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we are looking for a Head of Purchasing and Deliveries.
The Head of Purchasing & Deliveries is responsible for the end-to-end operational lifecycle of our products. This role encompasses strategic sourcing and procurement to ensure production continuity, alongside the management of global logistics and final delivery to our customers. The ideal candidate will be a hands-on leader capable of managing complex vendor relationships while ensuring a seamless, compliant, and cost-effective global distribution network.
Position - Reporting to VP Operations
Responsibilities
Strategic Procurement & Sourcing
Vendor Management: Identify, audit, and manage global suppliers for electronics (PCBA), mechanics, and plastics.
Negotiation & Contracting: Lead commercial negotiations to reduce COGS, improve payment terms, and secure long-term Framework Agreements (MSA).
NPI & Engineering Interface: Work closely with R&D during New Product Introduction (NPI) to source components that meet technical and budgetary requirements.
Shortage & Risk Management: Proactively manage the supply chain to mitigate risks associated with component shortages, long lead times, and EOL (End of Life) parts.Global Deliveries
Order-to-Cash Ownership: Manage the fulfillment process from sales order receipt to final delivery, ensuring alignment with monthly and quarterly revenue targets.
Logistics & Freight: Oversee import to Israel (Air, Sea, and Express) and manage relationships with 3PL providers and freight forwarders.
Trade Compliance: Ensure all shipments adhere to Incoterms 2020, customs regulations, and export control laws (e.g., EAR, ITAR, Dual-Use).Operational Excellence & Leadership
Team Leadership: Manage and mentor a multidisciplinary team of buyers and logistics coordinators.
ERP Management: Ownership of the Priority environment for purchasing and shipping modules, ensuring 100% data accuracy.
KPI Performance: Develop and maintain departmental metrics, including OTIF (On-Time In-Full), Inventory Turnover, and PPV (Purchase Price Variance).

Who We Are: Incredibuild is the leading platform empowering developers and enterprises to radically accelerate their development cycles. We help world-leading brands like Microsoft, Citi Bank, GM, Amazon, and Adobe shorten build times, allowing for more iterations, faster product releases, and significant resource savings. Our technology streamlines and accelerates everything from compilation to release automation, dramatically expediting time to market for our clients. You aren’t just "fixing CI/CD pipelines" - you are building a robust Internal Developer Platform (IDP) and creating the tools that enable our engineers to ship high-performance code at scale. If you love writing clean code and get equally excited about a perfectly orchestrated Kubernetes cluster or an elegant Terra grunt module, you’ll fit right in.
What you'll do: Architect & Build: Take full ownership of our infrastructure, from backend services to cloud resources. Empower Developers: Develop and maintain our homegrown IDP , ensuring a seamless "golden path" for engineering teams. Scale the Stack: Design and manage scalable, reliable environments using AWS, Argo CD, and Helm. Automate Everything: Build sophisticated CI/CD workflows using GitHub Actions and manage stateful infrastructure with Terra grunt. Innovate: Evaluate and integrate new CNCF tools and internal utilities to keep our platform at the cutting edge.

In this role, you will be dedicated to safeguarding our clients data within the dynamic cloud landscape. As an expert in Data Security Posture Management (DSPM) for SaaS and DBaaS, you will develop cutting-edge solutions for data discovery, classification, and protection across platforms like Snowflake, Databricks and MongoDB Atlas. Your work will focus on proactively identifying and eliminating risks, ensuring our clients' sensitive information remains secure, compliant, and accessible only to authorized users, empowering them to grow their business securely.
Key Responsibilities
Drive innovation by designing and implementing impactful solutions that address client needs, contributing to the full feature development lifecycle from design to deployment.
Take ownership of specific feature segments, ensuring high-quality code and robust functionality through meticulous attention to detail and a focus on execution.
Proactively collaborate and exchange information with cross-functional teams, including product and infrastructure, to ensure seamless integration and alignment on shared objectives.
Challenge the status quo by generating innovative ideas and actively participating in brainstorming sessions to foster product and architectural improvements.
Actively engage in technical discussions, openly sharing knowledge and learning from others to solve complex problems and elevate team expertise.
Design and build highly scalable, resilient, and secure cloud-based applications and microservices.
Contribute to an agile and dynamic engineering culture, demonstrating a strong drive and outstanding communication skills to deliver results efficiently.

