Muhammedali will lead the company’s Artificial Intelligence (AI) business unit, a unit that will operate as a well-funded and agile start-up within the established and supportive Bullhorn environment. Muhammedali’s hiring follows Bullhorn’s announcement last year of Cleo, its artificial intelligence engine for the staffing industry.
Since announcing Cleo at Engage Boston 2018, Bullhorn has been training its machine learning and natural language processing models on the more than 600 billion records within the Bullhorn platform. Bullhorn is already the system of record for its 10,000 customers around the world – the technology foundation upon which these many of these customers run the entirety of their business processes – with more than a million candidates accessing Bullhorn solutions each month. With its exploratory AI R&D work complete, the company will work to integrate Cleo into its newly-released Bullhorn One start-to-finish offering for the staffing industry, providing a one-stop shop to staffing agencies looking to manage any process within the recruiting and operations lifecycle – from candidate intake to invoicing – within a single system.
Muhammedali’s extensive experience with AI and enterprise software positions him as the ideal leader to bring Bullhorn’s staffing AI work into ubiquity. Over the course of his expansive career, he spent nine years at recruiting behemoth Monster, culminating in a role as VP of Product Management, during which he led search, partnerships and software solutions globally. More recently, Muhammedali was SVP of Integrated Solutions and Partnerships at Care.com, and a Knowledge Expert in Enterprise Software at McKinsey and Company.
“The world of work is changing more rapidly than ever before,” said Muhammedali, “with recruitment and staffing companies at the forefront of that change. Bullhorn has the advantage of seeing hiring through from start to finish, from the day the req is created to the day a candidate starts and then gets paid, millions of times every year, something that the biggest players simply don’t have. Many players in the recruiting space look for predictive data in social media profiles and in detailed resumes, but Bullhorn adds data on submissions, job offers, starts, and tenure that are more salient to actual outcomes. The power of that data will soon be at the disposal of recruiters, managers, and executives on our platform who wish to maximise their competitive impact. I’m excited by the opportunity to take AI from the theoretical realm into the hands of recruiters to retool their processes, get faster placements, improve service quality, and generate higher margins, all powered by market intelligence specific to location, role, and key skills.”
“For the past two years we’ve had staffing industry specific use cases for artificial intelligence as one of our top R&D priorities,” said Matthew Fischer, President and CTO of Bullhorn. “We’ve taken the time to invest in the resources necessary to grow AI into a core aspect of our DNA, and now we’re making the leap from insight to action with Javid joining our team. He will supercharge our AI development efforts from conceptual to actual, and his wealth of experience in AI, staffing, and enterprise technology makes him well suited for this opportunity. Bullhorn has always been at the forefront of moving the staffing industry forward from a technology and process vantage point, and we have an unmatched 600 billion records in our full-lifecycle staffing offering on which to append intelligent decision-making. We’re excited to work closely with our customers and with Javid to transform the market.”
Bullhorn is the global leader in software for the staffing industry. More than 10,000 companies rely on Bullhorn’s cloud-based platform to power their staffing processes from start to finish. Headquartered in Boston, with offices around the world, Bullhorn is founder-led and employs more than 950 people globally. To learn more, visit www.bullhorn.com/uk/ or follow @Bullhorn on Twitter. For further information please contact TopLine Comms.