Enterprise Account Executive - Multiple Teams

v4c promotes Michael Gibson to Chief Executive Officer. Promotion follows 765% year-over-year revenue growth, investment from Databricks Ventures, and recognition as the 2026 Databricks C&SI Emerging Partner of the Year as v4c continues to expand its world-class Databricks practice v4c.ai, a strategic boutique pure-play Databricks services partner, today announced the promotion of Michael Gibson from Chief Revenue Officer to Chief Executive Officer. Gibson's appointment builds on his leadership in scaling v4c's global sales organization and expands his responsibilities to leadership across the business as the company continues to strengthen its market-leading position in the Databricks ecosystem. As Chief Revenue Officer, Gibson helped scale v4c's global sales organization during a period of 765% year-over-year revenue growth and a 350% increase in its worldwide client base. Central to that expansion has been his focus on aligning v4c's go-to-market strategy with Databricks, building relationships across its field organization, and connecting enterprise customers with the expertise needed to advance their Databricks initiatives. Gibson brings experience on both sides of the enterprise technology relationship: building sales teams within a global software organization and leading growth within technology services. Having been a driving force behind v4c's success, he will build on that foundation with broader responsibility for the company's continued growth and evolution. As CEO, he will work closely with the Board to define v4c's strategy and vision, uniting leaders across all functions to translate that direction into company-wide execution. His focus will span business performance, leadership development, and a culture of collaboration and accountability, while advancing customer success and delivery excellence as v4c enters its next chapter in the Databricks ecosystem. "Mike has been a key driving force behind v4c's meteoric rise, translating our vision into a pace of growth that we believe is unprecedented in the Databricks ecosystem," said Vijay Rao, Founder and Board Member of v4c. "He has built an organization that earns the confidence of Databricks leaders and field teams, wins the trust of enterprise customers, and turns those relationships into shared success. His understanding of where Databricks is going - and how v4c can help our mutual customers get there - will be critical as we continue to expand our capabilities within the ecosystem. The Board is confident that Mike is the right leader to build on this momentum and advance our vision of becoming the world's best Databricks SI." Previously, Gibson served as Senior Area Vice President at MuleSoft, where he led nationwide sales teams serving enterprise customers across banking, retail, consumer goods, and manufacturing. His leadership and performance earned him multiple MuleSoft Owner's Awards for management and culture building, two AVP of the Year honors, and Chairman's Club recognition. His tenure spanned the company's initial public offering and subsequent acquisition by Salesforce, giving him firsthand experience navigating rapid growth and organizational change. That experience also shaped his understanding of how platform providers and services partners work together to earn customer trust, support complex technology decisions, and expand enterprise adoption. Gibson transitions into the CEO role following two major milestones in v4c's relationship with Databricks: an investment from Databricks Ventures and recognition as the 2026 Databricks C&SI Emerging Partner of the Year. Together, these milestones reinforce the strategic alignment between the organizations and provide a foundation for further investment in Databricks expertise, joint field engagement, and global delivery capabilities. "I'm proud of what this team has built and grateful to Vijay, Venkat and the Board for the opportunity to lead v4c," said Gibson. "Databricks is at the heart of our go-to-market, and our vision is to become the world's best Databricks SI partner. That means earning the confidence of Databricks teams in every market we serve and delivering for the customers who trust us with their data and AI priorities. As CEO, I'll focus on deepening those relationships and investing in the people and capabilities that make v4c a partner Databricks can count on as we grow together." In this new role, Gibson will lead v4c's global strategy and execution, deepening strategic alignment with Databricks and guiding investments in the people and capabilities behind the company's growth. His leadership will focus on scaling the business while preserving its culture, advancing delivery excellence, and strengthening the trust v4c has earned with customers and partners. v4c.ai is a premier IT services consultancy specializing in Databricks, helping organizations modernize their data platforms and build enterprise AI capabilities. As a Databricks Ventures portfolio company and the 2026 Databricks C&SI Emerging Partner of the Year, v4c brings expertise across data engineering, AI strategy and governance, generative AI, and machine learning. Learn more at www.v4c.ai. Posted In:

