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Wynd Labs

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2018

🤖 Inteligência Artificial

Artificial Intelligence • Data

A Wynd Labs está focada em tornar os dados públicos da web acessíveis para aplicações de inteligência artificial. A empresa oferece aos clientes empresariais redes robustas de web scraping para acessar dados diversos, como insights financeiros para empresas de médio e pequeno porte. Além disso, a Wynd Labs contribui para o desenvolvimento de IA oferecendo conjuntos de dados orientados para IA e projetando modelos de IA nativos para ajudar na extração e estruturação de dados. Sua plataforma suporta uma ampla gama de soluções de negócios, incluindo dados de treinamento de IA, extração de preços, verificação de anúncios e serviços de dados financeiros.

Descrição

• Full-Stack Execution: Especially in the early days, you will work as a team of one. You will manage the high-touch, full-cycle recruitment of employees, ensuring every candidate experience is world-class. • Strategic Partnership: Collaborate directly with the Founders and senior team members to define job descriptions, refine personas, and calibrate roles in a fast-moving environment. • Sourcing Innovation: Beyond LinkedIn—you will need to use creative sourcing approaches and strategies to find talent capable of building complex data pipelines and AI-driven products • Employer Branding: In a competitive AI market, help the world learn about Wynd Labs. From the first screening call to finding new Online outlets, you’ll be telling our story • Global. We already have team members from 15+ nationalities. This role requires working across time zones to find the best in the world.

🎯 Requisitos

• 4+ Years of Technical Recruiting Experience: Ideally with a focus on AI, Machine Learning, or Data Infrastructure. • The Startup Mindset: You thrive in ambiguity and understand the urgency of Series A hiring. You are a "builder," not just a "user" of existing systems. • Technical Literacy: You can distinguish between an ML Engineer, Data Engineer, and Software Engineer, and can fluently discuss the current landscape of LLMs and data curation. • Navigate Ambiguity: No one is going to tell you how to be successful. You must be comfortable with problem-solving, asking questions, and building a network. • Data-Driven Approach: You use metrics to track pipeline health, conversion rates, and time-to-hire, using these insights to pivot strategies quickly. • High EQ & Negotiation Skills: You are an expert at "selling" a vision and can navigate complex compensation/equity conversations with senior-level candidates.

🏖️ Benefícios

• Opportunity. We are at the forefront of developing a web-scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people. • Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better. **We prioritize low ego and high output. This is a fully remote team. • Compensation. You’ll receive a competitive salary, benefits and equity package.