Enterprise Product Management Specialist - AI Trainer

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. #J-18808-Ljbffr Obsidian