Paul Stapleton is a seasoned Sales Manager based in Manhattan with over 25 years of experience driving revenue, building teams, and launching commercial real estate technology and SaaS solutions. He blends deep domain expertise in real estate and financial services with hands-on proficiency in data analytics, Salesforce, and managed services to help organizations control costs and improve operational efficiency. At CompStak he progressed from senior enterprise rep to sales director and now manager, demonstrating a consistent ability to scale teams and win large accounts in the New York market. Paul has led market launches, cultivated partnerships across owners, brokerages, and investment firms, and managed P&L and performance metrics to align sales strategy with business outcomes. Less obvious: he pairs traditional client-facing sales chops with technical fluency—he contributes backend fixes to an open-source BPM engine, reflecting an appetite for practical engineering improvements that support data-driven products. His background is anchored by a Carnegie Mellon education and a focused real estate certification, giving him both analytical rigor and industry-specific credibility.
9 years of coding experience
17 years of employment as a software developer
MICP Commercial Real Estate, MICP Commercial Real Estate at Lipsey School of Real Estate
Bachelor of Science - BS Industrial Management/Graphic Communications Management, Bachelor of Science - BS Industrial Management/Graphic Communications Management at Carnegie Mellon University
A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.
Role in this project:
Back-end Developer
Contributions:14 commits, 12 PRs, 10 comments in 3 years 10 months
Contributions summary:Paul primarily contributed to the Flowable engine by fixing bugs and implementing features related to process and case instance handling. This included addressing NullPointerExceptions in the task UI, enhancing JSON conversion for BPMN models to incorporate potential starter users and groups, and adding filtering capabilities based on these starters in the task application. Further contributions involved improvements in process instance events and fixes to handle identity links related to subprocesses.
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