Jeff Otto

Chief Marketing Officer at Riskified

Jeff Otto has a diverse work experience spanning various roles and industries. Jeff is currently serving as the Chief Marketing Officer at Riskified, a global leader in eCommerce risk intelligence. Prior to this, they held the position of Vice President and Head of Marketing at Marqeta, a leading fintech company. Jeff also worked at Salesforce, where they held multiple roles, including Vice President of Industries Marketing and Senior Director of Industries Marketing. Before that, they worked at Morgan Stanley as Vice President in the Technology & Data Division. Additionally, Jeff has experience in sales and product management from their time at Incenergy. Jeff started their career as a Technology Analyst at Merrill Lynch. Overall, Jeff Otto has a track record of leading marketing teams and driving success in the technology, finance, and eCommerce industries.

Jeff Otto received their education from the Texas McCombs School of Business, where they obtained an MBA in Finance from 2007 to 2009. Prior to that, they attended Penn State University from 1999 to 2003, earning a Bachelor of Science degree in Information Sciences and Technology. Additionally, Jeff has obtained various certifications, including Executive Presence and Content Development Training from SNP Communications in September 2015, and several Pragmatic Marketing courses in March 2014. Jeff also completed a 3-day SQL Programming Course from Learning Tree International in April 2006. Jeff has also obtained badges and certifications related to Salesforce Trailhead, such as Lightning Data Management Badge, Salesforce Basics Badge, and many others, although the specific dates of completion are not provided.

Location

Santa Rosa, United States

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Riskified

15 followers

Riskified (NYSE:RSKD) empowers businesses to grow eCommerce revenues and profit by mitigating risk. The world’s largest merchants and prestige brands partner with Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale and to improve customer retention. Supported by the largest team of eCommerce risk analysts, data scientists and researchers, Riskified’s machine learning platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights.


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501-1,000

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