
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
• Work with research and engineering teams to identify and address knowledge gaps related to retail merchandising, category management, buying, planning, and operations • Design challenging, realistic retail tasks reflecting real-world business scenarios and decision-making • Develop accurate, well-reasoned solutions based on established retail practices and professional experience • Evaluate AI-generated responses using structured rubrics for accuracy, reasoning, judgment, relevance, and completeness • Provide clear, actionable written feedback on strengths, weaknesses, and improvement areas • Develop and refine retail evaluation guidelines and scoring frameworks • Collaborate with subject-matter experts to maintain consistency, accuracy, and quality across AI training and evaluation datasets • Translate practical retail knowledge and decision-making processes into structured guidance to improve AI systems
• 8+ years of professional retail experience in merchandising, category management, buying, retail planning, retail operations, or related functions • Experience in a recognized large-scale retail, consumer, e-commerce, or omnichannel organization strongly preferred • Mandatory hands-on experience evaluating LLM or AI-generated outputs against rubrics or structured scoring criteria • Demonstrated career progression and increasing responsibility • Strong understanding of retail strategy, merchandising processes, category performance, inventory considerations, customer behavior, and operational decision-making • Ability to assess complex business scenarios and determine whether recommendations are practical and commercially sound • Strong written and verbal communication skills • Excellent problem-solving and analytical abilities • High attention to detail and consistency when applying evaluation criteria • Comfortable collaborating with cross-functional teams and subject-matter experts • Ability to commit reliably to approximately 35 hours per week during weekdays
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