Palo Alto Networks
Principal NPI Solutions Architect
Office - USA - CA - Headquarters · No · Principal · Full-time · Posted Jun 23, 2026
- Experience
- 8 years with a bachelor's degree, 6 years with a master's degree, or 3 years with a PhD.
- Education
- Bachelor's, master's, or PhD in Computer Science, Information Systems, Business Administration, or a related technical discipline.
- Visa sponsorship
- The role is not eligible for immigration sponsorship; work visa sponsorship is not provided.
About the job
Own end-to-end solution design for complex new product introductions, connecting business requirements to Opportunity-to-Cash systems and supporting launches through stabilization.
What you'll do
- Lead cross-functional discovery and architectural walkthroughs, enforcing a Design-First process before downstream implementation.
- Design integrations across Salesforce/CPQ, SAP ERP, and entitlement and licensing systems; improve quoting-to-billing automation and reduce technical debt.
- Translate business and monetization needs into implementable designs, coordinate stakeholders, and support new products through post-launch stabilization.
What they ask for
- Hands-on experience in Technical Product Management, Solution Architecture, or Systems Consulting focused on NPI and O2C flows.
- Strong technical and functional knowledge of CPQ platforms, including complex bundling, discounting, and guided selling.
- Deep experience with SAP ERP SD/Billing and FI/CO modules, and understanding of digital licensing, entitlements, and provisioning engines.
- Track record tracing a SKU through quoting, booking, provisioning, billing, and accounting; strong communication, negotiation, and alignment skills.
Nice to have
- Experience engineering recurring revenue, consumption/drawdown, ramp-deal, or enterprise license agreement models.
Tools
Salesforce CPQ, Callidus, SAP ERP, SD/Billing, FI/CO
AI focus
Evolve the NPI process using AI workflows and agentic orchestration; design business systems where AI agents use APIs to automate data extraction, ingest unstructured inputs, and trigger lifecycle workflows.
Model-written summary · the original posting is authoritative