Principal Product Manager - Business AI

Principal Product Manager - Business Applications AI

Explicitly requires vibe-coding skills—hands-on prototyping with tools like Cursor and Lovable to build AI-native agent workflows.

Lead the AI product strategy for enterprise business applications, owning roadmaps and delivering AI-native prototypes that automate critical workflows across sales, finance, support, and customer success. Drive cross-functional implementation, set operational standards and telemetry for AI outputs, and validate solutions through hands‑on 'vibe-coding' prototypes before engineering handoff.

Principal Product Manager focused on Business Applications AI responsible for defining and prioritizing an AI-powered roadmap for enterprise business applications (Sales, Licensing, Finance, Support, Customer Success, BI & Data Analytics). The role emphasizes hands‑on prototyping with generative AI and low‑code tools to validate agentic workflows and integrations with enterprise systems.

• Own and prioritize an enterprise AI roadmap tailored to business application domains (CPQ/Lead-to-Cash, Licensing/Entitlements, Revenue/Billing, Support workflows, Customer Success, BI).
• Partner with business leaders to identify manual bottlenecks and apply AI/agentic workflows to streamline journeys (Quote-to-Cash, License Provisioning, Financial Reconciliation, Ticket Deflection, Health Scoring).
• Build and iterate functional prototypes using AI-native tools (e.g., Cursor, Lovable, low-code platforms) to validate agent interactions with enterprise APIs before engineering handoff (“vibe-coding”).
• Define operational standards including error budgets, accuracy guardrails, compliance controls, and governance for AI outputs in business‑critical systems.
• Create and version‑control “Golden Sets” from enterprise data, logs, financial records, and telemetry to evaluate model performance in real‑world scenarios.

• Minimum qualifications:
  
  12+ years with a Bachelor’s; or 8+ years with a Master’s; or PhD with 5+ years in Product Management for enterprise applications, business systems, or Data/BI architecture.
• Mandatory hands‑on experience building functional prototypes, code snippets, or mock UIs using generative AI tools and no‑code/low‑code platforms.
• Strong SDLC knowledge and experience with Agile/Scrum, backlog grooming, sprint planning, and writing high‑quality user stories.
• Proven experience conducting Voice of Customer interviews and customer discovery in complex B2B environments.
• Technical literacy with GenAI tools: hands‑on experience turning prompts into constrained functional prototypes (vibe-coding) to validate requirements.
• Deep understanding of LLM mechanics and constraints (context windows, hallucinations), RAG architectures, and agentic workflows as they apply to enterprise processes.

• Experience with Salesforce Einstein, Workday Extend, SAP BTP, Gainsight, Snowflake, Databricks, Tableau/PowerBI, Salesforce Service Cloud, CPQ, SAP or Workday Financials.
• Domain experience across Sales & Revenue Ops, Licensing & Entitlements, Finance & ERP, Customer Support, Customer Success, Business Intelligence & Data, or large‑scale enterprise transformation.
• Analytical and “maker” mindset with a portfolio demonstrating AI‑driven enterprise solutions, automated workflows, or automated BI.

• Listed base salary range: $ - $ per year. Compensation may include restricted stock units and a bonus; sales/commissioned roles may include base salary + commission target.

• Role is based in Santa Clara, California (Palo Alto Networks Product Engineering). The company states most teams work from the office full time with flexibility when needed (office‑first model).

Product Management Road mapping Cross-functional Collaboration Stakeholder Management Prototyping (vibe-coding) SDLC Agile/Scrum Backlog Grooming Sprint Planning User Story Writing Voice of Customer / Customer Discovery Data Governance Telemetry Curation Compliance & Governance Analytical Thinking Leadership Project Management Technical Literacy with GenAI

USD 164,/year

Full‑time

• Potential commission (for sales/commissioned roles)
• Flexible work arrangements (office‑first with flexibility when needed)
• Reasonable accommodations for disabilities