Leaving Wachtell wasn't an easy decision - it's one of the great law firms in the world, and I learned an enormous amount there. But it wasn't about leaving something behind; it was about being intentional about what came next.
Social anxiety and depression had other plans, leaving me in an ugly cycle of self-isolation and rumination. Terrified of rejection, I'd meet someone interesting during one of my English lectures and invite them out for frozen yogurt in my head.
I was like, 'What do you mean, I can actually work and take some classes?' I didn't even know there were apprenticeships out there, because I thought it was something of the past. That was my dream-to go into some field of engineering-so it was great to find something like AT&T, which has an apprenticeship program where you can jump into it, which later becomes software engineering.
This week, meet a reader we'll Regomize as "Curt" who once worked as IT security manager at a company where the helpdesk manager routinely ignored company policy by not logging out of his PC. The machine sat there ready for use, instead of reverting to a password-protected screensaver that could only be dispelled by pressing Ctrl-Alt-Del to spawn a login dialog.
limetax is an AI enabled roll up in the accounting space, transforming how CFO and tax services are delivered to German SMEs. We acquire profitable tax firms and scale them with an AI powered operating platform, driving step changes in productivity and service quality. The team previously built a roll up to unicorn valuation, executing over 100 M&A transactions and scaling to 500 employees.
How can you drive value through this technology? Does deployment mean you need to look at your processes and business model? What is AI going to cost? What benefits will you create? How do you make sure you're making the right choices and decisions?
Engineers who love building, mentoring, and solving complex problems don't need to manage people to keep growing. You can lead through influence instead. Technical mastery once guaranteed advancement. For engineers, data scientists, designers, and other experts, the career ladder used to be clear: learn deeply, deliver reliably, and get promoted. But at some point, progress begins to feel less like learning new tools and more like learning new ways to influence.