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Stax Hires Payments Vet Menda Sims as Chief Payments Officer

Stax, which is an all-in-one payment management solution, has hired Menda Sims as its new chief payments officer, a press release on Wednesday (Sept. 1) stated.

Stax provides things like tools and insights for any size of business and allows for help with numerous aspects of business, including financials, payments, invoicing, inventory, sales data, customers and other such things.

“Joining Stax during this transformative time not only in the payments industry but also for Stax is exciting,” Sims said, per the release. “I look forward to working with Stax’s partners to continue the organization’s course for long-term growth and success, as well as serving alongside the team to achieve Stax’s rapidly approaching goal of being the next unicorn in the payments industry space.”

Sims comes with over 20 years of experience in the payments industry. Most recently she worked at FIS, where she was chief of staff and head of strategy and business operations for the Chief Growth Office, and the release says she has also worked for large processors leading sales, business development, and operations teams, including at Elavon and IntegreLynk.

“Menda has a long successful track record in strategy and global expansion, a deep technical background and she knows Stax well,” said Suneera Madhani, CEO of Stax. “She is an excellent addition to our executive team as we work to accelerate our growth, business transformation and cultural evolution to create a best-in-class technology platform that enables commerce around the world.”

In other payments hiring news, payments fintech FlexPay has added two industry veterans, including Steve Arentzoff, who has led two tech companies, Medallia and Cision, through initial public offerings (IPOs), and Ray Watson who has experience working with J.P. Morgan Chase and Ingenico ePayments, among others, as vice president of national accounts and global payments consultant, respectively.

FlexPay uses artificial intelligence (AI) and machine-learning technology to instantly recover failed payments and credit card declines.

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