I assemble and optimize remote engineering teams that punch above their weight—turning resource constraints into strategic advantages through smart allocation, targeted AI leverage, and relentless execution.

I build integrated LatAm–US teams that deliver faster and leaner—aligning talent with startup and enterprise workflows through shared goals, rigorous KPIs, and cultural calibration.

I launch AI-powered MVPs (like ChatWithSpreadsheets.com) that go from concept to real-world validation fast, embedding AI into user operations to accelerate decision-making and execution.

I scale talent pipelines through recruiting clarity, accountability frameworks, and retention tactics making high performance predictable, repeatable, and profitable.

I’m not hiring right now, but I think the most effective engineering interview in 2026 is simple:
Give someone a task and explicitly tell them to use AI. Then watch how they navigate.
I don’t even care about the final result.
Because the way someone drives AI is one of the fastest ways I’ve ever seen to expose bad engineers.
The wild part is most people think “driving AI” means typing prompts.
It doesn’t.
Driving AI is:
knowing when to stop
knowing when to course correct
knowing when to let it run
knowing when to stop talking and start verifying
You can tell in 10 minutes who’s going to burn tokens and who’s going to ship.

Jose Luis Matus

CTO at Nicasource | Staff-Augmentation Architect | LatAm Tech & AI Product Builder

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