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Kevin Showkat

Kevin Showkat

telemetry for generative AI • evals & drift

West Hollywood, California

Summary

Kevin Showkat demonstrates deep expertise in product management, particularly within the EdTech sector. At Subject, he transitioned from a data role to Director of Product, where he leads product strategy, actively engages with classroom environments to understand user needs, and focuses on balancing the often-conflicting requirements of teachers and students. His work includes developing automated quality control systems for educational content and streamlining data insights for schools through automated Looker reports. linkedin+3
With a strong foundation in data science and analytics from his roles at LinkedIn, Kickstarter, and Spotify, Kevin applies a data-driven yet intuitive approach to product development. He emphasizes pattern recognition, understanding user behavior, and combining data insights with human psychology, competitive dynamics, and business strategy. His presentation "Kickstarter Data-Driven University" highlights his analytical rigor in exploratory data analysis, causality, and effective data visualization. linkedin+2
Kevin possesses a notable entrepreneurial drive, demonstrated by his founding and leading of Wager Town, a gambling application. This experience fostered a deep sense of ownership and accountability, fundamentally altering his perspective on product development and pushing him to tackle complex technical and user challenges independently. linkedin
Kevin Showkat is an innovator in audio advertising, evidenced by his work as a Product Manager at Spotify and his co-invention of multiple patents. These patents describe advanced systems for enabling user interaction with audio advertisements through voice-interactive devices, focusing on seamless and personalized ad experiences that connect brands with listeners. spotify+1
Currently working independently, Kevin specializes in generative AI, focusing on telemetry, evaluations, and drift monitoring. This indicates a current area of deep interest and expertise in the rapidly evolving field of artificial intelligence.
Kevin advocates for a leadership style that emphasizes direct engagement with the product's details and user friction, rather than solely relying on high-level strategy. He believes in being "in the weeds" to truly understand and solve problems, drawing lessons from leaders who maintain close contact with the ground truth of their products. linkedin

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