Responsibilities As a Retail Domain Expert, you will be responsible for bridging retail industry knowledge with AI-driven applications. Your key responsibilities will include: • Workflow Definition: Collaborate with AI and engineering teams to define the most common workflows within the retail sector (e.g., sales forecasting, inventory optimization, customer journey mapping, merchandising strategy, and store performance analysis). • Evaluation Creation: Develop structured evaluation frameworks and test cases to assess workflow outcomes. This involves defining inputs, expected outputs, and measurable success criteria for retail-focused tasks. • Capability Assessment: Design evaluations to measure the LLM’s ability to perform complex retail functions such as demand planning, product assortment optimization, customer segmentation, trend identification, and risk management. • Data Curation & Annotation: Provide guidance in identifying, curating, and annotating high-quality retail data (e.g., point-of-sale data, loyalty/customer insights, supply chain data, competitive pricing) for training and fine-tuning the LLM. • Feedback & Iteration: Work closely with product and technical teams to provide constructive feedback on LLM performance, recommending improvements to ensure higher accuracy, relevance, and business value in retail applications. Key Requirements • Domain Expertise: Minimum 12+ years of professional experience in one or more of the following retail areas: • Merchandising & Category Management: Assortment planning, pricing, promotions. • Store Operations: Workforce management, in-store process optimization. • E-commerce & Omnichannel: Digital sales strategies, online merchandising, customer experience. • Supply Chain & Inventory: Demand forecasting, replenishment, logistics optimization. • Experience Levels: Open to entry-level, mid-level, and senior professionals with proven success in retail strategy and execution. • Analytical Skills: Strong ability to break down complex retail processes into structured, measurable workflows. • Communication: Excellent communication skills with the ability to explain retail concepts and insights to both technical and non-technical stakeholders. • Technical Acumen: Familiarity with retail technology platforms, analytics tools, and basic understanding of AI/machine learning is a strong advantage. Experience collaborating with technical teams is highly desirable.