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Vlada Grebenykova CMO | Enterprise GTM & Commercial Growth | Building Repeatable Revenue Engines for Technically Complex Scale-ups

getty​For more than 17 years, I’ve worked as a CMO or strategic marketer in both executive leadership and fractional roles, building startups and helping scale-ups navigate growth. During that time, I’ve seen marketing evolve through social media, automation, sophisticated analytics and countless technologies promising to transform how we work. Each wave brought new opportunities and pressure to adopt quickly or risk falling behind.​

AI represents a more fundamental shift than just producing content or automating activities faster. What interests me most is how AI is changing the way marketing teams operate, make decisions and develop capabilities that previously required significantly more resources.

Experience has taught me that technology alone rarely creates a lasting competitive advantage. The difference comes from how leaders integrate it into their organizations, the people they surround themselves with and the judgment they apply.

Moving Beyond Marketing Automation​For years, marketing technology focused on making existing processes more efficient. Today, we are moving toward something more interesting: connecting research, analysis, strategic thinking and execution through intelligent systems.​

Tools such as Claude, its Cowork capabilities, reusable AI Skills and agentic workflows illustrate how quickly this environment is developing. Instead of treating AI as an assistant for individual tasks, organizations can create connected capabilities that support complex, multistep work.​

Take competitive intelligence as an example. Understanding a market requires more than collecting competitor information. AI can accelerate research and analysis, giving teams more time to challenge assumptions and develop meaningful recommendations. Experienced marketers understand the commercial context behind the data, recognize when an opportunity isn’t worth pursuing, and know that the most compelling strategic direction isn’t always the most obvious one.​

From Individual Tools To Organizational Capabilities​One pattern I’ve noticed is how easily organizations become distracted by technology itself. We saw it with marketing automation, CRM systems and analytics tools, and we’re seeing something similar with AI.

Providing teams with access to the latest models is a starting point, not a strategy. The greater opportunity lies in building repeatable capabilities that improve how marketing operates.

​Developments such as reusable AI skills are particularly interesting because they allow expertise, instructions and established processes to become part of consistent workflows. Combined with connected tools and carefully designed agentic systems, they can support market research, messaging evaluation, content quality assurance and performance analysis.​

For marketing leaders, three principles are becoming increasingly important:​

• Build capabilities, not collections of tools. Technology will change, while the organizational knowledge and processes we develop should become more valuable over time.

• Use AI to improve thinking, not simply execution speed. Faster output means little if it doesn’t lead to better decisions or stronger commercial outcomes.

• Keep human expertise at the center. AI should strengthen collaboration, challenge assumptions and expand what talented people can accomplish together.​

These principles are especially relevant for growing businesses, where resources are limited and every investment needs to contribute to meaningful progress.​

Building Teams That Work Differently​Having built marketing functions across startups and scale-ups, I’ve learned that strong teams aren’t necessarily defined by size. They’re defined by their expertise, ability to collaborate and effectiveness in translating strategy into execution.

AI offers an opportunity to rethink that operating model. A strategist can explore positioning hypotheses, a content specialist can assess messaging across audiences, and a demand generation leader can investigate performance patterns more deeply. The real value emerges when those capabilities support one another rather than becoming isolated experiments.​

This also changes how I think about developing marketing talent. Technical familiarity with AI is useful, although curiosity, critical thinking, commercial understanding and asking better questions remain equally important. Teams need confidence to experiment, discipline to validate outputs and freedom to challenge recommendations, whether from a colleague or an algorithm.

Some of the most valuable marketing conversations happen between people with different perspectives. I want AI to make those conversations better informed and more productive, rather than replace them.​

Applying These Principles In An AI-First Environment​At my company, Silent Eight, where artificial intelligence has been central to the business for years, working alongside teams developing sophisticated financial crime compliance technology brings a valuable perspective to marketing leadership.​ In an environment where accuracy, trust and accountability matter deeply, AI’s value depends on the quality of thinking, expertise and responsibility surrounding its application.​

That perspective influences my approach to marketing. I see opportunities to combine advanced AI capabilities with strong positioning, deeper customer understanding, thoughtful collaboration and disciplined execution. The objective is to build a marketing function that learns continuously, adapts intelligently and remains connected to commercial priorities.​

For companies operating in complex B2B markets, this is particularly important. Customers expect substance, credibility and a genuine understanding of their challenges. Producing more content doesn’t automatically build trust, and sophisticated technology cannot compensate for weak market understanding.

The strongest marketing combines technology with the knowledge, creativity and experience of the people using it.​

The CMO As An Architect Of Growth​Looking back over more than 17 years in marketing leadership, I can see how much the CMO role has expanded. Building teams, managing budgets, developing positioning and driving growth remain essential. Increasingly, we’re also responsible for designing how people, technology, information and decision-making come together.​

This requires more than selecting platforms or introducing automation. We need to understand where AI creates meaningful leverage, where human judgment is indispensable, and how to develop systems that improve without compromising quality or trust.​

I believe the next generation of successful marketing organizations will be defined less by their technology stacks and more by their ability to combine strategic clarity, human expertise and intelligent systems. After years of building businesses at different growth stages, one lesson stands out: Sustainable progress comes from consistently making better decisions with the right people.​

AI gives us extraordinary opportunities to expand what’s possible. Marketing leadership must ensure those opportunities translate into real value. The competitive advantage isn’t simply having access to artificial intelligence. It’s knowing how to bring out the best in both artificial and human intelligence.​

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