
2 - 10 employees
🤝 B2B
đź’Ľ Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
🔥 36 minutes ago
🗽 New York – Remote
đź’µ $55 - $75 / hour
⏰ Full Time
đźź Senior
⚙️ Operations
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2 - 10 employees
🤝 B2B
đź’Ľ Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
• Guide research and engineering teams on merchandising, category management, assortment planning, buying, and retail operations • Identify gaps in model understanding across pricing, inventory, promotions, customer demand, store performance, and commercial planning • Apply practical retail judgment to complex scenarios involving products, channels, suppliers, customers, and financial objectives • Design challenging, domain-relevant tasks grounded in real retail practice • Write accurate, well-reasoned solutions covering merchandising, category, buying, planning, and operational scenarios • Develop problems requiring commercial judgment, prioritisation, data interpretation, and evaluation of competing trade-offs • Evaluate AI-generated retail responses against established rubrics and scoring criteria • Assess correctness, commercial judgment, reasoning quality, relevance, and practical applicability • Compare alternative outputs and determine stronger retail recommendations • Identify factual errors, unsupported assumptions, weak commercial reasoning, and incomplete conclusions • Provide written feedback to improve model behaviour • Develop and refine evaluation guidelines and scoring criteria • Participate in calibration activities with other retail specialists • Collaborate across teams to maintain consistency and accuracy throughout training data • Support onboarding, specialty calibration, task development, and ongoing quality review
• US-based; candidates based in the United States • At least 8 years of dedicated professional experience in retail • Senior-level expertise in merchandising, category management, buying, planning, retail operations, or a related area • Experience working within a recognised retailer, consumer brand, e-commerce platform, or comparable organisation • Prior experience evaluating LLM or AI-generated outputs using structured rubrics or scoring criteria is required • Demonstrable career progression into senior manager, director, vice president, or comparable leadership responsibilities • Strong commercial judgment and ability to assess complex retail decisions • Excellent written and verbal communication skills • Reliable availability for at least 35 hours per week during weekdays • Degree in business administration, retail management, merchandising, supply chain, marketing, economics, or a related field is highly relevant • Graduate-level education in business, strategy, operations, analytics, or management may be helpful • Equivalent senior professional experience in retail strategy or operations may also be considered • Professional training in category management, merchandising analytics, procurement, or commercial planning may be valuable • Experience with large-scale retailers, global consumer brands, or high-growth e-commerce businesses • Background in omnichannel retail, marketplace operations, inventory planning, or store operations • Experience creating structured scoring rubrics, evaluation guidelines, or quality frameworks • Familiarity with model training, human-feedback workflows, annotation, or AI quality assurance • Strong understanding of pricing, assortment, promotions, forecasting, inventory, and margin management • Experience reviewing category plans, buying strategies, merchandising proposals, or operational performance reports • Previous collaboration with product, analytics, supply chain, marketing, finance, or technical teams • Immediate availability is preferred
• Full-time W-2 contingent employment arrangement • Fully remote work • Competitive hourly compensation • At least 35 hours per week during weekdays • Immediate availability preferred • Remote consulting opportunity • Onboarding, specialty calibration, task development, and ongoing quality review opportunities
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