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.
The pressure to ship software faster has never been greater. US companies are navigating product backlogs, legacy modernization projects, and the constant demand for new digital capabilities, all while competing for a limited pool of engineering talent. In this environment, choosing between low-code platforms and custom software development is one of the most consequential decisions…
If you’re weighing how to scale your team without overcommitting headcount or slowing down delivery, developer staff augmentation has probably come up more than once. At a glance, it sounds straightforward: bring in external talent to fill specific gaps. In practice, though, the decision is more nuanced. Staff augmentation sits somewhere between traditional hiring and…
There is no shortage of listicles telling you which software engineering metrics to track. Most of them are built around the same framework: deploy a dashboard, pull in your GitHub and Jira data, and watch the numbers move. That is fine advice if your team sits in the same office, ships under the same conditions,…
Nearshore staff augmentation adds Latin American engineers to your US team, in your time zone. How it works, what it costs, and how to choose a provider.
Enterprise leaders have a new pressure point. It is no longer about whether to adopt AI, that conversation is over. Today, enterprise leaders are focused on production-grade implementation, security, and long-term return on investment. Tech executives are facing a critical architectural and financial crossroads: Should you partner with top AI companies and agencies, or should…
In the pursuit of scaling an engineering team, the primary bottleneck is rarely the talent’s ability to write code, it is almost always the friction inherent in moving that code from a local environment to production. For a CTO managing a distributed workforce, this friction is amplified by geographical dispersion and the “hidden tax” of…
The “gig economy” was marketed as the ultimate expression of professional freedom:A world where software engineers could hop from project to project, collecting languages like badges and invoices like trophies. The shine of the freelance hustle is wearing thin. Both the builders, the developers and the architects (the founders and CTOs) are realizing that the…
For years, the conversation around “working from anywhere” was lumped into a single, monolithic category. But as we move further into the decade, the distinction between a casual freelance assignment and a professional career path has become a chasm. The debate around gig work vs full time work often gets framed from the talent’s perspective,…
Every team building with LLMs hits the same fork in the road eventually: should we use RAG, fine-tune the model, or build an agent? The three options are frequently discussed as if they’re interchangeable, but they solve fundamentally different problems. Picking the wrong one doesn’t just add cost, it creates architectural debt that’s painful to…
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.