AI Engineer to
Management Track
Lead through people, not just code.
Engineering Managers in AI earn $180K-$350K+ while shaping teams and products.
AI Native Engineer Community Access
Wondering If Management
Is Right for You?
You're a strong IC but wonder if management could be more impactful—or more lucrative. But you're not sure if you'd actually enjoy it.
You've heard horror stories about engineering managers who miss coding, hate meetings, and burn out. Is that inevitable?
The IC to management transition is hard to reverse. You want to understand what you're signing up for before making the leap.
The AI Engineering Management Path
The AI Career Accelerator
Moving to management is a career change, not a promotion. Here's how to evaluate, prepare for, and execute the transition successfully.
Evaluate Your Motivations
Understand why you want management and whether it aligns with your strengths
Build Leadership Skills
Develop people skills, communication, and organizational awareness while IC
Get Management Experience
Lead projects, mentor juniors, take on people leadership opportunities
Make the Transition
Move into management role, focus on team success over personal output
Meet Your Mentor
When I started in tech, I was based in the Netherlands with no connections and only thousands of video game hours under my belt. Not exactly the ideal starting point.
My first tech job was software tester. One of the most junior roles you can start with. I was just happy someone took a chance on me.
I kept learning. Kept pivoting. But what actually accelerated my career wasn't more certifications or more code. It was learning to solve problems that matter and proving beyond a doubt that what I built solved real problems. That's the skill that stays future-proof, even with AI.
I've since worked remotely for international software companies throughout my career. Proof that the high-paid remote path is possible for anyone with the right skills and motivation. In the end, I went from a $500/month internship to 6 figures as a Senior AI Engineer at GitHub.
Now I teach over 22,000 engineers on YouTube. Becoming an AI-Native Engineer is a system I lived through and offer to you today.
Real Results
Vittor
AI Engineer
Landed his first AI Engineering role in 3 months
"The coaching played a huge part in my success. I focused on AI fundamentals, the certification path, and soft skills like professional writing. Having access to expert guidance gave me confidence during interviews and helped me feel I was on the right path.
I built my own platform (simple but functional) and deployed it on AWS. I used it in my portfolio and showcased it during interviews. The way complex topics were explained, especially the restaurant analogy for AI systems, really stuck with me. Focusing on doing the basics well was absolutely essential."
What You Will Get
Personalized Roadmap & Career Strategy
A custom plan tailored to your background, goals, and timeline. No generic advice.
Weekly 1:1 Coaching Calls
Direct access to Zen for guidance, project feedback, and answers to your questions.
Portfolio-Ready AI Projects
Build production-grade AI applications to showcase to employers. Work that gets you hired.
Interview Prep & Mock Interviews
Practice technical and behavioral interviews. Learn what hiring managers look for.
Resume & LinkedIn Optimization
Transform your online presence to attract recruiters. Stand out from other applicants.
Community Career Support
Join the AI Native Engineer community. Not seeing results yet? You stay and keep going. We're with you through the ups and downs.
Good AI Engineering Managers Are Rare. They Understand Both the Tech and the People.
Every month you delay can cost you thousands in lost earning potential. While you're watching tutorials, others are landing $120K+ AI Engineering roles.
I can only work with a limited number of 1:1 clients at a time to ensure you get the personalized attention you deserve.
Frequently Asked Questions
What do AI Engineering Managers actually do?
Engineering Managers are responsible for team outcomes, not personal output. Daily work: 1:1s with reports, hiring and interviewing, performance reviews, project planning, cross-team coordination, removing blockers, representing team to leadership. You spend 50-80% of time in meetings. Your success is measured by team delivery, retention, and growth—not your personal technical contributions. You're accountable for what your team ships, not what you personally build.
How does being a manager differ from being an IC?
As IC: your output is direct (code, designs, systems). As manager: your output is through others. ICs get satisfaction from building things; managers get satisfaction from helping others build things. Managers have less control over their time (meetings, interruptions). ICs can go deep; managers context-switch constantly. Managers deal with ambiguity and politics more. The transition often feels like starting over—your technical skills matter less than your people skills.
What skills do I need to become an Engineering Manager?
People skills: giving feedback, difficult conversations, understanding motivation, building trust. Communication: presenting to leadership, writing clearly, facilitating meetings. Organizational: prioritization, planning, cross-team coordination, navigating company politics. Technical: enough to evaluate work and earn respect, but not to do the work yourself. Emotional: handling ambiguity, stress, and being responsible for others' careers. Most engineers underestimate how different these skills are from IC work.
How does management compensation compare to IC?
Entry-level EM (managing 3-6 people): $150K-$200K. Mid-level EM (7-12 people): $180K-$250K. Senior/Director (multiple teams): $220K-$350K. VP/Executive: $300K-$600K+. Comparison: At junior/mid levels, IC and management pay is similar. At senior levels, Staff+ IC can match or exceed EM pay. At executive levels, management typically pays more. Don't choose management for money—at most levels, the best ICs earn as much as managers.
Can I go back to IC if management doesn't work out?
Yes, but it's harder than people think. Your technical skills atrophy after 2-3 years in management. You may need to accept a lower IC level than you'd expect. Some companies have formal paths (Manager to Staff IC) but they're not always easy. The longer you're in management, the harder the return. If you're not sure, try being a Tech Lead first—leadership with continued technical work. Going back after 6-12 months is much easier than after 5 years.
How do I start the transition to management?
While still IC: mentor junior engineers, lead projects, volunteer for hiring/interviewing, facilitate team meetings. Ask for feedback on leadership skills. Have honest conversations with your manager about management interest. Try tech lead role first if available—it combines leadership with IC work. When ready: apply for EM roles internally or externally. Internal transitions are easier because people know you. Expect to feel incompetent for the first 6-12 months—that's normal.
How much IC experience do I need before becoming a manager?
Minimum realistic: 4-5 years as an engineer, with at least 1-2 years at senior level. Sweet spot: 6-8 years including project leadership experience. Technical credibility matters—your team needs to trust your judgment. But don't wait too long—management skills are different and need time to develop. The best managers usually had strong IC careers but transitioned before becoming deeply specialized in a technical niche.
How long does the transition to management take?
Building leadership skills as IC: 12-18 months of deliberate practice. Getting first management role: 3-12 months depending on opportunities. Becoming competent as new manager: 6-12 months of learning. Becoming good: 2-3 years of practice. The transition is a career change—expect it to feel hard. Most new managers feel imposter syndrome for the first year. If you're not enjoying it after 12-18 months, it might not be for you.
What if I don't land interviews in 90 days?
You become a member of the AI Native Engineer community, and you stay and keep going. Career transitions take different amounts of time for everyone, and I'm not going to abandon you if things take longer. You get ongoing support through good times and bad.
How is this different from online courses?
Online courses give you content. 1:1 coaching gives you a personalized roadmap, direct feedback on your work, career strategy, interview prep, and accountability. You get answers to your specific questions and guidance tailored to your unique situation instead of generic advice meant for everyone.
What's the investment for 1:1 coaching?
Investment details are discussed during the 30-minute strategy call, where we'll assess your goals and create a custom plan. The program is designed to pay for itself quickly through your increased salary. Most AI engineers see a 20-50% pay increase.
Can I do this while working full-time?
Absolutely. Most of my clients work full-time and make steady progress. We'll schedule calls at times that work for you and create a realistic plan that fits your schedule. Consistency matters more than intensity.
Ready to Land Your AI Role?
Stop watching others succeed. Start building your AI career today.
30-minute strategy call • Limited spots available