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.
Revenue Operations (RevOps) is no longer just a buzzword—it’s becoming the backbone of modern SaaS and tech growth. By breaking down silos between sales, marketing, and customer success, RevOps creates one engine that drives predictable and scalable revenue. And here’s the kicker: by 2026, 75% of the fastest-growing companies will run on RevOps. That’s huge.
According to PwC, over 70% of executives believe AI will significantly reshape their business in the next three years. Yet only about one in five organizations has a comprehensive responsible-AI policy in place. That gap isn’t academic—it’s expensive. We’ve all seen the headlines: biased hiring models quietly sidelining women; underwriting algorithms triggering class-action lawsuits; deepfake…
Pre-vetted developers are engineers whose technical skills, English and work habits have been tested before a company ever sees their profile. When a hiring platform calls its developers “vetted,” it should mean you skip the first rounds of screening and start with candidates who already passed a real technical interview. The problem is that “vetted”…
A year ago I wrote that by 2026 engineers would stop “calling an API” and start orchestrating AI systems. That happened faster than I expected. In most of the teams I talk to, engineers no longer write most of their code by hand. They direct agents, review what comes back and…
I’m Damian Wasserman, co-founder at BEON.tech. I wrote this as part of my ongoing exploration into how AI is transforming software engineering. Through these posts, I aim to share practical takeaways to help our 150+ BEONers — and the broader developer community — stay at the forefront of this new era of AI-augmented engineering because…
Latin America has rapidly emerged as a leading nearshore destination for software outsourcing. The region combines world-class technical talent and education with significantly lower costs than in the US or Europe. Choosing to hire software developers in Latin America allows businesses to tap into a thriving talent pool of skilled professionals, while also benefiting from…
AI is everywhere, and executives are under pressure to deliver real results with it. But building AI-powered products isn’t about hiring the trendiest new role or throwing people at the problem — it’s about assembling the right engineering team. In this post, we’ll walk you through the AI engineer tech stack that actually delivers value…
It’s no secret that AI tools are reshaping how developers work. From automating boilerplate code to boosting daily productivity, artificial intelligence has evolved from a sidekick to a co-pilot — and in many cases, the pilot itself. The adoption of these tools is rapidly becoming the norm, with usage rates ranging from 70% to 82%…
Code-generating large language models (LLMs) are transforming software development. By automating repetitive coding tasks, assisting with debugging, and even generating functional code from simple prompts, these models allow development teams to work faster, more efficiently, and with greater focus on complex challenges. As businesses increasingly adopt AI-powered tools to streamline operations and reduce development cycles,…
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.