Principal Software Engineer MarTech
About The Position
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Responsibilities Design and implement AI-driven systems, including agent-based architectures and workflow orchestration that automate and optimize marketing and GTM processes Lead the end-to-end delivery of complex MarTech initiatives, from technical design through implementation and operational readiness Build and evolve intelligent workflows that combine LLMs, rules, tools, and data signals to support personalization, lifecycle marketing, and operational automation Own full-stack solutions spanning user interfaces, APIs, backend services, data pipelines, and AI integration layers Partner closely with product managers and stakeholders to translate business needs into scalable technical designs Influence architecture and implementation decisions within and across teams by clearly articulating tradeoffs and design rationale Promote strong engineering practices, including code quality, testing, observability, and system reliability Mentor senior and mid-level engineers, helping raise the bar on design quality and end-to-end ownership Identify opportunities to reduce manual effort, simplify integrations, and replace brittle workflows with durable platform capabilities Stay current on advances in AI agents, orchestration patterns, and full-stack technologies, applying them thoughtfully where they add clear value Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 10 or more years of experience in software engineering, with strong full-stack development experience Hands-on experience integrating LLMs in production systems, including prompt design, tool calling, and evaluation approaches Demonstrated experience building AI agent–based systems in production, including orchestration of LLMs, tools, and workflows Strong backend engineering skills using languages such as Java, Kotlin, Python, or Node.js Solid frontend experience with modern frameworks such as React or similar Experience building and operating distributed systems on cloud platforms such as AWS, Azure, or GCP Familiarity with event-driven architectures, asynchronous processing, and data streaming patterns Experience with containerization and orchestration technologies such as Docker and Kubernetes Ability to lead technical initiatives and influence peers through strong engineering judgment and clear communication Preferred Qualifications Experience applying AI systems to marketing, customer engagement, or GTM workflows Exposure to vector databases, embeddings, retrieval-augmented generation, or feature stores Understanding of data governance, privacy, and compliance considerations in enterprise environments Experience working in agile development environments A track record of improving system reliability, scalability, or developer productivity through thoughtful design Compensation Disclosure 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. $167,000.00 - $270,500.00/yr Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position. Please use this form to provide us with information that will help direct your request and find your data in all of our systems
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 10 or more years of experience in software engineering, with strong full-stack development experience
- Hands-on experience integrating LLMs in production systems, including prompt design, tool calling, and evaluation approaches
- Demonstrated experience building AI agent–based systems in production, including orchestration of LLMs, tools, and workflows
- Strong backend engineering skills using languages such as Java, Kotlin, Python, or Node.js
- Solid frontend experience with modern frameworks such as React or similar
- Experience building and operating distributed systems on cloud platforms such as AWS, Azure, or GCP
- Familiarity with event-driven architectures, asynchronous processing, and data streaming patterns
- Experience with containerization and orchestration technologies such as Docker and Kubernetes
- Ability to lead technical initiatives and influence peers through strong engineering judgment and clear communication
Nice To Haves
- Experience applying AI systems to marketing, customer engagement, or GTM workflows
- Exposure to vector databases, embeddings, retrieval-augmented generation, or feature stores
- Understanding of data governance, privacy, and compliance considerations in enterprise environments
- Experience working in agile development environments
- A track record of improving system reliability, scalability, or developer productivity through thoughtful design
Responsibilities
- Design and implement AI-driven systems, including agent-based architectures and workflow orchestration that automate and optimize marketing and GTM processes
- Lead the end-to-end delivery of complex MarTech initiatives, from technical design through implementation and operational readiness
- Build and evolve intelligent workflows that combine LLMs, rules, tools, and data signals to support personalization, lifecycle marketing, and operational automation
- Own full-stack solutions spanning user interfaces, APIs, backend services, data pipelines, and AI integration layers
- Partner closely with product managers and stakeholders to translate business needs into scalable technical designs
- Influence architecture and implementation decisions within and across teams by clearly articulating tradeoffs and design rationale
- Promote strong engineering practices, including code quality, testing, observability, and system reliability
- Mentor senior and mid-level engineers, helping raise the bar on design quality and end-to-end ownership
- Identify opportunities to reduce manual effort, simplify integrations, and replace brittle workflows with durable platform capabilities
- Stay current on advances in AI agents, orchestration patterns, and full-stack technologies, applying them thoughtfully where they add clear value
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What This Job Offers
Job Type
Full-time
Career Level
Principal
