
10,000+ employees
🔒 Cybersecurity
🏢 Enterprise
💰 $1M Seed Round - Morta Security on 2013-02
Cybersecurity • Enterprise
Palo Alto Networks is a global cybersecurity company that provides AI-driven platforms, products, and services to protect networks, cloud workloads, endpoints, and applications. Its portfolio includes next-generation firewalls, SASE and Prisma Cloud (CNAPP) offerings, the Cortex security operations suite (XDR, XSOAR, XSIAM), and Unit 42 threat intelligence and incident response services. Palo Alto Networks helps enterprises secure AI deployments, automate SOC workflows, and prevent, detect, and respond to sophisticated threats across hybrid and multi-cloud environments.
🔥 20 hours ago
🏄 California – Remote
💵 $175.2k - $240.9k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Palo Alto Networks's careers page, not through a job board
First seen by Remote Rocketship 20 hours ago
Still open on Palo Alto Networks's site. Checked 1 hour ago.

10,000+ employees
🔒 Cybersecurity
🏢 Enterprise
💰 $1M Seed Round - Morta Security on 2013-02
Cybersecurity • Enterprise
Palo Alto Networks is a global cybersecurity company that provides AI-driven platforms, products, and services to protect networks, cloud workloads, endpoints, and applications. Its portfolio includes next-generation firewalls, SASE and Prisma Cloud (CNAPP) offerings, the Cortex security operations suite (XDR, XSOAR, XSIAM), and Unit 42 threat intelligence and incident response services. Palo Alto Networks helps enterprises secure AI deployments, automate SOC workflows, and prevent, detect, and respond to sophisticated threats across hybrid and multi-cloud environments.
• Serve as the leading expert on AI Security services • Guide customers in securing AI and ML pipelines from development through runtime • Lead customer-facing projects deploying and operationalizing the Prisma AIRS suite • Establish standardized methodologies for securing AI and LLM technologies • Design and implement security solutions against LLM threats such as model poisoning, prompt injection, and data evasion • Develop and deliver technical workshops, best-practice guides, runbooks, training, and strategic recommendations • Create and maintain technical documentation, delivery templates, and reusable intellectual property • Collaborate with Product Management and Engineering to shape AI security products • Provide field feedback to Product, GTM, and Engineering teams and support beta testing • Serve as a trusted advisor and troubleshoot complex customer and product issues • Develop standardized deployment processes to improve consistency and customer time-to-value • Travel to Palo Alto Networks offices for workshops and potentially customer sites
• BS in Computer Science or equivalent education/training/experience • 5+ years of experience in a customer-facing technical role • 3+ years of experience with public cloud platforms architecture and security solution development using Azure, AWS, and GCP • Experience with cloud networking, LLM applications, and automation • Hands-on experience with AI/ML concepts, TensorFlow, PyTorch, and the MLOps lifecycle • Solid understanding of Large Language Models and AI application security challenges • Experience in AI Security, adversarial ML techniques, AI red teaming, or securing ML pipelines is a significant differentiator • Proficiency in Python and Terraform for scripting and automation • Knowledge of Docker and Kubernetes is a key differentiator • Strong background in network security concepts including routing, stateful inspection, encapsulation, SSL/TLS, IPSec, and decryption • Exceptional communication and presentation skills • Experience developing and delivering technical workshops and training sessions • Strong consulting acumen and trusted-advisor capability • Advanced troubleshooting and analytical skills • Ability to create and maintain technical documentation, best-practice guides, runbooks, and delivery templates • Ability to create reusable intellectual property • Experience working cross-functionally with Product Management and Engineering • Skill in gathering, synthesizing, and articulating field feedback • Experience developing and implementing standardized deployment processes and methodologies • Willingness to travel 30–40% to Palo Alto Networks offices and potentially customer sites • No immigration sponsorship; applicants must not require work visa sponsorship
• Restricted stock units may be included • Bonus may be included • Employee benefits are available (specific benefits not listed)
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