Skip to main content

VMware Announces Executive Changes

VMware announced the appointment of Maurizio Carli to EVP, Worldwide Sales. Carl Eschenbach, President and Chief Operating Officer, has resigned from his operational role to pursue a new career opportunity. Eschenbach will continue formally as strategic advisor to CEO Pat Gelsinger, the VMware Board of Directors and the executive team.

Eschenbach's current responsibilities will be assumed by other members of VMware's leadership team:

Maurizio Carli has been promoted to EVP, Worldwide Sales, responsible for Americas, APJ and EMEA as well as pre-and post-sales engineering, and all worldwide channels. Carli most recently led VMware's Americas region overseeing strategic planning, business operations and the management of key functions including sales, channels, services and field marketing. Prior to the Americas role, Carli spent seven successful years leading the VMware EMEA region. Carli also spent five years at Business Objects as SVP and GM, EMEA, and 19 years at IBM.

Peter McKay will lead the Americas field organization moving forward. McKay most recently led the Americas Enterprise Segment and previously was COO for the Americas. He joined VMware as part of the Desktone acquisition in 2013.

Ray O'Farrell has been promoted to EVP and will be expanding his role as CTO and Chief Development Officer to include responsibility for VMware's Global Services and Customer Advocacy, giving O'Farrell purview over VMware's entire customer product experience. O'Farrell has enjoyed a distinguished career as an engineer and software developer, including leadership positions with Mentor Graphics and Improv Systems. He joined VMware in 2003 and has led VMware engineering for many years, primarily focused on cloud infrastructure and VMware's software-defined data center portfolio.

Sanjay Poonen, EVP and GM, End-User Computing, will expand his role to also lead the company's worldwide marketing and communications functions. Poonen joined VMware in 2013 to lead the End-User Computing business, and previously held executive and general management positions at SAP, Symantec, Informatica, and engineering roles at Apple, and Microsoft.

"With the executive changes we are making today, as well as the recent addition of Zane Rowe as our new CFO, we are well positioned to continue helping our customers transition to the mobile-cloud era," said Pat Gelsinger, CEO, VMware.

"Carl Eschenbach has had significant impact on the company since the day he joined VMware 14 years ago," added Gelsinger. "On behalf of VMware employees everywhere, I thank Carl for his many contributions in making VMware the great company it is today. We wish him all the best in his next endeavour, and I am personally thrilled he will be serving as a strategic advisor moving forward."

"Today, as I share a very personal decision to start a new journey for my family and me, I thank VMware for all of the opportunities it has afforded me," commented Carl Eschenbach, president and chief operating officer, VMware. "As I transition into the role of strategic advisor for a company I have been a part of for over 14 years, I see incredible opportunities that lie ahead for VMware and for our customers. Having worked with Maurizio Carli for the last seven years, I have tremendous confidence in his ability to lead VMware's global sales team."

As previously announced, Rowe started as chief financial officer today. All other executive changes are effective April 1, 2016.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

VMware Announces Executive Changes

VMware announced the appointment of Maurizio Carli to EVP, Worldwide Sales. Carl Eschenbach, President and Chief Operating Officer, has resigned from his operational role to pursue a new career opportunity. Eschenbach will continue formally as strategic advisor to CEO Pat Gelsinger, the VMware Board of Directors and the executive team.

Eschenbach's current responsibilities will be assumed by other members of VMware's leadership team:

Maurizio Carli has been promoted to EVP, Worldwide Sales, responsible for Americas, APJ and EMEA as well as pre-and post-sales engineering, and all worldwide channels. Carli most recently led VMware's Americas region overseeing strategic planning, business operations and the management of key functions including sales, channels, services and field marketing. Prior to the Americas role, Carli spent seven successful years leading the VMware EMEA region. Carli also spent five years at Business Objects as SVP and GM, EMEA, and 19 years at IBM.

Peter McKay will lead the Americas field organization moving forward. McKay most recently led the Americas Enterprise Segment and previously was COO for the Americas. He joined VMware as part of the Desktone acquisition in 2013.

Ray O'Farrell has been promoted to EVP and will be expanding his role as CTO and Chief Development Officer to include responsibility for VMware's Global Services and Customer Advocacy, giving O'Farrell purview over VMware's entire customer product experience. O'Farrell has enjoyed a distinguished career as an engineer and software developer, including leadership positions with Mentor Graphics and Improv Systems. He joined VMware in 2003 and has led VMware engineering for many years, primarily focused on cloud infrastructure and VMware's software-defined data center portfolio.

Sanjay Poonen, EVP and GM, End-User Computing, will expand his role to also lead the company's worldwide marketing and communications functions. Poonen joined VMware in 2013 to lead the End-User Computing business, and previously held executive and general management positions at SAP, Symantec, Informatica, and engineering roles at Apple, and Microsoft.

"With the executive changes we are making today, as well as the recent addition of Zane Rowe as our new CFO, we are well positioned to continue helping our customers transition to the mobile-cloud era," said Pat Gelsinger, CEO, VMware.

"Carl Eschenbach has had significant impact on the company since the day he joined VMware 14 years ago," added Gelsinger. "On behalf of VMware employees everywhere, I thank Carl for his many contributions in making VMware the great company it is today. We wish him all the best in his next endeavour, and I am personally thrilled he will be serving as a strategic advisor moving forward."

"Today, as I share a very personal decision to start a new journey for my family and me, I thank VMware for all of the opportunities it has afforded me," commented Carl Eschenbach, president and chief operating officer, VMware. "As I transition into the role of strategic advisor for a company I have been a part of for over 14 years, I see incredible opportunities that lie ahead for VMware and for our customers. Having worked with Maurizio Carli for the last seven years, I have tremendous confidence in his ability to lead VMware's global sales team."

As previously announced, Rowe started as chief financial officer today. All other executive changes are effective April 1, 2016.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.