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Gen AI-related job listings were particularly common in roles such as data scientists and dataengineers, and in software development. Their pay scales often dont afford top technical talent and often dont have technicalleadership that can accurately and adequately vet the people theyre interviewing, he says.
The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.
Microsoft , LinkedIn , and Airbnb have been especially candid about their journeys towards building an experiment-driven culture and the technology required to support it. Again, it’s important to listen to data scientists, dataengineers, software developers, and design team members when deciding on the MVP.
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