Product Management Expert (Train AI Models Part Time!)

**Role Overview** - Mercor is seeking senior product management professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise product contexts. - The workflows are calibrated to the product scale, stakeholder complexity, and market stakes of Fortune 500 and large public company product organizations. - Contributors design enterprise product scenarios, draft reference outputs, and write rubrics that capture how senior F500 product leaders think. **Key Responsibilities** - Construct enterprise product scenarios spanning multi-quarter roadmap planning, cross-functional stakeholder alignment, and complex go-to-market or platform decisions at F500 scale. - Build product tasks across F500 product strategy, discovery and user research, pricing and packaging, platform/API product management, and product-led growth. - Develop product operations scenarios involving tools such as Jira/Productboard, Amplitude/Mixpanel, Figma, and enterprise experimentation platforms in F500 stacks. - Apply enterprise product methodologies (JTBD, RICE/opportunity scoring, dual-track agile, OKRs) and produce reference PRDs, roadmap strategies, and executive-level product narratives. - Author rubrics that distinguish authentic enterprise product judgment from generic framework or bootcamp-level recall. **Ideal Qualifications** - 5+ years as a product manager or product leader at a Fortune 500 technology or enterprise organization (Google, Amazon, Microsoft, Salesforce, Adobe) or inside an F500 product organization at a non-tech enterprise (JPMorgan, UPS, Unilever, PepsiCo). - Direct ownership of F500-scale products, platforms, or product lines with measurable business impact. - Fluency in enterprise product tooling and methodologies, plus understanding of how F500 budgets, cross-functional governance, and executive stakeholder alignment actually work. - Prior rubric, product-training curriculum, or PRD/documentation authorship is a plus.