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

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Manage episode 446204098 series 2817980
Content provided by Productboard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Productboard or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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!

  continue reading

13 episodes

Artwork
iconShare
 
Manage episode 446204098 series 2817980
Content provided by Productboard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Productboard or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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!

  continue reading

13 episodes

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