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.
About the Role
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.
Job Description
Role
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.
Key Responsibilities
- 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.
Requirements
- 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.
Preferred Qualifications
- 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.
Compensation
- Listed base salary range: $164,000.00 - $266,000.00 per year. Compensation may include restricted stock units and a bonus; sales/commissioned roles may include base salary + commission target.
Location & Work Model
- 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).