o Created and delivered curriculum for Amazon leaders on AI program leadership and auditing.o Launched AI incubator in São Paulo, Brazilo Created and delivered AI training at company wide conferences, and in person in India, Mexico, Brazil, and US.o Created machine learning models to classify customers based on behavior. o Built and improved digital marketing systems including email, SEO, SEM, Affiliate marketing, and machine learning based targeting.o Worked directly with machine learning researchers to create a new targeting model that was easy to use. Provided training and support to US, Asian, and European based teams. Developed sophisticated and automated targeting strategies around the ML scores.o Led US-based team during the launch of Kindle devices in India, Brazil, China, and Japan. Created the SEO, SEM, and email strategy for India and Brazil. Worked in China and Japan to improve the efficiency, impact, and scale of their digital marketing efforts after launch.o Coordinated and trained international marketing teams in Asia, Europe, and South America.o Led US-based digital marketing team during the launch of Kindle (2012, 2013, 2014), Kindle Fire (2012, 2013, 2014), Fire TV (2014), and Amazon's first smartphone "Fire" (2014). Responsible for SEO, SEM, email targeting, on-site search, Affiliate marketing, and PLA campaign strategy and execution.o Led the Weekly Business Review for US, Brazil, Canada, and India. Coordinated online, offline (retail, B2B), refurb, and marketing teams to create review document. Wrote the US online digital marketing summary. Designed, simplified, and automated the document for larger impact and easier scaling as we expanded beyond the US and into new device segments.

Lead engineering product management for an international team of about 300 professionals dedicated to increasing site traffic through a variety of channels. Responsible for all applications used to automate, optimize, and execute marketing campaigns for eBay sites worldwide. Led the team to its best ever business performance in 2011 while also achieving the highest employee satisfaction score ever for the PM team.SEM : Responsible for Search Engine Marketing systems. eBay has the world's broadest keyword portfolio. Using big data systems like Teradata and Hadoop to feed machine learning models eBay is able to individually bid on each keyword in each market based on business goals.SEO : Transformed Search Engine Optimization at eBay by carefully reviewing the current efforts, introducing new and modern approaches, and developing fantastic analysis and reporting systems. Launched over 70 changes to the worldwide sites in forty weeks. Spun off the on-site SEO team at the end of 2011. Also led a significant improvement to eBay's submissions to Google Product Search which led to dramatic improvements to that channels performance.Email Marketing : eBay has hundreds of emails which it has developed over fifteen years. Attacked the most important business driving emails to improve performance and usability. New UI works much better with mobile devices and incorporates merchandising for the first time. Affiliate Marketing : Led the affiliate marketing product management efforts to launch opportunities for mobile application developers to get paid for traffic sent to eBay. Built a strong team of product managers by recruiting top talent. Display Advertising : Display advertising is rapidly changing and eBay is at the forefront of highly optimized and personally targeted real-time bidding. Found and encouraged technology and data sharing with broader company efforts to improve targeting and merchandising.

As the Director of Applied Research I am leading the development of a new machine learning (artificial intelligence) architecture for all of eBay. Using advances from academia as well as our own eBay Research Lab faculty and a new Hadoop cluster, my team will build better systems for recognizing, recommending, and measuring merchandise for all of eBay's global marketplaces. In this role I work closely with researchers, engineers, QA and my team of product managers.As the Director of Front End New Technologies I am responsible for application services for search, the global header, and the product management of the look and feel of eBay (Design System 2.x). In this role I enjoy working with designers, interaction designers, engineers, QA as well as my team of product managers.

Led a team of product managers responsible for merchandising, global page header, and Tickets vertical sales.Significant accomplishments: - Introduced standardized look and feel for merchandising. - Created BBOWA attribution design that has been adopted widely. - Developed new experimental designs including user based testing for personalized merchandising. - Led the creation of eBay header doodles. - Led the redesign of the Tickets vertical including an SEO redesign which dramatically improved the ranking of eBay Tickets. - Introduced merchandising to more emails and improved merchandising in existing emails.Worked with teams in England, China, and India.

Lead engineering program manager for the 4.0 release of Google Chrome including Windows, Mac and Linux releases.Responsible for the WebKit integration and Plugin architecture for the Google Chrome browser. Chromium is the open source browser at the heart of Google Chrome and WebKit is the heart of Chromium. Success requires turning aspirations into plans with tight coordination between Product Management, Test and Engineering.

Organized the international teams working on AdSense for TV around a common engineering methodology. Responsible for increasing overall quality and productivity by focusing engineering and test efforts on precise lists of features on a regular delivery schedule. Worked closely with teams across the US and in London. Responsible for release management including build master and build engineer.

As the Lead Program Manager I was responsible for the Application Infrastructure team in Microsoft TV's Mediaroom group. I was the PM the Mediaroom Browser for the 1.2.x releases. I was also the PM for the client platform which includes Windows CE, .NET Compact Framework, drivers, and miscellaneous supporting technologies.

I worked with Don Clifton to create the StrengthsFinder product, also used in StrengthsQuest. I led a team that also created the system and software Gallup uses for all web based data collection, analysis and reporting. When I left about 40% of Gallup's revenue and 75% of its profit ran through this system. It handles about 300 projects a month in dozens of languages for some of the largest international companies in the world.

The department of computer science asked me to teach Software Engineering 461/861. I taught the class for two semesters before I moved to Omaha. The first semester I inherited the syllabus and course materials from the previous professor. These focused exclusively on the Waterfall Model and the Mythical Man Month. The second semester I chose to compare and contrast this traditional approach with the XP methodologies gaining popularity at the time.I thoroughly enjoyed my time teaching these students. I was able to supplement the material with my experiences leading large and complex projects at Gallup. In some ways the class was good therapy for me. Teaching Software Engineering certainly helped crystallize my own thoughts around the methods and tools we were using. I believe the overall quality of software at Gallup improved significantly because of this experience.