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Wynd Labs

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2018

🤖 Künstliche Intelligenz

Artificial Intelligence • Data

Wynd Labs konzentriert sich darauf, öffentliche Webdaten für Anwendungen der künstlichen Intelligenz zugänglich zu machen. Das Unternehmen stellt Unternehmenskunden robuste Web-Scraping-Netzwerke zur Verfügung, um auf vielfältige Daten zuzugreifen, wie z. B. Finanzinformationen für Small- bis Mid-Cap-Aktien. Darüber hinaus trägt Wynd Labs zur KI-Entwicklung bei, indem es KI-orientierte Datensätze anbietet und native KI-Modelle entwirft, um beim Daten-Scraping und der Strukturierung zu unterstützen. Ihre Plattform unterstützt eine breite Palette von Geschäftslösungen, einschließlich KI-Trainingsdaten, Preis-Scraping, Anzeigenverifizierung und Finanzdatenservices.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.