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We are looking for a highly motivated, service‑oriented student to join our IT Services team. The role reports to the IT Services APAC Team Leader. This position is a great fit for students or junior candidates who are curious, service‑oriented, and eager to gain hands‑on IT experience, even without prior formal experience in the field.

Position Details:
Part‑time position - minimum of 3 working days per week.
Approximately 27 hours per week.
On‑site role only.

Responsibilities
Support employee onboarding, including setting up laptops, user accounts, software, and peripherals.
Provide end‑user IT support and troubleshooting.
Handle IT requests through a ticketing system and provide on‑site support.
Diagnose and resolve basic hardware, software, operating system, and connectivity issues.
Assist with IT documentation, workflows, and internal guides.
Maintain office IT equipment and meeting room setups.
Help manage and track IT inventory.

We are looking for a passionate, highly technical, AI-driven and self-driven Senior Staff Product Owner (PO) to join our R&D department for our Privilege Cloud PSM team.
In this role, you will bridge the gap between high-level business requirements and engineering execution. You will own the entire development lifecycle-from product backlog management and functional design to successful production deployments.
As a pivotal leader in the R&D ecosystem, you will work closely with Engineering Group Managers , Product Management, Customers, Professional Services, and peer Product Owners to deliver world-class privilege access management (PAM) security solutions.
What You Will Do:
Backlog & Roadmap Ownership: Own the technical roadmap and product backlog for PSM, prioritizing features, tech debt, and non-functional requirements (NFRs) to support PSM business goals and deliver value to our customers.
Functional Design & Discovery: Translate complex business requirements into detailed functional designs, user stories, and acceptance criteria. Lead ongoing backlog refinement and grooming sessions.
Cross-Functional Collaboration: Serve as the primary technical focal point for R&D stakeholders and Product Management. Participate in select customer sessions to validate technical designs and understand real-world deployment challenges firsthand.
Project Orchestration: Partner with Team Leaders, Group Managers and other POs to coordinate and drive complex, cross-team projects to on-time delivery
AI-Augmented Product Workflows: Leverage modern Generative AI and product automation tools to accelerate backlog refinement, quickly draft robust user stories/acceptance criteria, and efficiently synthesize customer feedback.

We are seeking a Product Marketing Manager to join our dynamic Marketing team as a maternity leave replacement. As a key member of the Product Marketing organization, youll work closely with Product, Marketing, Sales, and Customer Success to craft compelling product messaging, positioning, and content that empower our go-to-market efforts to thrive. This role will primarily focus on owning and driving the success of our rapidly growing new products which are transforming the Office of the CFO.
What Youll Do:
Lead product marketing for our growth products, driving awareness, adoption, and engagement
Oversee the creation of high-impact content, including product collateral, sales enablement materials, and executive presentations. Your role will ensure that all messaging is clear, consistent, and compelling, resonating with both internal and external audiences.
Support demand generation campaigns, including paid campaigns, content initiatives, and events.
Become the authority on our market categories and buyer personas - particularly in the Office of the CFO - understanding their purchasing decisions and key buying criteria.

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.

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.