Staff Product Manager, Enterprise AI Agents

company:Weedmapslocation:New York City, NY (Hybrid)remote:Hybridcomp:$194,200 - $214,704

# editor_note · curation

Enterprise-focused AI role applying agents and RAG to business process automation.

source_signals.ymlwhat justified inclusion

✓Implementation Prototyping:Use AI-native tools (Cursor

✓signal_2:Replit) to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs

✓Technical Literacy:Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment

✓Golden Set Curation:Create and version-control "Golden Sets"—definitive datasets derived from our internal enterprise data—to grade AI performance in real-world business scenarios

✓signal_5:Understanding of LLM constraints (context windows

✓signal_6:hallucinations) specifically as they relate to integrating RAG implementations into functional business workflows

tagsarchetype + ai-native surface

#agent building#RAG#prototyping#workflow automation#product ops#eval/grading

descriptionsource excerpt

Staff Product Manager, Enterprise Business Applications (Hybrid 2-3 days per week onsite)

Overview:

This role leads the application of AI across Weedmaps' enterprise systems, combining product ownership with hands-on experimentation to transform how business processes operate. The individual will prototype, validate, and scale AI-driven solutions across Salesforce, FinancialForce, and other platforms, focusing on automating complex workflows and improving data consistency. Success in this role requires both strategic judgment and technical fluency—using AI-native tools to rapidly test ideas and drive clarity for engineering teams. This role is a critical bridge between emerging AI capabilities and real-world business impact.

The impact you'll make:

Enterprise AI Roadmap: Own a roadmap that prioritizes AI-powered enhancements specifically for SaaS Ecosystems (Salesforce, FinancialForce, Namely) and internal business process automation

Workflow Integration: Partner with business units to identify manual bottlenecks in Finance, HR, and Sales applying AI to automate complex Order-to-Cash processes, etc.

Implementation Prototyping: Use AI-native tools (Cursor, Replit) to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs

Operational Standards: Define 'Error Budgets' and accuracy standards for AI outputs within business-critical systems, ensuring brand voice and data integrity are maintained

Golden Set Curation: Create and version-control "Golden Sets"—definitive datasets derived from our internal enterprise data—to grade AI performance in real-world business scenarios

What you've accomplished:

Experience: Staff level: 8+ years; Principal level: 12+ years of experience in Product Management for Enterprise Applications or Business Systems Analyst

Domain Expertise: Proven track record of delivering high-impact features within SFDC, FinancialForce, or Namely ecosystems

Technical Literacy: Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements and reduce ambiguity for Engineering

AI Application: Understanding of LLM constraints (context windows, hallucinations) specifically as they relate to integrating RAG implementations into functional business workflows

Platform Mastery: Deep experience with Salesforce AI (Einstein) or Namely

Business Transformation: Knowledge of Order-to-Cash (O2C) transformation and revenue operations

The base pay range for this position is $194,200 - $214,704 per year