yet exist.
You'll work cross-functionally well beyond engineering, partnering with Customer Success, Marketing,
Finance, and Legal to make security a shared, business-aware practice rather than a gate at the end of
the line.
What You'll Do:
Own the day-to-day security engineering function across cloud infrastructure, application, and data
layers.
Lead threat modeling, penetration testing, and vulnerability management across the product and
platform lifecycle.
Design, implement, and continuously improve cloud security controls across AWS, GCP, and/or
Azure environments.
Assess and secure our AI/ML systems, addressing the unique risks they introduce - from data
pipelines to model and LLM behavior.
Drive compliance readiness and audit support for frameworks such as SOC 2, ISO 27001, and
GDPR.
Embed security into the SDLC and CI/CD pipelines, partnering closely with DevOps and engineering
teams.
Translate technical risk into clear business and board-level language, and advise leadership on
prioritization and trade-offs.
Partner cross-functionally with non-engineering teams (Customer Success, Marketing, Finance,
Legal) to build security awareness and practical, low-friction controls.
Lead or support incident response, including detection, containment, remediation, and post-incident
review.

We are looking for a driven, technically curious Staff Backend Developer to join a cutting-edge team focused on Agentless Scanning within Cortex Cloud, Palo Alto Networks' next-generation cloud security platform. Based in our Tel Aviv (TLV) office, you will be at the forefront of cloud security innovation. Our team's mission is to help Cortex Cloud customers discover, understand, and fix security vulnerabilities in their workloads across all major cloud providers. This role is ideal for a proactive engineer with a strong "can-do" attitude, a passion for solving complex technical problems, and a desire to grow rapidly alongside experienced mentors. If you love digging into backend systems and want to see your code directly impact global enterprise customers, we want to hear from you!
Your Impact
Hands-on Backend Development: Contribute to the design, development, testing, and deployment of features and core components within the Agentless domain.
Feature Ownership: Collaborate closely with senior team members and partners across Cortex Cloud to deliver high-quality features from inception to production.
Customer-Centric Problem Solving: Help build robust solutions that address the day-to-day security challenges faced by our customers.
Continuous Learning & Collaboration: Actively participate in team-wide engineering practices, including code reviews, technical discussions, and agile processes, to continuously elevate your skills.

As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.

Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.

Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.

Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.

Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.

Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

we are looking for a Technical Project Manager (TPM).
What you will do:
● Lead projects and R&D processes through the entire SDLC (from planning to release).
● Reduce bottlenecks across functions (including Product) by mapping handoffs across Eng/Product/QA/DevOps/Support/CS and removing blockers to improve cycle time, throughput, carryover, and blocker age.
● Create visibility with data by publishing concise weekly delivery health updates (status, deltas, decisions, risks) dashboards. Provide heads-up and enablement notes for Product, Support, and CS.
● Lean agile enablement by facilitating planning/standups/reviews as needed. Tune ceremonies to be lightweight and outcome-focused. Step into the scrum master role when needed.
● Own P0/P1 bugs & strategic delivery: Single-threaded ownership of timelines, dependencies, and risks for strategic initiatives; run a fast-track protocol for P0/P1 issues (intake → triage SLAs → assignment → fix/verification → stakeholder updates)
● Lead our release process, ensuring high-quality releases on time and clear communication

We are looking for a talented Senior Product Designer to join our Platform Core team. As a key member of our team, you'll help shape the future of our product used by thousands of users. In this role, youll drive the design of core product experiences from concept to execution, solving complex design problems. Youll work closely with cross-functional teams to shape product strategy, elevate the user experience, and ensure cohesive, high-quality design across every touchpoint.
Key Responsibilities
Lead the design of end-to-end product experiences, from early discovery and user research to high-fidelity design and final implementation.
Translate complex problems into elegant, user-friendly solutions that deliver real value to our users.
Collaborate closely with product managers, engineers, and other partners to shape product strategy and define the user experience.
Use data, research, and empathy to inform design decisions and continuously iterate on features.
Create and maintain high-quality design deliverables in Figma, ensuring clarity, consistency, and scalability across the product.
Advocate for design excellence and consistency across the product, ensuring high visual and interaction quality.
Support other designers through feedback and collaboration, contributing to a strong, inclusive design culture that empowers others.