Product Mangement SME

An older role: first posted 28d ago, and Turing still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.

What the work is

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.

Who gets hired

• 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.

Pay

See listing, fully remote. How payouts and tax work.