The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.

In this special minisode celebrating the podcast's 25th episode milestone, hosts Michael Toland and Amritha Arun Babu reflect on their journey so far. They share the key lessons they've learned, moments they've enjoyed, and their excitement for the future of data product management. From insights into AI and ML to the importance of building strong data communities and infrastructure, this episode highlights the most impactful themes and sets the stage for what’s to come in 2025.

• About our Host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. He has worked in product officially since 2016, where he worked at Verizon on large scale system modernizations and migration initiatives for reference data and decision platforms. Outside of his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors fellows with Venture for America, sings in the Columbus Symphony, writing satire posts for his blog Dignified Product or Test Double, depending on the topic, and is excited to be chatting with folks on Data Product Management. Connect with Michael on LinkedIn.

• About our Host Amritha Arun Babu Mysore: Amritha is an accomplished Product Leader with over a decade of experience building and scaling products across AI platforms, supply chain systems, and enterprise workflows in industries such as e-commerce, AI/ML, and marketing automation. At Amazon, she led machine learning platform products powering recommendation and personalization engines, building tools for model experimentation, deployment, and monitoring that improved efficiency for 1,500+ ML scientists. At Wayfair, she managed international supply chain systems, overseeing contracts, billing, product catalogs, and vendor operations, delivering cost savings and optimizing large-scale workflows. At Klaviyo, she drives both AI infrastructure and customer-facing AI tools, including recommendation engines, content generation assistants, and workflow automation agents, enabling scalable and personalized marketing workflows. Earlier, she worked on enterprise systems and revenue operations workflows, focusing on cost optimization and process improvements in complex technical environments. Amritha excels at bridging technical depth with strategic clarity, leading cross-functional teams, and delivering measurable business outcomes across diverse domains. Connect with Amritha on LinkedIn.

All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.

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