Summary
Micah Lanier is a Harvard-trained product and data leader with 11 years of experience building recommendation, personalization, and analytics-driven product experiences across media, retail, and health tech. Currently a Principal Product Manager, Data at Jump, he has led cross-functional teams at Wayfair, The New York Times, Alignable, and Connie Health to translate complex data into revenue-driving and engagement-boosting features. He’s known for founding data functions—turning raw member and customer signals into personalized suggestions, targeted outreach, and measurable growth—and for convincing skeptical stakeholders through rigorous testing and clear ROI. Micah blends deep technical fluency in machine learning and data engineering with product intuition from both MBA and computational science training, and he enjoys collaborating with strong engineering and data science leaders to ship novel experiences. An early career background in consulting and analytics gives him a knack for mounting pragmatic, scalable data programs that get noticed by partners and the press.
11 years of coding experience
7 years of employment as a software developer
B.S. with Honors in the Liberal Arts Economics with a Math Emphasis, B.S. with Honors in the Liberal Arts Economics with a Math Emphasis at University of Wisconsin-Madison
Master of Science (M.S.) Computational Science & Engineering, Master of Science (M.S.) Computational Science & Engineering at Harvard University
Master of Business Administration (M.B.A.) First Year Honors, Master of Business Administration (M.B.A.) First Year Honors at Harvard Business School