AI-Driven Talent Partner for High-Growth Non-Tech Hiring

MoonPay; Greater London; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

MoonPay is seeking an experienced Talent Partner to build exceptional non-technical teams across Product, Finance, Legal, Compliance, Operations, Marketing and People. You will own searches end-to-end, partnering with hiring managers, mapping the market and closing top talent with data-driven methods.

This hands-on role emphasizes ownership, experimentation with AI in recruiting, and continuous improvement of processes and tooling to accelerate high-growth hiring.

Qualifications

• Significant experience recruiting non-technical talent within fast-moving technology, fintech or high-growth organisations.
• Broad recruitment experience across Product and business functions such as Finance, Legal, Compliance, Operations, Marketing and/or People.
• Strong sourcing and talent-mapping skills to go beyond the obvious candidate pool.
• Data-driven, curious and focused on quality, efficiency and continuous improvement.

Responsibilities

• Own end-to-end hiring across non-technical functions, from kickoff to offer and close.
• Partner with hiring managers to define what great looks like and build hiring strategies.
• Source exceptional talent through proactive mapping and creative search strategies.
• Bring data and market insight into hiring conversations and adapt when searches stall.
• Use AI across sourcing, screening, research, market mapping and reporting to improve efficiency.
• Share effective practices and contribute to process improvements across recruitment.

Skills

Non-technical recruitment

Sourcing & talent mapping

Data-driven recruiting

AI in recruiting

Fintech experience

Job description

MoonPay is seeking an experienced Talent Partner to build exceptional non-technical teams across Product, Finance, Legal, Compliance, Operations, Marketing and People. You will own searches end-to-end, partnering with hiring managers, mapping the market and closing top talent with data-driven methods.

This hands-on role emphasizes ownership, experimentation with AI in recruiting, and continuous improvement of processes and tooling to accelerate high-growth hiring.