The Enterprise Architecture (EA) team works at the intersection of business and technology, shaping a unified view of the organization's capabilities, processes, data, applications, security, and overall technology landscape.
Responsibilities
Defining, supporting, and publishing Magna’s current- and future-state enterprise architecture across technology, processes, data, and security.
Embedding an AI‑first mindset into enterprise design and architectural decision-making.
Delivering actionable EA outputs in an agile, time-sensitive manner, ensuring alignment of initiatives with strategy, roadmaps, and the broader enterprise context.
Positioning EA as an internal management consultancy by providing services and expertise that support strategic decision-making and implementation.
Publishing Global IT’s enterprise reference architecture, including design guidelines and standards for target-state capabilities.
Requirements
University degree in Business Information Systems, Informatics, Business Administration, or a related discipline
Responsible for designing, developing, and implementing AI-based solutions, including intelligent agents to automate processes and optimize operational workflows to drive business efficiency and improve client experience.
Responsibilities
Design and develop autonomous AI agents and multi-agent systems to automate complex business processes.
Create RAG (Retrieval-Augmented Generation) architectures integrating vector databases, business knowledge, and external APIs.
Implement client management agents connected via MCP to critical applications (CRM, media platforms, analytics, etc.).
Automate operational workflows in Google Marketing Platform (GMP), advertising platforms, and reporting tools.
Develop generative AI solutions to improve communications, insight generation, and repetitive tasks.
Requirements
University degree in Engineering
University degree in Data Science
University degree in Computer Science or similar
Master/specialization in Data Science, AI or Generative AI (valued)
Nice to have: Experience in media agency, digital marketing, or advertising environments
Lead the design and oversight of the global marketing technology stack and data platform ecosystem, acting as the technical bridge between marketing and IT.
Compensation
$167,000.00 - $270,500.00/yr
Responsibilities
Be the principal marketing architect for the marketing technology stack, actively partnering with IT to design and execute the full end-to-end (E2E) vision.
Lead the MarTech council, serving as the primary technical Subject Matter Expert (SME) in marketing for the rigorous technical evaluation of proposed vendors and marketing use cases.
Act as the primary technical interface between Marketing and IT ensuring seamless solution design, implementation, and the proactive communication of MarTech stack requirements to Engineering/IT stakeholders.
Be the marketing lead, guide and direct the solution design and development of a fully integrated MarTech ecosystem, in collaboration with IT, to enable real-time omnichannel journey orchestration and facilitate agentic automation.
Provide technical leadership and oversight to ensure successful, compliant, and efficient Customer Data Platform (CDP) development and implementation.
Requirements
Nice to have: Agile Methodologies
Nice to have: Program Management
Nice to have: Cross-functional Relationship Development
Nice to have: Change Management
Nice to have: Rapid Growth Leadership
Principal Product Manager - Business Applications AI
Lead the AI roadmap and product strategy for business applications across multiple enterprise domains, driving innovation and impact in a cybersecurity context.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Responsibilities
Own and prioritize an AI-powered roadmap tailored to business applications across Sales, Licensing, Finance, Support, Customer Success, and BI & Data Analytics.
Partner with business leaders to identify bottlenecks and apply AI/Agentic workflows to streamline critical enterprise journeys.
Build and iterate on functional prototypes using AI-native tools and low-code platforms to validate AI agent interactions with enterprise APIs.
Define error budgets, accuracy guardrails, and compliance standards for AI outputs in business-critical systems.
Create and version-control Golden Sets to grade AI model performance in real-world business scenarios.
Lead and transform the software program management function for a global organization, building and managing a high-performing PMO and delivery teams across multiple regions.
Responsibilities
Own and lead enterprise-level transformation programs for the software organization
Define transformation roadmap and secure funding
Lead change management end to end
Build, lead, and mentor a high-performing team of program and technical program managers
Establish Software PMO operating model and governance framework
Requirements
Bachelor's degree in Engineering, Computer Science, or a related field
As a Principal Product Manager for our SASE solution, you will shape the strategy and roadmap for our core Prisma Access cloud infrastructure.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
Responsibilities
Spearhead the creation and deployment of a new public cloud security platform by enhancing and expanding Prisma Access.
Manage the entire product lifecycle, from conception and definition through development, release, and post-release activities.
Proactively collaborate and exchange information with Product Marketing to create compelling sales tools and marketing content.
Evangelize the product and product strategy both internally with sales and externally with customers and partners.
Work with legal, InfoSec, and engineering teams to ensure adherence to various privacy and data protection regulations.
Requirements
Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.
A passionate and self-driven Security Researcher Intern to develop and refine security content that powers next-generation products, building automation systems to gather and process real-time data for malware and threat detection.
Compensation
$129,100.00 - $208,825.00/yr
Responsibilities
Develop an understanding of next-generation firewalls and their application in modern network security.
Build and enhance automation systems for efficient data collection and real-time processing to support threat analysis.
Apply AI/ML techniques to analyze live network traffic for the detection, analysis, and mitigation of emerging security threats.
Research and propose effective network security countermeasures to identify and neutralize various cyber-attack vectors.
Proactively collaborate with senior security researchers to analyze adversarial tactics and contribute to the implementation of proactive security protections.
Requirements
Currently pursuing a 2-year Master’s degree or Doctorate in Computer Science, Electrical Engineering, or a related field
Intern to support the InfoSec Security Governance Risk & Compliance (GRC) Team in assessing security risks, supporting control design, and driving risk remediation.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
Responsibilities
Help demonstrate our commitment to security within the company
Analyze third party risk and support third party risk assessment activities leveraging Attack Surface Management tools such as Cortex Xpanse
Understand technical implementation details necessary to assess security controls
Assist with aligning and codifying controls to show how they are mitigating information security risk
Assist with daily activities and functions such as assessing third parties and operational controls for security risk
The role involves providing critical financial and analytical decision support to EMEA Sales organizations, focusing on financial health of Commercial Financing’s Sales business, and leveraging Generative AI to automate complex financial workflows and analytics.
Responsibilities
Provide Commercial Finance leader with insights and analytics translating raw data into 'the story' behind the business performance, identifying risks and opportunities
Apply strong problem-solving, agile methodologies and Generative AI to automate, remove bottlenecks/friction and optimise processes.
Draft and present compelling business cases for solutions, including relevant investment.
Lead and execute joint cross-functional (e.g., IT, Finance, Sales, Sales Operations) projects and programs to optimise processes and tools and build new solutions at a global level.
Collaborate with the Deal Desk and PAN Financial Solutions team to map business processes/workflows and identify bottlenecks.
Requirements
Masters degree in Data Science, Computer Science or related
Bachelor's degree in Data Science, Computer Science or related
Leading the design and delivery of next-generation scalable services, driving transition into AI-native engineering using Python, React, and GCP.
Compensation
The starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below $145,000.00 - $235,500.00/yr
Responsibilities
Drive architectural vision and deployment of high-quality, scalable software assets using Python and React
Architect and govern advanced agentic systems using Vertex AI Agent SDK, LangChain, or LangGraph
Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines
Define organizational strategy and architecture for data retrieval pipelines (vector embeddings, semantic search)
Establish enterprise-wide prompt engineering standards and LLM security frameworks
Requirements
Bachelor's degree in Computer Science or a related field