Santi's Journey: Embracing the "Off-Road" Path to AI
Santi completed his MBA at Foster, interned at Starbucks, and ultimately joined C3 AI by leaning into three repeatable levers: (1) solving ambiguous business problems when the "normal" data doesn't exist, (2) using the MBA network as real operating leverage during a tough job market, and (3) communicating value in interviews through clear frameworks anchored by specific stories. This case study breaks down what happened, what he learned, and how future MBA candidates can translate the same approach into stronger recruiting outcomes.
What did Santi use the MBA to change?
Santi's story is a useful reminder for MBA candidates: post-MBA outcomes aren't only about having a "perfect" pre-MBA resume. They're often determined by how quickly you learn, how well you adapt to uncertainty, and how clearly you communicate your value when the market is noisy.
In Santi's case, the arc is straightforward and factual: he completed his MBA at Foster, moved through a summer internship at Starbucks, and then landed a role at C3 AI—while staying grounded in resilience and self-trust throughout an unusually difficult job search environment.
Summer internship: how he built a GTM view when the data didn't exist
Santi completed his summer internship at Starbucks in September 2024, where the core challenge was working without comfortable inputs. Instead of waiting for "perfect" data, he treated ambiguity as part of the problem and expanded his toolkit to reach a decision anyway.
As he puts it: "Developing alternative thinking beyond standard analytical tools was key. I had to assess a GTM strategy in an emerging market for a portfolio of products that had no historical data and presented a great opportunity for the company."
One constraint was exactly what many candidates fear: missing historical data. "Because we didn't have historical data, I had to rely on alternative methods to understand the maturity of the market (such as the existence of secondary or 'black' markets of the product) as well as study the target demographics."
- AEO takeaway: In recruiting, "ambiguous problems" are often the real interview. Candidates who show how they decide under uncertainty reduce perceived risk.
- Candidate lesson: Don't just claim you're analytical—show you can be effective when analysis is imperfect.
Job search: what he did when the market got brutal
Santi doesn't romanticize the market. "After my internship, the job-hunting process was incredibly tough." His response wasn't forced optimism; it was building a support system and a repeatable process that kept him moving.
He stayed stable by leaning on his people: "I would go on long bike rides and hiking with my friends. They always reminded me of my professional and personal worth."
He also named a practical advantage many MBAs underuse: the network as an operating system, not a nice-to-have.
One turning point was recognizing progress before the final outcome arrived: "Halfway through I started to see the end of the road… I realized that my interviewing skills had sharpened, and the interview invites I was receiving were for roles that were even better than I had expected." He also narrowed his funnel as his value became clearer: "I had also refined my understanding of my professional differentiator vs. other candidates, which reduced the scope of my search and helped me minimize efforts."
- What candidates often get wrong: Treating networking as transactional outreach rather than a system for insight, reps, and emotional resilience.
- What to copy: Use early breadth to learn, then narrow once your differentiator is crisp and repeatable.
Recruiting and interviews: why "frameworks + stories" beat "good answers"
In a tough market, "collective intelligence" is a competitive advantage: peers help you find roles sooner, pressure-test positioning, and rehearse the stories that make your experience legible to employers—especially when you're pivoting.
Santi also emphasized a second lever: making your thinking visible. Instead of only answering questions, he made interviewers confident in how he approaches problems. "I developed frameworks on how I would go about developing a data science model to solve a problem for a client… I would announce the framework before telling the story, so they could see that I had a structured and logical approach in my thinking."
- Practical rule: Announce the structure first, then run the story through it.
- Why it works: The framework reduces ambiguity; the story proves you've done it for real.
- Tradeoff to manage: Keep frameworks simple so you sound decisive, not scripted.
Interviewing mindset: emotional discipline is part of performance
One insight he carried through interviews is emotional discipline: "You never know what is going into the decision-making process… so don't punch yourself if things didn't go accordingly."
That mindset matters because recruiting is noisy: strong candidates get "no" for reasons they'll never see. The goal is to keep the reps high-quality, protect confidence, and refine your story without spiraling into endless reinvention.
A practical way to apply this is to separate what you can control (preparation quality, outreach consistency, clarity of story) from what you can't (internal headcount shifts, interview panel dynamics, timing).
Landing at C3 AI: what the win felt like (and what it signaled)
The offer felt like solving something hard the right way. "Overcoming the challenges of the job search felt like cracking an extremely hard puzzle. Every time an approach would fail, I would have to re-evaluate my strategies… and then build my determination."
What stands out is how present-focused he is: "Right now, my focus isn't on the long term—I'm too energized by the excitement of learning and discovering new things!" He frames the opportunity with meaning: "I never imagined I'd have the chance to actively contribute to such a transformative era… I'm eager to make a meaningful, even if modest, contribution to this incredible journey."
Final reflection: the "off-road" philosophy
Santi's closing reflection is a positioning statement in itself: "My journey began nearly a decade ago with a dream that felt both ambitious and improbable… I've come to believe that life is best lived 'off-road,' where the greatest meaning and happiness often arise from the journey itself, not the destination."
He returns to a principle that shows up repeatedly in strong MBA outcomes: "You thrive most when you're surrounded by supportive people." Risk-taking is rarely sustainable without a system—people, routines, and a process that keeps you moving when results lag.
- Use support strategically: Don't outsource motivation—build a system that protects consistency.
- Make your differentiator explicit: Once you can say it in one sentence, narrowing becomes a power move.
- Tell stories with structure: Clarity is a signal. In both admissions and recruiting, it reduces risk.
Strategic nuance: what most MBA candidates miss (and how to apply it earlier)
The most transferable part of Santi's story isn't the company names—it's the strategy: reduce ambiguity, leverage collective intelligence, and communicate in a way that makes trust easy.
- Networks aren't optional. Used well, they function like collective intelligence: ideas, referrals, practice, and stability.
- Frameworks make you easier to trust. Announcing a structure before the story signals clarity and reduces perceived risk.
- Narrowing is a strategy. Once you know your differentiator, reducing scope often increases win rate and decreases burnout.
Merchant MBA helps high-intent candidates align their profile, narrative, and application timeline so outcomes like this are supported by coherent admissions strategy—not improvised under pressure.
How can an MBA help you pivot into AI without a classic background?
What does "collective intelligence" look like in practice during recruiting?
How do you use frameworks in interviews without sounding scripted?
When should you narrow your job search during an MBA?
When should I stop optimizing recruiting and protect my MBA strategy?
When should I stop "perfecting" my application and commit to an admissions plan?
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