Kevin Quigley

Scalable solutions require the designer to look past what can be and imagine what can become.


CS Technology & Solutions Manager

In this expanded role, I oversee CRM and Contact Channel technologies on behalf of the global Customer Service department (customer care, sales support, technical support). To this end, my team is responsible for both managing the product roadmap as well supporting BAU operations and escalations. We are presently focused on increasing the adoption and maturity of artificial intelligence (AI), machine learning (ML), embedded support, customer 360, and other digital capabilities to optimize both the customer and agent experience. Specifically, recent AI & ML initiatives include automatic case classification for live and discrete channels, knowledge article recommendations to assist support agents, and chatbot iteration.

October 2020 - Present

Customer Solutions Lead

During my tenure as a Solutions Lead, I worked directly on the Customer Service global technology strategy with a primary focus on CRM and contact channel solutions. As a Certified Scrum Product Owner for the CRM agile team, I collaborated with both business and technology owners and was responsible for overseeing key initiatives from problem definition to continuous improvement. These initiatives included the launch of several self-service support communities, the integration of an AI augmented chat tool, and the implementation of chatbot and embedded chat services.

July 2019 - September 2020

CS Technology Analyst

As a part of my first corporate position, I enjoyed a variety of routine responsibilities including escalations support, UAT design and execution, and business process improvement. In service of these responsibilities, I supported both internal and external platform launches as a super user and primary escalation point. Later in my tenure, I shifted towards project work and played a significant role in the delivery of our Omni-Channel chat and softphone implementations.

October 2016 - June 2019


Everyone starts somewhere, and during my time at The Innovation University ® I became the Founder and CEO of a game development startup. Our three-person crew worked with various outside partners on several projects, but ultimately focused on one mobile application for Android which offered challenging puzzles for players to conquer. The puzzles in our games were not the only challenging part of managing a startup, and today we are able to appreciate the lessons learned as we bring our experience to new places.

November 2013 - Present (Inactive)
May 2013 - August 2014


Stevens Institute of Technology

Bachelor of Engineering, Computer Engineering
August 2012 - May 2016
September 2008 - June 2012

Achievements & Certifications

Side Projects & Hobbies

In contrast to my day-job, which focuses mostly on the product vision, I spend many of my evenings working on side projects where I get to be both designer and developer. As the former President of the Stevens Game Development Club, I initially groomed my passion for programming through the unique lens of game design. Recently, I have focused my interest on web development projects that deal with metadata analytics and REST APIs. Using Twitter as a subject for my pursuits, here are a few recent examples:

  • Tweetalyze Dashboard - The third iteration of a long-term passion project, this tool allows users to query tweet data from Twitter to build and visualize their own pre-cleaned data sets.
  • Tweetalyze Chart Builder - Currently a work in progress, Chart Builder enables approachable, visual analysis of tweet samples. Although many features are still yet to come, it is always fun to pivot some metadata and see what you can discover.
  • Tweetalyze Quick Trend - In recognition that some users may not need Dashboard's full feature suite, this page is a faster way to visualize and drill-down on Like and Retweet stats. Following this same philosophy, I also created an simple page to analyze and trend tweet sentiment.
  • Tweetalyze Search - Unlike the numerically-focused tools in the Tweetalyze family, Search provides a simple interface for users to perform a fuzzy search on recent tweet text and displays results in order of relevance. Search was intended to be a more practical successor to Ask a User, a crude implementation of BERT NLP using Google's TensorFlow library. For users who are less familiar with Twitter, Newsboard provides a pre-curated sample of tweets and topics from major media outlets to search.
  • Tweetalyze Fake Tweet Generator - As a Computer Engineer, I never had the chance to learn about Markov chains like my Computer Science friends. To address this gap, I leveraged my existing Twitter API server and practiced implementing a probablistic Markov model. After some minor revisions, I created the Tweetalyze Bot: a comical demonstration of model training that allows users to add multiple learning sources.

When I get the chance to unplug for a bit, I also enjoy playing music, performing comedy, hiking, and skating.