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#13 Gintas Dirse - Building RevOps foundations & the potential of AI

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Manage episode 441869859 series 3553755
Innhold levert av Liam Wilson. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Liam Wilson eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

In this episode of All Things Being SQL, we sit down with Gintas Dirse, a seasoned RevOps leader with a diverse background in engineering and startups. Gintas shares his journey from a small farm in Canada to leading RevOps teams across multiple global startups. He dives into the importance of aligning RevOps with company-wide growth strategies, emphasizing the need for leadership buy-in, and explains how standardizing RevOps functions can enhance organizational efficiency.

Gintas also explores the potential of AI in transforming RevOps and forecasts the growing demand for GTM (Go-To-Market) engineers to augment human capital. His insights provide a roadmap for leveraging AI to optimize processes and how RevOps teams can play a pivotal role in driving profitability and growth in modern startups.

Tune in to learn how Gintas approaches building RevOps from the ground up, the challenges of creating alignment across sales, marketing, and customer success, and how AI could revolutionize the future of RevOps.

As always, we're brought to you by Infer, a game changing analytics platform allowing RevOps teams to do AI powered analytics all using SQL & within their current GTM stack.

Music by Noisyfilter from Fugue

Show produced and edited by the awesome team at Sound Media

  continue reading

15 episoder

Artwork
iconDel
 

Arkivert serier ("Inaktiv feed" status)

When? This feed was archived on December 26, 2024 22:36 (3M ago). Last successful fetch was on October 14, 2024 22:07 (5M ago)

Why? Inaktiv feed status. Våre servere kunne ikke hente en gyldig podcast feed for en vedvarende periode.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 441869859 series 3553755
Innhold levert av Liam Wilson. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Liam Wilson eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

In this episode of All Things Being SQL, we sit down with Gintas Dirse, a seasoned RevOps leader with a diverse background in engineering and startups. Gintas shares his journey from a small farm in Canada to leading RevOps teams across multiple global startups. He dives into the importance of aligning RevOps with company-wide growth strategies, emphasizing the need for leadership buy-in, and explains how standardizing RevOps functions can enhance organizational efficiency.

Gintas also explores the potential of AI in transforming RevOps and forecasts the growing demand for GTM (Go-To-Market) engineers to augment human capital. His insights provide a roadmap for leveraging AI to optimize processes and how RevOps teams can play a pivotal role in driving profitability and growth in modern startups.

Tune in to learn how Gintas approaches building RevOps from the ground up, the challenges of creating alignment across sales, marketing, and customer success, and how AI could revolutionize the future of RevOps.

As always, we're brought to you by Infer, a game changing analytics platform allowing RevOps teams to do AI powered analytics all using SQL & within their current GTM stack.

Music by Noisyfilter from Fugue

Show produced and edited by the awesome team at Sound Media

  continue reading

15 episoder

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