SEATTLE, Wash. -- Attunely Inc. is pleased to announce and welcome Rob Nadler as Vice President of Sales overseeing sales strategy and execution. Mr. Nadler will be responsible for leading and growing the sales function, developing new business opportunities and scaling Attunely’s customized, machine learning solutions to meet customer needs, with a specialized focus on collection agency and debt buyer markets.

"Attunely has been laser-focused on bringing together Accounts Receivable Management (ARM) industry veterans with machine learning (ML) software pioneers” said Scott Ferris, Attunely's Founder and Chief Executive Officer. “We now have defining evidence that Attunely’s ML can significantly lift recovery revenue and liquidation rates. By placing these early performance results in Rob’s capable hands, we will continue to extend our solution across the industry”

Rob is a seasoned veteran in the ARM industry with more than 20 years of experience in ARM, debt purchase, structured finance, and consumer lending. Rob’s career track has entailed leadership positions with responsibilities over Sales, Business Development, Marketing, Servicing, Customer Service, and Operations. In addition, Rob has a proven record of building long term business relationships across the industry.

Prior to joining the Attunely team, Rob was Principal at RJN Advisors, helping ARM organizations successfully link strategic planning to tactical execution. He has also held several executive leadership roles with Javlin Capital and Sallie Mae. Rob graduated with a BS, Marketing from Ithaca College.

“I have enjoyed a successful career in financial services for over two decades, and never have I witnessed a transformative technology that requires such little investment with such impactful results. I am thrilled to be joining Attunely to collaborate with my ARM industry colleagues and friends on how we can protect and grow their business operating margins,” said Rob.

About Attunely Inc. 

Attunely is a cloud-based, yield optimization platform for the Accounts Receivable Management industry that uses machine learning to increase yield in the collection process, thus improving outcomes for creditors, lowering risk in the credit ecosystem, and facilitating a better consumer experience. 

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