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Palo Alto Networks is looking for a seasoned and accomplished Engineering Manager to join the Identity Security organization. Identity is the new perimeter, being the leading attack vector in modern breaches. You will be leading a SaaS Identities Team, a group of talented engineers dedicated to solving the complex problem of securing identities across the fragmented SaaS ecosystem.
In this role, you will lead the development of a cutting-edge engine responsible for Identity Risk Analysis, Posture Management, and Remediation. Your team will build systems that ingest massive amounts of entitlement data, analyze complex permission graphs, and detect over-privileged users or risky behaviors across critical SaaS applications and Cloud environments. You will collaborate with Product Management, Security Researchers, and Data Scientists to define how the world's largest enterprises secure their digital identities.
Key Responsibilities
Hands-On Engineering Leadership: Drive a results-oriented culture with a strong focus on execution, quality, and speed. Build a high-performing team by hiring, mentoring, and developing engineers to their full potential.
Technical Strategy: Lead the architecture and delivery of complex data pipelines and analytical engines that assess Identity Risk.
Innovation: Collaborate with the team to solve difficult problems related to Entitlement Management, effective permissions calculation, and graph-based risk analysis.
Product Evolution: Partner with product management to translate complex security requirements (like Least Privilege enforcement) into scalable product features.
Operational Excellence: Lead an engineering excellence mindset, ensuring the high availability, scalability, and performance of the SaaS platform.
Evangelism: Evangelize the product vision internally and externally. Champion the importance of Identity Security within the broader Cortex Cloud ecosystem.

We are looking for a Senior Security Researcher to join our Identity Threat Detection and Response team. In this role, you will research the evolving threat landscape and develop advanced detections to protect SAAS, Cloud, on-premises, and hybrid identities. You will focus on identifying and mitigating identity-related threats across networks, endpoints, and cloud environments, using statistical classification methods to build effective detection models and protecting customers at scale. Additionally, you will collaborate with cross-functional teams, validate detection concepts on real-world data, and continuously enhance detection capabilities to stay ahead of emerging threats.
Key Responsibilities
Research innovative methods for detecting targeted attackers operating in endpoints, networks, cloud and SAAS environments.
Simulate real-world attacks in lab environments and conduct a deep analysis of the behavior.
Develop and refine statistics-based classification algorithms and techniques to create and improve detection models.
Research specific scenarios to enhance our model's capabilities.
Collaborate within a diverse research group, improving our research processes and leading us to be a better team creating a better product.
Stay informed on the latest APTs, attacker methodologies, and TTPs to ensure our models stay ahead of emerging threats.

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.

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 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.

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.