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Matt Sunbulli is a seasoned entrepreneur and technology leader, currently the Co-founder and CEO of Aboard, a company focused on revolutionizing the employee onboarding and transition experience. With a strong track record in building successful tech companies, Matt previously founded and served as CEO of Estately, a popular online real estate search portal, for nearly 12 years. He successfully led Estately to its acquisition by Realogy (now Anywhere Real Estate Inc.) in 2018. His earlier career includes experience as a Product Manager at Expedia, contributing to his deep understanding of product development and market strategy. Matt is passionate about creating user-centric products and building high-performing teams, demonstrated through his ventures in both real estate tech and HR tech.
Matt Sunbulli's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Aboard in January 2020, aiming to simplify and enhance employee onboarding and transitions for companies. He leads the company's vision, strategy, and growth, focusing on creating a seamless experience for new hires and HR teams.
Founded Estately in February 2007 and grew it into a leading national real estate search platform over approximately 11 years. He was responsible for product vision, company strategy, and overall operations, leading to significant user growth.
Successfully navigated the acquisition of Estately by Realogy (now Anywhere Real Estate Inc.) in December 2018, marking a significant achievement in his entrepreneurial career and providing a substantial return for stakeholders.
Served as a Product Manager at Expedia from 2005 to 2007, where he gained valuable experience in managing and developing large-scale consumer-facing web products in the competitive online travel industry.
Northwestern University
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Databricks is an enterprise software company, founded by the creators of Apache Spark, that has developed a web-based platform for data engineering, data science, machine learning, and analytics. It champions the 'lakehouse' architecture, unifying data lakes and data warehouses to provide a single source of truth for data and AI workloads, enabling organizations to accelerate innovation by simplifying data pipelines and collaboration.
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