Principal Product Manager, Business Applications AI

Palo Alto Networks

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$164,000–$266,000 / yr
Posted
12 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $215k
$150k most similar roles pay here $278k

This role pays more than 60% of similar roles. Most pay $177,250–$238,837 — the shaded band above. At the midpoint, this role pays about $215k versus about $208k 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 34 open roles on FindRole.

Listed pay typically runs $159,000–$257,750 across 32 roles with salary data.

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View all roles at Palo Alto Networks

At a glance

TL;DR · Principal Product Manager, Business Applications AI

Principal Product Manager - Business Applications AI joins the team to own and prioritize an AI-powered roadmap tailored to business applications across sales, finance, support, and data analytics. The role involves identifying manual bottlenecks and implementing AI and agentic workflows to streamline critical enterprise journeys like quote-to-cash and license provisioning. You will build functional prototypes using tools such as Cursor, Lovable, and low-code platforms to validate how AI agents interact with enterprise APIs before engineering handoff. Key responsibilities include defining error budgets, curating golden sets for model grading, and ensuring compliance standards. Required skills include expertise in LLM mechanics, RAG architectures, and the full software development lifecycle. Experience with Salesforce, Workday, SAP, Snowflake, or Databricks is preferred to solve complex problems in revenue operations, licensing, and business intelligence.

What does a Product Manager earn in California?

Median $223300 from 163 postings across 44 companies.

See salary data

What you'll do

  • Own and prioritize an AI-powered roadmap for business applications across sales, finance, support, and data analytics.
  • Identify manual bottlenecks and implement AI/Agentic workflows to streamline critical enterprise journeys like Quote-to-Cash.
  • Build and iterate on functional prototypes using AI-native tools and low-code platforms to validate requirements before engineering handoff.
  • Define error budgets, accuracy guardrails, and compliance standards for AI outputs in business-critical systems.
  • Create and version-control "Golden Sets" of internal data to grade AI model performance in real-world scenarios.
  • Manage the full software development lifecycle including backlog grooming, sprint planning, and writing high-quality user stories.

What we're looking for

  • Minimum of 12 years experience with a Bachelor's degree, 8 years with a Master's, or 5 years with a PhD in relevant fields.
  • Mandatory hands-on experience building functional prototypes and code snippets using generative AI tools and no-code/low-code platforms.
  • Expertise in the full software development lifecycle (SDLC), including Agile/Scrum methodologies and backlog grooming.
  • Proven experience conducting "Voice of Customer" interviews and customer discovery in complex B2B environments.
  • Technical proficiency in using GenAI tools to turn prompts into functional prototypes to validate requirements for engineering teams.
  • Deep understanding of LLM mechanics, including context windows, hallucinations, RAG architectures, and Agentic workflows.
  • Experience with enterprise platforms such as Salesforce AI, Workday Extend, SAP BTP, Gainsight, or cloud data stacks like Snowflake and Databricks.
  • Track record of delivering high-impact features in domains like Sales/Revenue Ops, Finance & ERP, or Business Intelligence.

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