Damian Wasserman is the co-founder of BEON.tech, which he started in 2018 with Michel Cohen, and he leads the company’s sales team. Since then he has spent his days connecting leading US companies with top-tier engineers from Latin America. He has always been drawn to two things at once: the technical work of making things run and the business side of building something new, and technology has been the bridge that lets him create more than he could build with his own two hands. After several years away from hands-on coding, AI brought him back over the past two years, and he says he is now several times more productive than before. Today he builds something new almost every day, from integrations and automations to AI skills he shares with the BEON.tech team so the company can lead the way in how engineering teams work with AI. A member of the Forbes Technology Council, Damian writes about nearshore software development, staff augmentation, hiring engineers in Latin America, and how AI is changing the way engineering teams are built.
Bachelor's degree in Computer Engineering from University of Buenos Aires. Specialized in Programming, Project Management, and R&D in web technologies.
Frontend development has come a long way since the days of static HTML pages and simple styling. Today’s web interfaces are fast, interactive, and dynamic—closer to full-blown applications than websites. And over the past five years, we’ve seen another major shift in the evolution of frontend development: from monolithic frontend codebases to modular architectures, performance-optimized…
IT outsourcing in Colombia: senior engineers earn $54K–$94.6K a year, about half US pay, in US Eastern time. Legal setup, common challenges and hiring options.
Frontend development has evolved into a high-stakes balancing act—where engineers juggle design fidelity, performance, accessibility, and fast-changing frameworks. At the same time, AI is no longer just enhancing developer productivity. It’s actively reshaping how interfaces are designed, built, and maintained. In practice, AI in frontend development means tools are emerging that go beyond simple code…
AI is no longer confined to labs or futuristic visions—it’s actively reshaping industries by streamlining operations and accelerating innovation. From automating time-consuming processes to enabling smarter, faster decision-making, AI business solutions are proving their value across sectors. That said, not every AI tool lives up to the promise. Many solutions sound great on paper but…
Artificial Intelligence (AI) is everywhere and it’s actively reshaping the software development landscape. From automating mundane tasks to enhancing code quality and redefining developer roles, AI-driven software development is revolutionizing the entire software development lifecycle. In fact, according to McKinsey, generative AI alone could add 2.6 trillion to 4.4 trillion annually to the global economy.
A practical guide to software development outsourcing for US companies: when to outsource, which model to choose, how to vet a partner, and why LATAM works.
Latin America has 2M+ software engineers, led by Brazil, Mexico and Argentina, with US-aligned hours and strong JavaScript and Python skills. Why US teams hire.
Why are so many U.S. companies turning to Latin America for nearshoring opportunities? If you’ve wondered about this, we’re here to explain. Rapid technological advancements have turned LATAM countries into gateways to highly skilled tech talent. Here’s why they’re so appealing: Of these countries, Chile has emerged as a top outsourcing destination. Here’s why outsourcing…
Having trouble finding the right tech talent? In 2024, 31.5% of IT services were outsourced, and companies are shifting strategy to get access to top skills and innovative solutions that go beyond what’s available locally. Latin America is a hotbed for U.S. companies to hire from, with Mexico, Argentina and Brazil leading the charge. But…
Strategic insights on AI, engineering performance, and tech talent — curated for tech leaders.
A monthly briefing by Damian Wasserman with clear analysis, practical frameworks, and
market signals to help leaders scale engineering teams and make high-impact decisions.