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.
Staff augmentation adds external engineers to your team, under your direction. Outsourcing hands a defined piece of work to a vendor, which decides how to deliver it. The first sells capacity. The second sells an outcome. Everything else, from cost to risk to how much management you need, follows from that difference. Both models are…
Staff augmentation is a hiring model where a company adds external engineers to its own team for a set period, while a partner handles recruiting, payroll, and compliance. The engineers work inside your processes and report to your managers. You keep control of the work. The partner carries the employment. That is the short answer.
Nearshore software development in Mexico: 700,000+ IT professionals, 40–60% savings vs. US hiring and near-total time-zone overlap. Costs, hubs and hiring.
In 1968, Harold Sackman, W.J. Erikson, and E.E. Grant published a study measuring performance differences among a group of professional programmers. Their headline finding was striking: the ratio of initial coding time between the best and worst performers was roughly 20 to 1. Debugging time ratios exceeded 25 to 1. From that data, the concept…
Nearshore vs offshore comes down to overlap hours. Nearshore buys a working day you share; offshore buys a handoff. What that difference costs in practice.
Staff augmentation vs consulting: augmentation puts engineers under your manager, consulting under theirs. Which model fits your team, and when each one wins.
In July 2025, Python did something no programming language had done in the 24-year history of the TIOBE Index: it crossed 26.98% market share. It shattered the previous record held by Java since June 2001 at 26.49%, with a lead over its nearest competitor of roughly 17 percentage points, the largest gap ever recorded. As…
Three-quarters of CFOs are raising their technology budgets for 2026, with nearly half increasing spend by 10% or more, according to Gartner. The days of AI in finance being confined to a sandbox pilot are over. The mandate has shifted from “should we build this” to “why hasn’t this shipped yet.” The gap between organizations…
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.