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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Develop clear, task-specific evaluation rubrics for a variety of marketing deliverables, including: • - Creative briefs • - Campaign concepts and presentations • - Brand positioning and messaging frameworks • - Advertising copy and scripts • - Integrated marketing campaign plans • - Client-ready strategy decks • Evaluate AI-generated and human-created marketing work against established criteria, providing detailed written justifications for every score. • Apply objective, consistent, and evidence-based judgment to ensure evaluations are accurate, repeatable, and defensible. • Collaborate with reviewers and project stakeholders to refine evaluation standards and continuously improve scoring quality. • Incorporate structured feedback and iterate quickly to maintain consistency across the evaluation process.

🎯 Requirements

• 5+ years of professional experience in marketing, advertising, or brand strategy. • Experience as a Creative Director, Brand Strategist, Account Lead, Marketing Manager, or similar senior marketing role at a leading agency or consumer brand. • Strong expertise in: • - Creative brief development • - Brand positioning and messaging • - Multi-channel campaign strategy • - Creative evaluation against business objectives • - Marketing communications • Exceptional written communication skills with the ability to clearly explain evaluation decisions and provide actionable feedback. • Strong analytical thinking, attention to detail, and the ability to make consistent, unbiased judgments. • Prior experience with AI evaluation, data annotation, human-feedback projects, or AI model training is preferred but not required. • Comfortable working independently while collaborating effectively with distributed teams.