Episode Details

A Series C company in 2026 can have product market fit and still be in trouble if burn gets sloppy, and the fastest way burn gets weird is AI. When token budgets quietly rival salary costs, the “$300K senior engineer” can turn into a $600K to $700K bet once you add AI usage, overhead, and everything that comes with scaling a late-stage team. We unpack what that new reality means for engineering leaders who need output, stability, and speed without lighting the runway on fire.

We dig into how AI changes the work itself: more code per sprint doesn’t mean you should hire an army of coders. It means you need fewer, stronger builders. Senior engineers who can interpret AI output, integrate systems, fix bugs, make trade-offs, and think like product owners become the highest leverage role on the org chart. That’s also why the US-only talent search often hits a wall: there are only so many veteran engineers available, and competition stays intense.

Then we get practical about nearshore strategy and why Latin America stands out for Series C and later teams. Nearshore hiring in Brazil, Argentina, and across the region can deliver experienced AI-ready software engineers with real judgment, plus time zone alignment that keeps collaboration inside the same sprint instead of midnight handoffs. The upside is not just cost savings, it’s a cleaner operating model: better velocity, better burn discipline, and a better way to fund the token-heavy AI stack that modern development requires.

If you’re building toward growth, new products, or even public-market readiness, hit play and rethink how you staff your senior engineering bench. Subscribe, share this with your leadership team, and leave a review with your biggest question about nearshoring in Latin America.

🎧 Host | Brian Samson – Founder of 💻 Plugg Technologies
🔗 https://www.linkedin.com/in/briansamson/

🎙️ Sponsored by Plugg Technologies – Connecting U.S. companies with top-tier software developers across Latin America.
🌐 https://www.plugg.tech

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