🏄‍♂️ Scott Leese's Linkedin Analytics

I've been part of 11 exits, and worked with 12 unicorns. I teach founders and sales leaders how to get scalable and successful sales results. I've worked with over 100 companies around the world on GTM strategy, Sales playbook creation and messaging, rev ops processes, recruiting, coaching/training, expansion revenue, partnerships and more. I’ve spent the better part of the last decade building revenue communities and micro conferences that provide people with a safe space to learn, grow, and develop their skills (See: GTM United, Surf and Sales, and Thursday Night Sales). I've written two Amazon #1 best-selling books: "Addicted to the Process" [2017], and "More Than a Number" [2021]. I also co-authored "From Rep to Manager" [2021] w/ Ryan Walker. As the SVP Sales at Qualia, we went from zero paying customers to Unicorn status and beyond. I built the sales motion and team from scratch, as we built the first settlement system in the title industry to take advantage of modern technology. As the SVP Sales at OutboundEngine, I was lucky to work with fantastic teams in Austin and Scottsdale. In 2015, we were ranked #136 on the Inc. 5000 Fastest Growing Companies, and we moved up to #95 on the 2016 list. We were named to the Best Places to Work in Austin every year I worked there, and grew revenue by over 650% during my tenure. In my time as VP Sales at Main Street Hub, I built sales offices in Austin, SF, NYC and LA and was responsible for every aspect of the sales organization. I grew the team from 2 to 200, and we were named to the Inc. 5000 Fastest Growing Companies list in 2014 and 2015. Main Street Hub was acquired in 2018 by GoDaddy for $175 million. Early in my career, I was a key sales leader at Reply! Inc. [now OnePlanetOps] While with Reply, I was honored to be the Winner of the Employee of the Year award in 2005. I have spent my entire professional career building and scaling early state startup and have a proven track record of lifting organizations to new heights with limited resources allocated to the task at hand.