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LILT, an AI-powered translation platform, seeks a top People leader for its executive team in a growth-stage phase. The role reports directly to the CEO and sits on the executive operations team, mixing hands-on policy work with strategic People initiatives.
The ideal candidate will bring startup-scale recruiting for niche talent, experience leading teams across Europe, Latin America and Asia Pacific, and a track record of integrating acquired teams.
This is the top People job at a growth-stage AI company, reporting straight to the CEO and sitting on the executive operations team. The work mixes hands-on building (writing policies, running the review cycle, handling employee issues) with strategy, and a strong candidate has startup experience under demanding investors, deep recruiting skill for niche talent, and experience leading teams across Europe, Latin America and Asia Pacific. Experience folding in teams from small acquisitions is a plus.
The company builds AI translation with human reviewers, and the People leader is asked to grow a group of managers who build and run AI systems. AI can speed up screening, scheduling, policy drafting and reporting, but judgment on hiring bets, tough employee conversations, trust with executives and shaping how people work across cultures stays with a person. The posting also notes that AI tools help with application review, with final hiring decisions made by people.
Someone in this seat would see how an AI company hires and develops specialized people in areas like enterprise AI, AI data and human operations. It also offers a chance to design how teams that supervise agentic AI workflows are coached and measured. To prepare, a candidate can try AI tools in recruiting and People operations, and learn how translation platforms combine machine output with expert linguist review.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
LILT provides an AI-powered platform for enterprise translation and localization, per the company.
Tools mentioned: machine learning, Salesforce