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

As a Senior Backend Engineer in the Data Management team, you will be instrumental in developing the core of our AI and data platform. You will design, develop, and maintain robust, high‑performance, and scalable backend services that support data‑driven and AI‑based solutions.

You will take part in solving complex technical challenges, optimizing system efficiency, and contributing to key architectural decisions that will shape the future of our platform. This role combines hands‑on backend development, deep problem‑solving, and close collaboration with cross‑functional teams.

You will:
Design, develop, and maintain scalable backend services for AI and data platforms.
Contribute to architecture and design decisions for distributed and high‑scale systems.
Build and maintain microservices and event‑driven systems.
Work with SQL and NoSQL databases to support data‑intensive workloads.
Debug, monitor, and improve production systems for performance and reliability.

The Sales and service business operations team is looking for a service Operations Specialist to support our service teams as we manage company growth and the service business expansion and to assist global service leadership in business data management with the day to day service administration and operational tasks.
This role is an integral part to the service organization enabling revenue growth and increasing service productivity by executing service operations activities and partnering with inter-organization functions
Responsibilities
What will you be doing:
Be responsible for the design, maintenance, administration, and support of our CRM platform, including customization of objects, fields, record types, page layouts and validation rules, workflows, process builder and flows, managing user setup, profiles, and roles, reports, and dashboards.
Perform data load and build reports, dashboards, and metrics, in addition to monitoring the quality, integrity, and validity of the data reported
Identify and resolve system failures to meet business needs, by leading revisions to business processes.
Support users in their day-to-day tasks.
Manage and expand relationships with internal and outsourced development partners on engineering design and development.
Order Management and fulfilment process from order entry to shipment, manage price quotations, contracts, sales orders, parts handling, RMA.
Follow data-driven approach, manage and analyze reports on daily, weekly, monthly and quarterly basis to follow up and control delivery, revenue, forecast, etc.

Join us as a Product Lead - Data & ML on our Product Management team in Glil Yam to do the best work of your career and make a profound social impact.

As a Product Lead - Data & ML, you will be responsible for defining and delivering data-management and AI/MLOps capabilities within a data-intensive platform. You will work with cross-functional engineering, architecture, and external partner teams to drive advanced data and machine learning solutions that power enterprise-grade products.

You will:
Lead the full product lifecycle- from ideation and prioritization to design, planning, and delivery of AI/ML and data platform capabilities.
Define requirements and translate complex business needs into scalable product features in collaboration with engineering and architecture teams.
Drive MLOps and data platform initiatives, ensuring high-quality, production-ready solutions.
Collaborate with external clients and partners to deliver best-in-class solutions and align on product vision.

We are seeking a detail-oriented, self-driven Security Analyst, based in Israel, to join the Risk and Compliance team and operate ISO-aligned Event Management Process end-to-end. This role is the front door for security events - the person who makes sure that every reported security event (from employees, vendors, and automated monitoring) is triaged, classified, escalated where required, and closed with documented evidence.
The Security Analyst is both an operator and a process owner. This is an excellent entry-point role for a Computer Science graduate or similar background person looking to build a foundation in security operations and compliance. You will run the daily flow of events, partner with Corporate IT, R&D/DevOps, and the CISO to drive down events, implement improvements and take corrective and preventive actions. You will report directly to the Chief Information Security Officer and work closely with the broader employee base engaging them directly.
This role covers five primary pillars: Security Event Intake and Triage; Classification, Escalation and Coordination; Process Operations and Continuous Improvement and Ai Automation.
This is a temporary position with an hourly pay.

