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What the work is
Role Overview
We are looking for a Merchandising & Category Management Subject Matter Expert (SME) to design, evaluate, and calibrate high-fidelity domain tasks, retail scenarios, and benchmark solutions.
Depending on your depth of retail experience, candidates will be considered for an Expert Contributor (Merchandising / Category Manager) or a Senior Specialist / Reviewer (Senior Merchandising / Category Manager) track within our functional evaluation pods.
Who gets hired
- Experience: 3–15 years of hands-on experience in retail merchandising, buying, category management, or inventory allocation.
- Core Competencies:
- Demonstrated expertise in assortment architecture, product allocation, and merchandise financial planning.
- Practical experience creating and analyzing assortment plans, visual planograms, and promotional calendars.
- Strong command of foundational retail calculations (GMROI, turn, markdowns, margin impact, weeks of supply).
- Execution & Communication:
- Proven ability to work under peer review, adapt quickly to calibration feedback, and adhere to structured rubrics.
- Strong written communication skills to articulate clear solution rationales and step-by-step methodology breakdowns.
Responsibilities
- Benchmark Task Authoring: Design realistic, high-difficulty retail exercises, assortment planning scenarios, promotional strategy models, and planogram challenges with gold-standard solution sets.
- Rubric Application & Scoring: Apply evaluation rubrics established by the Functional SME (Expert) Lead to systematically assess and score retail planning submissions.
- Review & Calibration: Participate in peer calibration sessions, incorporate structured feedback, iterate on task designs, and help resolve edge cases in retail math or allocation logic.
- Commercial Modeling: Build and evaluate scenarios incorporating core retail KPIs, including sell-through rates, GMROI, open-to-buy (OTB), margin mix, and inventory turnover.
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: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
- Engagement type: Contractor
- Engagement Length: 12 weeks
Evaluation Process -
- Applicants needs to submit Job Interest Form & complete the assessment.
- Final selected candidates will be contacted with the next steps and onboarding requirements.
The platform posted this on 26 Oct 2026.