
Lead Tech Recruiter, LATAM
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Uruguay, +1 more country.
• Identify and attract talent in Data & AI through job boards, social media, networking, and talent pools.
• Oversee the complete recruitment lifecycle from sourcing to hiring.
• Serve as an informal lead for the LATAM recruiting team in collaboration with the VP of Talent Acquisition.
• Provide coaching and mentorship to recruiters on sourcing, screening, and enhancing candidate experience.
• Establish weekly priorities and manage requisitions across the team.
• Monitor pipeline and recruiting metrics, sharing updates and risks with the VP of Talent Acquisition.
• Share effective practices and enhance recruiting processes.
• Recruit for positions such as Data Engineers, Solutions Architects, Machine Learning Engineers, Full Stack Developers, and Technical Product Managers.
• Conduct interviews to evaluate technical skills, consulting abilities, cultural fit, and overall potential.
• Collaborate with hiring managers and delivery leaders to comprehend role requirements.
• Foster and maintain candidate relationships, ensuring an outstanding candidate experience.
• Stay updated on Data & AI trends, the Databricks ecosystem, and competitive recruitment strategies.
• Manage multiple roles while guaranteeing a positive candidate experience.
• Over 5 years of experience in recruiting for tech roles.
• More than 2 years of experience leading a small recruiting team, either formally or informally.
• Proven experience in coaching and mentoring junior recruiters.
• Background in setting team priorities and distributing requisitions among team members.
• Familiarity with using recruiting metrics to monitor progress and inform team decisions.
• Experience recruiting across multiple countries in LATAM.
• Knowledge of recruiting within a consulting or professional services environment.
• Demonstrated success in recruiting for Data & AI roles, such as Data Engineers, Solutions Architects, Machine Learning Engineers, Full Stack Developers, and Technical Product Managers.
• Capability to grasp technical concepts and evaluate technical skills during screening.
• A pragmatic problem-solving mindset with a focus on practical outcomes.
• Curiosity and eagerness to learn about new technologies and markets.
• Exceptional communication and interpersonal skills with a customer-focused approach.
• Ability to work independently and navigate through ambiguity.
• Skill in prioritizing and managing multiple roles at once.
• Advanced proficiency in English.
• A Bachelor's degree in Human Resources, Business, or a related field is preferred, or equivalent experience.
• Familiarity with Databricks and the modern data platform landscape is a plus.
• Opportunities for professional development and career growth.
• Innovative environment featuring cutting-edge technologies and industry leaders in data engineering and AI.
• Collaborative culture that emphasizes knowledge sharing.
• Chance to contribute to shaping the future of the team and the company culture.
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