Engineers who talk too much make, it turns out, really excellent partnership leaders. She said it, not me! Samantha Clarke discovered this truth at a women in engineering event hosted by EMC years ago, where a session on personality types basically helped her realize that not every engineer wants to talk constantly. That insight, kind of funny as it sounds, actually shaped her transition from designing ovens in New Zealand to leading partnerships at VDURA, where she's now helping customers solve some of the world's biggest technical challenges with high-performance computing and AI partnerships.
Clarke is, in fact, one of the 2025 Herizon Award winners, recognized for transforming business through her work building partnership ecosystems in the AI and storage space. Her career trajectory from hands-on engineering to commercial leadership offers really valuable lessons about problem-solving, co-creation, and what it takes to succeed in an industry where data has essentially become the engine, not just the tires.
The Engineering Mindset in Partnership Building
When you think about it, sales and partnerships are actually a lot like engineering. Both require problem-solving skills, both demand understanding complex systems, and both benefit from someone who can basically figure things out methodically. Clarke's first role out of college was, as she describes it, kind of perfect for building this foundation.
Working as a project engineer designing ovens with electronics in New Zealand, she got to touch everything from initial design through certifications, field training, and team launches. Her manager's approach was pretty straightforward, give her a problem and let her figure it out. That breadth of experience, very much, shaped how she thinks about partnership strategy today.
"I always recommend something that gives you kind of a wide view of things you can touch or be responsible for," Clarke explains when mentoring younger professionals. The advice really resonates because specialization, while valuable, can actually limit your understanding of how different pieces fit together. And understanding how pieces fit together is basically the entire job in partnership development.
The transition from engineering to commercial roles wasn't, in fact, about abandoning technical knowledge. Rather, it was about applying that problem-solving mindset to a different set of challenges. How do you architect a partnership ecosystem? How do you design solutions that actually meet customer needs? How do you troubleshoot relationships the way you might debug code?
High-Performance Computing Meets AI Reality
HPC and AI have kind of come together now in ways that are really transforming how we work and what's possible. Clarke used ChatGPT to prepare for her podcast conversation, which is actually a perfect example of output acceleration. That acceleration, that's what the HPC and AI world is fundamentally about.
Drug trials that used to take years can now be compacted down significantly through computational modeling. Weather analysis that required massive computing clusters can now deliver more accurate predictions faster. Autonomous driving systems process sensor data in real-time to make split-second decisions. And just yesterday, Clarke visited a customer who's working to make autonomous electric air transport real within the next two to five years.
According to industry research on AI infrastructure, organizations are investing heavily in the storage and computing capabilities needed to support AI workloads. The challenge, very much, is that these systems need to go extremely fast, serve demanding applications, but also be easy to use, scalable, and affordable.
VDURA's file system ticks those boxes in a pretty unique way. But here's the thing, as Clarke readily acknowledges, they're just one piece of the puzzle. Storage used to be like the tires on the car, she says. Now AI is making data like the engine. They're getting more important, apparently, but they're still just part of the car.
The Co-Creation Model Replaces Go-It-Alone
The old model of trying to be everything to everyone doesn't really work anymore. Organizations spent years, decades even, attempting to do everything well. But nobody actually does that successfully. The digital transformation wave and now the AI adoption boom have basically made it clear that you need partners to co-create solutions.
When Clarke joined Seagate in a software partnerships role, she got to see all the different solutions and basically realized the industry was looking for something specific. Customers wanted performance, usability, scalability, and affordability all together. Finding a single vendor who could deliver all of that was, frankly, impossible.
The transition to VDURA was driven by that realization. The product was strong, the technology was solid, but the real opportunity was in how partnerships could actually amplify what the company offered. And that's where the challenge began.
"We were very much an individual sales-led company when I joined," Clarke explains. Partners were kind of just pushing paper, and the sales team didn't really see the value. Convincing sales leaders and reps that partnerships could actually grow their territories and revenue, that was the biggest hurdle.
The breakthrough came through demonstrating value in really concrete ways. Partners brought opportunities that sales reps wouldn't otherwise have access to. Those big consultancy companies are still doing the big things, but resellers and channel partners have their own trusted relationships with customers. And when you have that trusted relationship, you're the only one who can actually lead a customer to new technology.
Research shows that companies with strong partner ecosystems typically see 30-40% of revenue coming through those channels. For early-stage companies like VDURA, building that ecosystem isn't optional, it's basically required for scaling efficiently.
Verticalization and Solution Building
Nvidia has, according to Clarke, set a gold standard for how to approach giving people solutions. They took a verticalized approach, focusing on specific industries and use cases rather than trying to be everything to everyone. VDURA is doing the same thing.
