Mae R. is a results-driven Senior Product Manager with 12 years of experience in the technology sector, specializing in SaaS products and agile development methodologies. Currently based in Austin, Texas, Mae has a proven track record of leading cross-functional teams to deliver innovative solutions that meet both user needs and business objectives. She is passionate about leveraging data analytics and user research to inform product strategy and enhance user experience. Mae is recognized for her strong communication skills, her ability to translate complex technical concepts into clear business value, and her commitment to fostering collaborative and high-performing team environments. Outside of her professional life, Mae is an advocate for women in tech and enjoys mentoring aspiring product managers.
Mae R's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led the end-to-end development and launch of a new flagship SaaS platform, which acquired over 10,000 active users within the first six months and increased company recurring revenue by 18%.
Spearheaded a user engagement initiative that incorporated gamification and personalized onboarding, resulting in a 25% increase in daily active users and a 30% reduction in churn rate. Received company-wide recognition for this impact.
Consistently recognized for exceptional leadership in managing diverse teams of engineers, designers, and marketers, fostering a collaborative environment that accelerated product development cycles by 15%.
Invited to speak at the 'Future of Product' Tech Conference 2023 on the topic of 'Data-Driven Product Roadmapping for Scalable Growth,' sharing insights with over 500 industry professionals.
California State University, Northridge - Year 2010
General Assembly - Year 2016
New York University - Year 2012
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BENlabs is an entertainment AI company that empowers brands and creators to connect with audiences through influencer marketing, product integration in TV, streaming, film, and music, and AI-driven content solutions. They leverage proprietary AI and deep learning to predict content performance and identify optimal brand engagement opportunities for global brands.
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