Garrett Wu Email & Phone Number

Roger makes your contracts easy & fast to fill and sign. Close your deals in under 24 hours.Who gets results working with us:High-performing sales teams that send a high volume of contracts. Sales leaders who care about closing deals faster.What customers are saying:✅ "Roger has changed my business by doubling sales in the same time frame." - Director of Development of Bite Ninja✅ "Deals are closing way faster than they did on our legacy e-doc platform" - Head of Sales of Forward Kitchens✅ "Roger's the fastest way to have clients and partners sign contracts!" - CEO of Rove TravelThese are the questions that used to keep Roger customers up at night:▶︎ How do I close customers when buying intent is the highest?▶︎ How do I close deals while I am still on the phone with prospects?▶︎ How do I let my customers sign and pay in one easy flow? ▶︎ How do I spend more time selling and less time preparing and managing contracts? Interested in learning more?Book a meeting with our team at: https://calendly.com/michael-wang-1We are hiring!Backed by Y Combinator, Craft, GFC, Co-founder of Honey, C-level executives from Bad Robot Productions, Blackstone, Oracle, and Take-Two Interactive.

San Francisco, California, Us

AI applied to creative design for retail.Hands on with a small team (10 people) building a visual web design tool for retail marketers to create interactive, dynamic, data-driven creative content. AWS/Node/React/Redux.

San Francisco, Ca, Us

Using our experience in high volume/velocity customer interaction data to personalize customer experiences, Wibi provides transparency into the consolidated 360-degree view of a customer. Combine machine learning and your business knowledge into each and every interaction across digital channels.My first experience at a startup, I was very hands at the keyboard for the first two years while gradually growing the engineering team. Lead the engineering team (20 members) and customer success teams (5 members). Very involved in technical sales process. I learned a lot!

Mountain View, Ca, Us

Personalized RecommendationsTechnical Lead for the personalized recommendation team. How do you detect whether a piece of content is personally relevant to an individual? How do you detect whether a piece of content is generally interesting and/or going to go viral?Google ReaderIntegration of personalization features into Google Reader. Created an experimental product for consuming recommended feed content like a visual magazine called Google Reader Play.Speech RecognitionUsed our recognizer to automatically close caption the entire history of English YouTube videos (more than a century's worth of content). Learned a lot but ultimately didn't get to spend enough time on this team before transitioning to Wibi.

Mountain View, Ca, Us

Personalized SearchContributed to the infrastructure and algorithms for inferring user intent and preferences based on prior search behavior. Based on these inferred user profiles, our systems dynamically personalized the ranking of search results.Personalized RecommendationsInfrastructure and algorithms for the personalized recommendation engine used internally at Google to drive properties like web, news, video, image, and book search. Design and implemented the real-time scoring system.

W21 Batch

Bs, Computer Science