Senior AI Agents for Branch Operations Product Manager

Jobs Paloaltonetworks

Santa Clara (CA)

On-site

GBP 134,000 - 216,000

Full time

5 days ago
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Job summary

Palo Alto Networks is seeking a Product Manager to build AI agents that handle day‑to‑day branch operations, including troubleshooting, posture checks, and software upgrades. You will own the product strategy and collaborate with engineering, design, and customers across NGFW, SASE, and SD‑WAN.

You will write specs, design UX, talk to customers weekly, and help drive revenue through direct enterprise and partner channels. Strong AI/ML experience and networking knowledge are essential.

Qualifications

  • 7+ years of product management experience in networking, network security, or IT infrastructure.
  • Experience shipping management, monitoring, or troubleshooting SaaS products.
  • Experience with AI, machine learning, or large language models.
  • Experience with AI agents is a strong plus.
  • Strong networking basics: TCP/IP, routing, DNS, DHCP, VLANs.
  • Good understanding of branch security: firewalls, SASE, SD‑WAN, and identity‑based access.
  • Experience building product strategy end to end: market sizing, positioning, pricing, and business cases.
  • Experience taking products to market through direct enterprise sales and through partners such as resellers, MSPs, and MSSPs.
  • You write your own specs and build your own prototypes.
  • Clear writing and speaking. You can explain technical ideas to engineers, executives, and sales teams.
  • You work well with others, take ownership, and are comfortable when the plan isn’t fully defined yet.
  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

Responsibilities

  • Set the product strategy and roadmap for AI agents that run branch operations: troubleshooting, posture checks, configuration health, and software upgrade recommendations.
  • Start from the customer’s problem, not the existing workflow. Figure out which tasks admins should never have to do by hand again.
  • Talk to network admins, security teams, MSPs, and support engineers to learn how branch problems are found and fixed today, and where it goes wrong.
  • Write clear PRDs and user stories. Spell out what each agent does, what data it uses, when it acts on its own, and when it asks a person for approval.
  • Design how people work with agents. Build mockups and prototypes yourself, and test them with customers before engineering starts.
  • Make sure agents explain their findings and actions so admins can check the work and trust it.
  • Define safety rules for agents that make changes on live networks, including approvals, limits, and rollback.
  • Track whether it’s working: accuracy, time to fix issues, tickets avoided, upgrade success, and adoption. Use the results to decide what to build next.
  • Define packaging and pricing so these features grow revenue and adoption.
  • Help sell to large enterprise customers: lead briefings, run design partner programs, and turn early users into references.
  • Make the product work for partners and MSPs, including multi‑tenant management, delegated access, and a business model they can resell.
  • Build sales and partner enablement: demos, playbooks, competitive comparisons, and training.
  • Work closely with engineering, AI/ML, design, support, sales, marketing, and channel teams, and with other product teams across NGFW, SASE, and SD‑WAN.

Skills

Product management
Networking knowledge
AI / ML experience
SaaS for enterprises
Stakeholder communication
Spec writing

Education

Bachelor’s degree

Job description

Palo Alto Networks is seeking a Product Manager to build AI agents that handle day‑to‑day branch operations, including troubleshooting, posture checks, and software upgrades. You will own the product strategy and collaborate with engineering, design, and customers across NGFW, SASE, and SD‑WAN.

You will write specs, design UX, talk to customers weekly, and help drive revenue through direct enterprise and partner channels. Strong AI/ML experience and networking knowledge are essential.

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