In this episode, Che Sharma, Founder & CEO of Eppo, talks about the relationship between data and engineering teams and how both teams can originate impactful experiments.
Key takeaways:
Data teams are trying to improve decision quality across the org
How do data quality metrics affect the engineering team?
Importance of experiments and feedback loops
Experimentation maturity curve
Engineering can be a source of experimentation
Leadership needs to provide clear metrics to help prioritize
Moving requirements from sales-driven to product-driven
About today’s guest:
Che Sharma is the Founder & CEO of Eppo, a next-gen AB experimentation platform designed to spur entrepreneurial culture. As the 4th data scientist at Airbnb and early data scientist at companies like Webflow, Che has been focused on the maturity curve of growth-stage companies and how data can drive ROI. Che previously led the team that developed Airbnb's knowledge repo and has led data teams focused on production machine learning and instrumentation integrity.
Twitter: @chesharma87
LinkedIn: www.linkedin.com/in/chetanvsharma/
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The Tech Trek explores how engineering leaders build teams that deliver real outcomes. The show looks at the connection between people, impact, and technology, and how that relationship is changing fast with data and AI now at the center of every product and company.
Hosted by Amir Bormand, founder of Elevano, the show features CTOs, VPs of Engineering, heads of data, and technical leaders who have built and scaled teams in high pressure environments. They share the decisions that shaped their path, the experiments that worked, and the thinking they rely on to stay ahead in a world defined by