In this role, you will convert product frameworks—including feature prioritization models, roadmap planning structures, and internal feedback/Q&A triage systems—into structured parameters and deterministic spreadsheet logic. You will author, evaluate, and refine domain assets to ensure AI-generated product artifacts, feature specifications, and backlog scoring models meet elite industry standards.

Engagement type: Contractor.

• Domain Guidance & Guardrail Authoring: Define discovery parameters and operational guardrails for AI tools building product roadmaps, feature specifications, and user story backlogs.
• Golden Asset Verification: Build and validate reference product dashboards, RICE/MoSCoW scoring models, roadmap timelines, and Q&A triage boards in Google Sheets or Excel.
• Workflow & Dataset Co-Design: Design realistic product operations scenarios and validate domain context files, including PRDs, customer feedback logs, and release plans.
• AI Quality Audit & Sign-Off: Review, score, and refine AI-generated product artifacts to ensure complete alignment with professional B2B/B2C product management standards.

• Core Experience: 3+ years in product management or product operations.
• Bachelor's degree or equivalent practical experience in any field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection in a remote setup.

Shortlisted candidates will be sent a Job Interest Form.
Finalized talents will go through delivery review & proceeded further accordingly.

Work arrangement: Fully remote