
Sign up to save your podcasts
Or


What happens when a startup becomes a giant—and then has to reinvent itself all over again?
In this episode, Martin Casado sits down with Raghu Raghuram (former CEO of VMware) and Jeetu Patel (President and CPO at Cisco) for a deep, tactical conversation on scaling, disruption, and navigating transformation from the inside. They share hard-won lessons from leading two of the most iconic infrastructure companies in tech—through waves like virtualization, cloud, containers, and now AI.
They cover:
If you're building or leading through a major tech wave, this episode is a playbook.
Timecodes:
0:00 Introduction
2:02 Weapons of Mass Disruption: Abstractions, Business Models, and Cloud
5:57 Cisco’s Missed Cloud Wave & Resetting for Innovation
6:39 Operating Like a Startup: Speed, Scale, and Leadership
10:00 Go-to-Market Challenges: Fencing Off Innovation
11:04 Organic vs. Inorganic Growth: Lessons from VMware
12:04 The 10x Rule and Competing with Incumbents
14:39 Structuring for Disruption: Two-Pizza Teams and Ideal Customer Profiles
18:43 Storytelling as Strategy: Galvanizing Large Organizations
19:42 The AI Wave: Consumerization and Infrastructure Demands
25:34 Founders vs. Operators: Leading Transformations
31:47 Product-Led Organizations: From Sales to Product Focus
34:35 The Future of Infrastructure: AI, Market Size, and Vertical Integration
39:34 Timing, Market, Team, Product, Brand, and Scale
41:19 Authenticity, Opportunity, and Final Thoughts
Resources:
Find Martin on X: https://x.com/martin_casado
Find Raghu on X: https://x.com/raghuraghuram
Find Jeetu on X: https://x.com/jpatel41
Stay Updated:
Let us know what you think: https://ratethispodcast.com/a16z
Find a16z on Twitter: https://twitter.com/a16z
Find a16z on LinkedIn: https://www.linkedin.com/company/a16z
Subscribe on your favorite podcast app: https://a16z.simplecast.com/
Follow our host: https://x.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Stay Updated:
Find a16z on X
Find a16z on LinkedIn
Listen to the a16z Podcast on Spotify
Listen to the a16z Podcast on Apple Podcasts
Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
By Andreessen Horowitz4.3
992992 ratings
What happens when a startup becomes a giant—and then has to reinvent itself all over again?
In this episode, Martin Casado sits down with Raghu Raghuram (former CEO of VMware) and Jeetu Patel (President and CPO at Cisco) for a deep, tactical conversation on scaling, disruption, and navigating transformation from the inside. They share hard-won lessons from leading two of the most iconic infrastructure companies in tech—through waves like virtualization, cloud, containers, and now AI.
They cover:
If you're building or leading through a major tech wave, this episode is a playbook.
Timecodes:
0:00 Introduction
2:02 Weapons of Mass Disruption: Abstractions, Business Models, and Cloud
5:57 Cisco’s Missed Cloud Wave & Resetting for Innovation
6:39 Operating Like a Startup: Speed, Scale, and Leadership
10:00 Go-to-Market Challenges: Fencing Off Innovation
11:04 Organic vs. Inorganic Growth: Lessons from VMware
12:04 The 10x Rule and Competing with Incumbents
14:39 Structuring for Disruption: Two-Pizza Teams and Ideal Customer Profiles
18:43 Storytelling as Strategy: Galvanizing Large Organizations
19:42 The AI Wave: Consumerization and Infrastructure Demands
25:34 Founders vs. Operators: Leading Transformations
31:47 Product-Led Organizations: From Sales to Product Focus
34:35 The Future of Infrastructure: AI, Market Size, and Vertical Integration
39:34 Timing, Market, Team, Product, Brand, and Scale
41:19 Authenticity, Opportunity, and Final Thoughts
Resources:
Find Martin on X: https://x.com/martin_casado
Find Raghu on X: https://x.com/raghuraghuram
Find Jeetu on X: https://x.com/jpatel41
Stay Updated:
Let us know what you think: https://ratethispodcast.com/a16z
Find a16z on Twitter: https://twitter.com/a16z
Find a16z on LinkedIn: https://www.linkedin.com/company/a16z
Subscribe on your favorite podcast app: https://a16z.simplecast.com/
Follow our host: https://x.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Stay Updated:
Find a16z on X
Find a16z on LinkedIn
Listen to the a16z Podcast on Spotify
Listen to the a16z Podcast on Apple Podcasts
Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

1,283 Listeners

527 Listeners

340 Listeners

3,985 Listeners

232 Listeners

104 Listeners

9,829 Listeners

489 Listeners

146 Listeners

25 Listeners

59 Listeners

133 Listeners

125 Listeners

509 Listeners

33 Listeners

22 Listeners

41 Listeners

40 Listeners

42 Listeners