DiscoverEngineering Leadership Excellence PodcastWhat staff+ engineers need to be successful in the ML field (with Žilvinas Girėnas)
What staff+ engineers need to be successful in the ML field (with Žilvinas Girėnas)

What staff+ engineers need to be successful in the ML field (with Žilvinas Girėnas)

Update: 2024-10-21
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In this episode, Robin interviews Žilvinas Girėnas, a Senior Engineering Manager at Productboard.
 
They dive into Žilvinas’ experience leading a machine learning team focused on building Productboard AI. The discussion covers the team’s unique approach to working with AI, the challenges and strategies in hiring ML engineers, and their transition to building an internal AI platform. 

Žilvinas also shares insights on shaping the team’s delivery process with the Shape Up methodology, how ML engineers need both technical and product knowledge, and the importance of balancing leadership and engineering skills in their roles.


Interested in joining our growing team at Productboard? Well, we’re hiring across the board! Check out our careers page for the latest vacancies. We’d love to hear from you!

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What staff+ engineers need to be successful in the ML field (with Žilvinas Girėnas)

What staff+ engineers need to be successful in the ML field (with Žilvinas Girėnas)

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