AI-First IT Product Manager: Enterprise Implementation (Staff-Principal)
Explicitly requires vibe-coding skills; uses Cursor and Replit to build AI-native prototypes and integrate LLM/RAG into workflows.
About the Role
Staff/Principal AI-First IT Product Manager to own AI-powered roadmaps and enterprise implementations across SaaS ecosystems (Salesforce, SAP, Workday). Lead cross-functional efforts to prototype AI agents, define operational standards (error budgets, golden sets), and drive AI-enabled automation for core business workflows.
Job Description
Role
This Staff/Principal Product Management role leads AI-first IT transformation for enterprise applications. The primary mission is to define and execute an AI-powered roadmap that accelerates automation and AI augmentation across SaaS ecosystems (Salesforce, SAP, Workday) and core business processes.
Key Responsibilities
- Own the enterprise AI roadmap focused on AI enhancements for SaaS ecosystems and internal process automation.
- Partner with business units to identify manual bottlenecks (Finance, HR, Sales, Marketing) and apply AI to automate Lead-to-Cash and Hire-to-Retire workflows.
- Build and iterate functional prototypes using AI-native tools to validate how AI agents interact with standard and proprietary enterprise APIs.
- Define operational standards for AI outputs, including error budgets and accuracy standards to preserve brand voice and data integrity.
- Curate and version-control “Golden Sets”—definitive datasets from internal enterprise data—to evaluate AI performance in real business scenarios.
Requirements
- Experience: Staff level: 8+ years; Principal level: 12+ years in Product Management for enterprise applications or business systems.
- Domain expertise delivering features in SFDC (Salesforce), SAP, or Workday ecosystems.
- Technical literacy with mandatory hands-on experience using GenAI tools (vibe-coding) to create constrained prototypes that validate requirements and reduce engineering ambiguity.
- Familiarity with LLM constraints (context windows, hallucinations) and integrating Retrieval-Augmented Generation (RAG) implementations into business workflows.
Preferred Qualifications
- Deep experience with Salesforce AI (Einstein), Adobe Experience Cloud, or Workday Extend.
- Knowledge of Quote-to-Cash (Q2C) transformation and revenue operations.
- Analytical, maker-oriented mindset with a portfolio demonstrating AI-orchestrated business solutions.
Compensation & Location
- Salary range (posted): $141,000.00 - $229,000.00 per year.
- Location: Santa Clara, California. Office-first model with flexibility when needed.
- Compensation may include restricted stock units and a bonus; final offer depends on qualifications, experience, and work location.
Other
- Role is not eligible for immigration sponsorship.
- The position emphasizes cross-functional collaboration with IT strategy, engineering, and business units to operationalize AI at enterprise scale.