Ming Gosier
Senior Product Manager - Technical (Pm-t) @Amazon
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WORK HISTORY
Senior Product Manager - Technical (Pm-t) @Amazon
New York, NY, US
I\'m now the single threaded owner for Amazon\'s sponsored ads bulk operations and batched APIs. As a PM-T, I\'m responsible for driving product adoption and engagement among Amazon advertisers and agencies. I define product vision, roadmap and manage the team\'s execution. I influence executive leadership to take bets and invest in new features. I prioritize engineering resources to deliver the features that have the most customer or business upside. Finally, driving success and adoption is predicated on well-crafted customer messaging that aligns with the product promise, so I partner with marketing and business development on outreach and marketing.
EDUCATION
NYU Stern School of Business
Master of Business Administration (M.B.A.)
Peking University
Bachelor
University of Illinois Chicago
Master
Parsons School of Design - The New School
Certificate
ABOUT MING GOSIER
I am an expert of Amazon\'s search and display ad businesses, retail ecosystem, and the Amazon flywheel. I started my Amazon journey post my MBA from NYU Stern as a Senior Analytic Consultant at Amazon Advertising. In this role, I queried Amazon media and retail databases and created award-winning, scaled insights to advise C-suite at Amazon’s largest advertisers to use media to grow their sales. Later, I transitioned to Product Management. I am the single threaded owner of Amazon’s search ads bulk operations, a tool built on top of Amazon APIs, and led the launch of 2nd generation of bulk operations. I am a multipotentialite who thrive at connecting the dots in different domains for innovation. I am creative yet analytical. I have strong customer instinct, high empathy, solid networking skills, and am well versed at leading cross-functional teams to passionately work toward bringing a vision to life. I am a forward thinker and never content with the status quo. I have solid tech foundation and I am proficient with statistical modeling, data science (supervised and unsupervised learning), Python, SQL and Tableau. I have an exceptional capability of identifying insights that are not obvious to others from a sea of data. At leisure, I am passionate about art, psychology and gifted child education.
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