Their verticals are very much those with high data content and performance needs. People designing airplanes. Teams building autonomous helicopters. Organizations solving the biggest challenges in healthcare. By proving out solutions and learning from leading customers in those spaces, you can actually put together offerings that work almost off the shelf.
This approach is, in fact, more powerful than traditional consulting in many situations. Instead of a consultant coming in, assessing, and recommending from afar, you've got technology partners who understand the specific challenges and can actually implement solutions quickly. Speed matters, particularly in AI where the technology is advancing so fast.
"You don't need to reinvent the wheel," Clarke notes. "Someone's most likely got a solution." The key is finding who fits well together and building that jigsaw puzzle of capabilities. Her favorite part of the job is actually figuring out who VDURA fits well with and marrying those strengths together.
The Human Element in an AI-Powered Future
Looking forward five years, Clarke is both excited and, she admits, terrified about where AI is heading. We're in this hype cycle and nobody really knows where we are. We think we might be at the top, maybe. There could be ten million years ahead of us if you listen to Ray Kurzweil and others.
But the basics, Clarke believes, will always stand still. AI will help us accelerate and do incredible things, but the people part, the empathy, the relationships, those are the pieces that will remain very much human. "The basics will stay there," she says. "We may be able to do things faster and AI might work out the jigsaw for us, but I think the basics will still be there."
This perspective actually aligns with broader thinking about AI's role in business. As AI becomes more prolific and commoditized, there will likely be a flight to quality and a flight to humanity. The human element still matters because we're doing all of this for humans.
For partnership leaders, this means the relationship-building skills become even more critical. AI can help with analysis, with matching capabilities, with identifying opportunities. But trust, empathy, and genuine collaboration, those still require human connection.
Practical Advice for Enterprise AI Adoption
When asked what customers should think about before jumping into HPC and AI, Clarke offers really practical guidance. There's a lot of power in the cloud, particularly the new clouds that are very much focused on AI. If you're a startup or you're still figuring out your direction, the cloud is actually built for testing.
Her advice to her husband, who has a startup, is pretty straightforward. You don't have enough data yet and you probably don't know where you're going to be next year. So build where you should be from a business and latency point of view. There's an article from a16z that basically says when you're growing and figuring out what value you can get from AI, test it in the cloud because that flexibility is valuable.
But here's the critical part, know what you're taking in and know how to get it out. When you reach the scale where it makes sense economically or from a performance standpoint, you should already have a strategy to transition without massive costs or requiring a big digital transformation consultancy.
"Look at step one, but look forward to step three and four," Clarke recommends. "Make sure that you're architecting to be able to go there easily." It's basically the engineering mindset applied to business strategy. Think through the entire system, not just the immediate need.
Women in Tech Need More Than Recognition
At the end of the conversation, Clarke makes a point that really deserves attention. She had the opportunity to speak at an industry event recently and gave everyone in the room, not just the men, an action item. Find a woman in the industry who needs a little encouragement or confirmation of their success or some mentoring. Take an hour a month to do the right thing.
"Women in our industry are getting rarer and rarer, unfortunately, but bring so much to the industry," Clarke notes. The data actually backs this up. Women remain significantly underrepresented in technology roles, particularly in leadership positions. And the trend isn't improving as quickly as it should.
The Herizon Awards, which recognized Clarke's achievements, represents an effort to address this recognition gap. As the conversation highlighted, these programs will likely become increasingly important as organizations realize the value that diverse perspectives bring to solving complex problems.
Clarke's call to action isn't just about recognition, though. It's about active mentorship and support. Taking an hour a month might not sound like much, but consistently showing up for someone, offering guidance, providing that confirmation, it actually makes a significant difference in retention and advancement.
The Future of Partnership-Led Growth
The partnership model that Clarke has built at VDURA offers a really compelling blueprint for how technology companies can scale in the AI era. Instead of trying to do everything internally, focus on what you do exceptionally well, then build an ecosystem of partners who complement those capabilities.
This approach requires, very much, a different mindset from traditional sales-led growth. It means trusting partners, sharing opportunities, and sometimes stepping back to let the partner lead. For sales organizations used to owning customer relationships directly, that transition can be challenging.
But the results, when done well, speak for themselves. Faster time to market. Solutions that actually meet customer needs because they're built from proven components. Scaling that doesn't require massive headcount growth. And partnerships that create value for everyone involved.
Clarke's engineering background serves her well in this role because she understands systems thinking. She knows that optimizing one component doesn't help if it breaks something else. She recognizes that the strongest solutions come from understanding how pieces fit together, not from any single piece being perfect.
As AI continues transforming industries, the companies that succeed will probably be those that can orchestrate these partnership ecosystems effectively. They'll need people who can think like engineers while talking like salespeople. People who understand both the technical depths and the relationship dynamics. People like Samantha Clarke who discovered that talking too much for engineering is actually just right for partnerships.