Talent Ops Lead - U.S.

Job Title: Talent Ops Lead

Job Type: Full-time, Core Team

Location: Remote

About Us:

We’ve built an AI recruitment engine to help companies hire top global talent. Our AI agent, Zara, sources & vets candidates autonomously allowing companies to save 87% on recruitment costs.

We work with top AI Labs to help them hire human data trainers for post-training, staffing firms to re-invent their recruitment; and startups for their core team hiring.

Long term, we’ll become the default recruitment engine for all companies & create the highest quality pre-vetted global talent pool on earth.

Job Summary:

Join our customer's team as a Talent Ops Lead and play a pivotal role in scaling the future of human data and AI training operations. This dynamic, remote position empowers you to drive large-scale onboarding, foster meaningful client relationships, and deliver best-in-class customer management, all while shaping impactful solutions in a fast-paced, innovative environment.

Key Responsibilities:

• Lead and optimize onboarding processes for large cohorts, ensuring seamless integration and high client satisfaction.
• Cultivate and manage strong client partnerships with proactive, thoughtful written and verbal communication.
• Own customer success outcomes by anticipating challenges and deploying effective, client-centered solutions.
• Generate detailed reports on performance metrics and project milestones to ensure operational transparency.
• Champion engagement within the talent pool by hosting community events and driving interactive initiatives.
• Collaborate cross-functionally with development teams to align deliverables with evolving client goals.
• Leverage data-driven insights to continually improve onboarding and customer management processes.

Required Skills and Qualifications:

• Exceptional written and verbal communication skills, with a commitment to clarity and empathy.
• Proven success leading large-scale onboarding or talent operations in remote, distributed settings.
• Demonstrated deep ownership and accountability in client-facing roles.
• Expertise in customer management and problem-solving with limited supervision.
• Ability to thrive in fast-changing, high-growth environments while prioritizing multiple projects.
• Comfort with data analysis and reporting tools to inform strategy and decision-making.

Preferred Qualifications:

• Hands-on experience in Human Data/AI training or RLHF operations.
• Background working with clients and developer teams in tech or AI sectors.
• Familiarity with industry-leading tools for data operations and talent engagement.