We are looking for a sharp, driven, and highly organized Marketing Operations Specialist to join our growing marketing team. IIf you are a natural problem solver who loves connecting systems, organizing data, and figuring out how things work, this is an opportunity to join a successful company and grow your career within marketing operations.
As a member of the team, you wont be expected to know everything on day one. However, you must be a relentless self-learner, highly resourceful, and incredibly organized. You will play an important role in executing our marketing campaigns, managing our lead data, and automating workflows that keep marketing and sales running smoothly.
Responsibilities:
Execute Campaigns in HubSpot: Build, test, and deploy email marketing campaigns, manage list segmentations, and set up marketing automation workflows.
Execute Advertising Campaigns: Work alongside our advertising manager to build and update online advertising campaigns.
Creative Problem Solving through Automation: Work with tools like Claude, Zapier and n8n to architect creative workarounds, bridge system gaps, and automate processes that make our marketing data more intelligent and our team more agile.
Maintain CRM Health: Handle day-to-day data entry, mapping, and cleanup between HubSpot and Salesforce to ensure seamless alignment between Marketing and Sales.
QA & Troubleshooting: Meticulously test marketing links, forms, email layouts, and automation logic before they go live to ensure a flawless user experience.
Documentation: Create and maintain clear, step-by-step documentation for internal processes and system setups.

The Cortex Threat Intelligence team is responsible for maintaining an up-to-date overview of the ever-changing threat landscape and its effects on the Cortex product suite. This includes the collection, analysis, and dissemination of technical threat intelligence from multiple internal and external sources. As part of this role, you will identify detection opportunities, automate threat intelligence processes, and develop tools and methodologies to increase team productivity. Palo Alto Networks Cortex XDR is a market-leading platform with an almost unparalleled telemetry data lake. Our team is deeply data-driven; it is the ideal environment for analysts who are enthusiastic about data mining, tracking threat actors, and deconstructing complex cyberattacks.
Key Responsibilities
Monitor the global threat landscape using diverse sources to proactively identify potential coverage gaps and improve Cortex XDRs defensive posture.
Perform in-depth research into cyberattack techniques to provide actionable insights and suggestions for improving product capabilities.
Leverage Palo Alto Networks telemetry datasets to identify emerging attack patterns and hunt for novel threats.
Design and propose robust detection logic across multiple operating systems (Windows, macOS, Linux).
Partner with cross-functional teams within Palo Alto Networks to communicate findings and co-develop security enhancements.
Transform technical intelligence into high-impact deliverables, including customer-facing reports, research articles for the company blog, or presentations at international security conferences.

The team is responsible for developing and improving our Linux anti-malware prevention. This includes having top-notch knowledge about the latest malware families in the wild, Linux internals, different attack frameworks and hacktools. As part of this, the team analyzes customer data and issues to prevent malicious activities in our customer's environment, and help to improve the product.
Key Responsibilities
Research and analyze malware and keep up-to-date on the most recent tactics and techniques used in the wild
Create behavioral-based protection that enhances our product's coverage
Leverage Palo Alto Networks massive collection network to identify coverage gaps and emerging threats
Assist in the design, research, evaluation and implementation of new security technologies and features
Work in close coordination with other teams, including both development and other research teams, as well as support, sales and other cross-functional teams.

we are looking for a Big Data Engineer.
As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.

As a Principal Software Engineer, you will be a technical trailblazer responsible for the architecture and evolution of our automation ecosystems. This role requires a visionary who can bridge the gap between emerging LLM research and production-grade reliability. You will define the technical foundations that enable autonomous security workflows, ensuring our platform is forward-compatible with the rapidly evolving Agentic AI landscape.
Your Impact
Architectural Leadership: Define and own the technical vision for the Cortex Platforms automation foundations and Agentic AI integrations.
System Design for Autonomy: Architect highly resilient and non-deterministic systems, designing abstract frameworks that optimize security workflows for autonomous planning and execution.
Advanced Problem Solving: Define the right technical approach for emerging challenges where no proven solution yet exists, specifically addressing LLM limitations like latency, hallucinations, and determinism.
Scalable Engineering Standards: Define global technical standards for the platforms automation ecosystem, merging advanced CI/CD governance with robust telemetry and metrics to track execution health across thousands of production tenants.
Technical Alignment: Align diverse engineering stakeholders around a single, cohesive technical direction for platform-wide automation and integration features.
Strategic Reliability: Drive step-function improvements in system reliability and quality, establishing a technical roadmap that anticipates the next generation of Agentic Response.