Product Mangement SME

About this role

About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: We are seeking an AI Training Specialist (Product Management & Operations) to define domain quality standards and author foundational logic for product-focused AI tools. 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. Requirements: Core Experience: 3+ years in product management or product operations. Domain Expertise: Hands-on familiarity with prioritization frameworks (e.g., RICE, MoSCoW, Kano), roadmap planning, backlog grooming, and managing internal Q&A or feedback triage programs. Logic & Technical Translation: Strong, concise professional writing skills with a proven ability to translate feature scoring rules, triage logic, and roadmap constraints into deterministic spreadsheet formulas and structured parameters. Availability & Commitment: Talent must have weekend on-call availability (part-time engagement is acceptable). Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection in a remote setup. Responsibilities: 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. Education & Experience 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. Offer Details: Commitments Required: 40 hours per week with 8 hours of overlap with PST. Engagement type: Contractor Engagement Length: upto 2 weeks Availability: Talent must have weekend on-call availability (part-time engagement is acceptable). Evaluation Process - Shortlisted candidates will be sent a Job Interest Form . Finalized talents will go through delivery review & proceeded further accordingly.