Brian Zeeman is a seasoned Product Management leader with over 12 years of experience in driving product strategy, vision, and execution for B2B and B2C SaaS platforms. He excels at translating complex user needs and market opportunities into innovative and commercially successful products. Brian has a strong background in agile methodologies, user-centric design, and data-driven decision-making. He is passionate about building high-performing teams and fostering a collaborative environment to deliver exceptional user experiences and achieve business objectives. His expertise spans across market research, competitive analysis, roadmap development, A/B testing, and go-to-market strategies.
Brian Zeeman's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the cross-functional team (engineering, design, marketing) from concept to launch for a new AI-driven analytics tool, which acquired 10,000+ users in its first 6 months and won 'Most Innovative SaaS Product' at the Tech Innovators Summit 2022.
Drove a series of data-backed feature enhancements and UX improvements for a mature product line, resulting in a 40% increase in daily active users and a 25% uplift in customer retention over 18 months.
Successfully scaled the product management team from 3 to 10 members, implementing robust agile processes and mentorship programs that improved team velocity and product quality.
Delivered a keynote presentation on 'The Future of AI in Product Management' to an audience of over 500 product professionals, sharing insights on leveraging emerging technologies for product innovation.
Northeastern University London - Year 2023
Lake Forest High School - Year 2019
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Koios Medical develops artificial intelligence (AI) software to assist radiologists in the early detection and diagnosis of cancer, primarily using ultrasound images for breast and thyroid assessments. Their flagship product, Koios DS™, aims to improve diagnostic accuracy, reduce variability among physicians, and enhance workflow efficiency in clinical settings by providing clinicians with a powerful, AI-driven second opinion.
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