Role Description
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, SAP, 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.
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Enterprise AI Roadmap:
Own a roadmap that prioritizes AI-powered enhancements specifically for SaaS Ecosystems (Salesforce, SAP, Namely) and internal business process automation.
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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.
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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.
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Operational Standards:
Define 'Error Budgets' and accuracy standards for AI outputs within business-critical systems, ensuring brand voice and data integrity are maintained.
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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.
Qualifications
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Experience: Staff level: 8+ years; Principal level: 12+ years of experience in Product Management for Enterprise Applications or Business Systems Analyst.
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Domain Expertise: Proven track record of delivering high-impact features within SFDC, SAP, or Namely ecosystems.
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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.
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AI Application: Understanding of LLM constraints (context windows, hallucinations) specifically as they relate to integrating RAG implementations into functional business workflows.
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Platform Mastery: Deep experience with Salesforce AI (Einstein) or Namely.
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Business Transformation: Knowledge of Order-to-Cash (O2C) transformation and revenue operations.
Requirements
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The base pay range for this position is $194,200 - $214,704 per year.
Benefits
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Physical Health (Medical, Dental & Vision)
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100% employer-paid premium for employees
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Up to 80% coverage for dependents
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Company HSA contribution with the High Deductible Health Plan
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401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
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Basic Life, Voluntary Life and AD&D Insurance options
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Supplemental, voluntary benefits
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Student Loan Repayment/529 Education Savings with a monthly company contribution
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FSA (Medical, Dependent, Transit and Parking)
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Voluntary Life and AD&D Insurance
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Critical Illness Insurance
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Accident Insurance
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Short- and Long-term Disability Insurance
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Pet Insurance
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Identity theft protection
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Legal access to a network of attorneys
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PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
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Paid parental leave