Principal MarTech SWE / AI Engineer

Palo Alto Networks

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $145,000–$235,500 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k

This role $190k

$133k most similar roles pay here $258k

This role pays less than 65% of similar roles. Most pay $168,593–$246,150 — the shaded band above. At the midpoint, this role pays about $190k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 30 open roles on FindRole.

Listed pay typically runs $154,000–$249,500 across 27 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Principal MarTech SWE / AI Engineer

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As a Principal MarTech Software Engineer at Palo Alto Networks, you will join a cutting-edge team focused on developing AI-driven marketing technology platforms that enhance automation and scalability in go-to-market strategies. Your primary responsibilities include designing and implementing complex AI systems and workflow orchestration to optimize marketing processes, while also leading the end-to-end delivery of initiatives from technical design through operational readiness. You will work closely with product managers and cross-functional teams to translate business needs into scalable solutions, ensuring high-quality engineering practices are maintained across user interfaces, APIs, backend services, data pipelines, and AI integration layers. The ideal candidate possesses extensive full-stack development experience, particularly in building AI-enabled systems using languages like Java, Python, or Node.js, along with expertise in modern frontend frameworks such as React. Additionally, familiarity with cloud platforms, event-driven architectures, and containerization technologies is crucial for this role that demands a blend of technical leadership and hands-on engineering excellence.

Skills

Python Java Kotlin Node.js React AWS Azure GCP Docker Kubernetes LLMs Event-driven architectures Asynchronous processing Data streaming patterns CI/CD Vector databases Embeddings Retrieval-augmented generation Feature stores

What you'll do

Design and implement AI-driven systems for marketing automation.
Lead end-to-end delivery of complex MarTech initiatives from design to operation.
Build intelligent workflows combining LLMs, rules, tools, and data signals.
Own full-stack solutions including user interfaces, APIs, backend services, and AI layers.
Mentor senior and mid-level engineers to enhance design quality and ownership.

What we're looking for

10+ years of full-stack software engineering experience
Proven track record in building AI agent-based systems for production use
Hands-on expertise with LLM integration and prompt design in production environments
Strong backend development skills using Java, Kotlin, Python, or Node.js
Solid frontend development experience with modern frameworks like React
Experience in cloud platform operations (AWS, Azure, GCP) and distributed systems
Leadership in technical initiatives and influence through clear communication

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