Heather Houston is a highly accomplished and results-oriented Senior Product Manager with over 12 years of experience in the tech industry, specializing in SaaS and mobile application development. She possesses a strong track record of leading cross-functional teams to define, build, and launch innovative products that meet both user needs and business objectives. Heather is passionate about user-centric design, data-driven decision-making, and agile methodologies. Her expertise spans market research, product strategy, roadmap planning, UX/UI collaboration, and go-to-market execution. Colleagues describe her as a collaborative leader, a strategic thinker, and an excellent communicator adept at translating complex technical concepts into clear, actionable plans.
Heather Houston'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 mobile application, acquiring over 500,000 users within the first six months and achieving a 4.7-star rating on app stores.
Drove a 30% increase in daily active users for a key SaaS product by spearheading a user research initiative and implementing data-backed feature enhancements and UX improvements.
Developed and executed a product strategy for a B2B software solution that resulted in a $5 million increase in Annual Recurring Revenue (ARR) through market expansion and targeted feature releases.
Selected as a speaker at ProductCon Global 2022, presenting on 'Leveraging AI for Personalized User Experiences in SaaS Products' to an audience of over 1,000 product professionals.
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Engage3, acquired by Dexi.io in 2022, is a retail technology company specializing in AI-powered price optimization and competitive intelligence. Their solutions help retailers and consumer packaged goods (CPG) brands to understand competitor pricing, optimize their own pricing strategies, and ultimately improve profitability and market positioning. The platform leverages data science and machine learning to provide actionable insights from vast amounts of product and pricing data.
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