Recruitment & HRAppointments

Recruitment platform Clu has appointed tech executive Emily Foges as its new chair.

Foges, who will also take up a senior advisory role, will help the company prepare for its first major investment round.

Educated at University College London, Foges’ award-winning career spans over 25 years and includes senior roles at Deloitte, BetFair, BT Retail and Equifax.

An entrepreneur in her own right, she also scaled AI platform Luminance from a team of two to a $100m valuation and global market leadership under her direction as CEO.

Foges, who prides herself on scaling high-growth technology businesses, said of her appointment: “Clu is a revolutionary idea. My appointment is a sign of their readiness to scale and further demonstrate the untapped value in overlooked and underutilised communities.

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“I’ve spent my career innovating through technology and making industries work better for everyone. I am excited to work with Joseph Williams and fellow co-founder Cayelan Mendoza to bring Clu’s vision to life on an international scale, driving higher-performing and more diverse workplaces world-over.”

Williams said: “Emily’s incredible experience of building successful digital products makes her a phenomenal appointment for us at this stage in our journey.

“Her proven ability to galvanise diverse, international groups around a compelling concept of the future will play a vital role in helping us scale our vision for the future of recruitment and we are very excited about what we can achieve together for our team, partners, customers and communities.”

Clu is an AI-powered inclusive recruitment platform that  helps employers build high performing teams, inclusively.

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It targets economic groups who might be overlooked for roles they would be perfect for due to more traditional and biased hiring methods.

It has helped thousands of people from minority and vulnerable groups find work and works with major employers including ASOS, TSB, BBC and Centre Point.

Its pioneering technology uses proprietary algorithms to generate skills matrixes from job descriptions and then matches opportunities to job seekers with those skills in a fully accessible environment.