Why MuleSoft, not Agentforce, is Salesforce's most strategic AI asset. Oct 14 2026 MuleSoft Agent Fabric is MuleSoft's recent enhancement to deliver an agentic AI control plane. During the Dreamforce keynote, I noticed something subtle but significant. I didn't see "MuleSoft Agent Fabric." Instead, I saw "Agent Fabric," with the MuleSoft branding dropped and the Salesforce logo replacing the Mule logo in the UI. Forrester sees agentic AI consisting of three planes: the build plane, the orchestration plane for runtime, and the control plane for governance. Long term, I believe the first two will converge: Where you build an AI agent often dictates where you can run it. But it will be impossible to shoehorn all your agents into one build-and-orchestrate platform, resulting in multiplatform sprawl for that part of the agentic AI stack. In contrast, the need for one central place to govern AI agents will push agentic AI control planes to be multiplatform - just like how API management governs APIs across any number of API runtime platforms. That makes the control plane more strategic than the other two. For Salesforce, its emerging agentic AI control plane is Agent Fabric. AI governance is the future of API Management. Leading API management vendors recognize that the agentic AI control plane is the future of the market. I'm even inclined to rename the market "API and AI management" for my next Forrester Wave(TM) evaluation of API management. MuleSoft and competitors Kong and WSO2 have built strong AI gateways to govern LLM and MCP connections. But like APIs, governance is more than just a gateway. Gravitee, Kong, MuleSoft, and WSO2 deliver deep analytics for MCP and LLM token FinOps. MuleSoft has expanded its API portal to include LLMs, MCP servers, and agent cards. Gravitee's beta portal is slated to deliver similar capabilities soon. Both vendors are the first to deliver endpoint versioning for LLM, MCP, and A2A endpoints. Forrester clients can explore this more through Forrester's vendor comparison tool for API management vendors, based on my evaluative research, The Forrester Wave(TM): API Management Software, Q3 2026. Salesforce's advantage over API Management vendors: the full platform. But there are two things that MuleSoft, or rather Salesforce, has to augment its agentic AI governance that those other API management vendors lack: a broad agentic AI orchestration platform and context data to feed agents at runtime. To be clear, it is not assured that Salesforce will deliver a viable AI orchestration + context platform. Today, it is an amalgamation of Agentforce, Data 360, Headless Toolkit, AIforce, Informatica, MuleSoft's iPaaS for deterministic workflows, Slack, and more. Bolted-together Frankensteins create friction through unduly complex user experiences and complicated SKU purchases. But at least it's something. This could go in one of two paths. The ideal path is that Salesforce unifies its Frankenstein into a holistic AI platform with minimal buying and UX friction under one brand. One can imagine a future where Salesforce's agentic AI offering consolidates into three products - and I mean three real products engineered as such, not marketecture. The more likely path is that Salesforce stumbles to deliver. The obvious problem is that bringing together disparate M&A products into something that works is difficult. Notice in the above figure, though, that the control plane is the only layer that isn't currently a stitched-together Frankenstein. Unlike the rest of the platform, Salesforce's AI agent control plane is already one holistic product: Agent Fabric. Between its strategic positioning for buyers, its holistic product design, and its ability to extend Salesforce's reach to agents in every platform, MuleSoft's Agent Fabric, not Agentforce, is Salesforce's most strategic AI asset. AI agent control and governance is the most strategic element of the above for buyers. But AI orchestration is closest to where work gets done, so more economic activity flows through it, resulting in a larger total addressable market for tech vendors to chase after, especially in the near term. That may tempt Salesforce to chase after orchestration at the expense of Agent Fabric when it should be doubling down on Agent Fabric. This is especially likely so long as the Agentforce and MuleSoft business units remain siloed from each other. Agent Fabric has a strong lead compared to the competition. Will Salesforce expand that lead or blow it? MuleSoft's customers and competitors anxiously wait to find out. If you'd like to discuss Salesforce's strategy more deeply with me, schedule a guidance session or inquiry. See david mooter at: Technology & Innovation Forum East November 4-5, 2026, New York City Cut through CX tech noise and buy smarter. I walked into my first Dreamforce as a skeptic. Salesforce has made several attempts at IT service management, and none of them have provided the technical depth needed by IT teams. After a single briefing on the latest product and then months of silence, I had filed the effort under another short-lived experiment. The pre-announcements [...] As AI systems become more autonomous, security alone isn't enough to build trust. Learn how responsible AI helps organizations govern AI agents, manage emerging risks, and keep systems aligned with business goals and values.