Finn Brown is a seasoned Product Management leader with over 12 years of experience in driving innovation and growth for SaaS and technology companies. He possesses a strong track record of conceptualizing, developing, and launching successful products that meet both user needs and business objectives. Finn is adept at cross-functional team leadership, agile methodologies, market analysis, and translating complex technical concepts into compelling product visions. He is passionate about user-centric design and leveraging data analytics to inform strategic decisions and enhance user experience. Currently, Finn is focused on building next-generation AI-powered tools to streamline enterprise workflows.
Finn Brown's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the end-to-end product lifecycle for 'InnovateSuite 3.0', a flagship enterprise software, resulting in a 40% increase in user adoption within the first year and a 25% growth in ARR. Oversaw market research, roadmap definition, development sprints, and go-to-market strategy.
Successfully integrated a new AI-powered predictive analytics module into an existing platform, which improved customer retention by 15% and was recognized with the 'Company Innovation Award 2022'.
Selected as a speaker at Tech Product Con 2023, presenting on 'The Future of AI in Product Management' to an audience of over 500 industry professionals, receiving excellent feedback for insightful content and engaging delivery.
Grew the product management team from 3 to 10 members, implementing mentorship programs and agile best practices that improved team velocity by 30% and fostered a culture of continuous improvement.
Harvard University - Year 2015
Boise Senior High School - Year 2012
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Aqua Voice is an AI-powered healthcare technology company focused on reducing physician burnout and improving clinical efficiency. Their core offering is an ambient AI scribe that listens to natural doctor-patient conversations and automatically generates comprehensive, accurate clinical notes directly into Electronic Health Record (EHR) systems. This allows healthcare providers to spend less time on documentation and more time on patient care, ultimately aiming to enhance the quality of care and job satisfaction for medical professionals.
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