How to Become a
Staff AI Engineer

The level where you shape organizational direction.
Staff AI Engineers define technical strategy and earn $300K-$500K+ at top companies.

AI Native Engineer Community Access

Senior Engineer Plateau?
Ready for Staff-Level Impact?

The jump from senior to staff is the hardest. It's less about being 2x better and more about a fundamentally different scope.

Staff engineers influence entire organizations, not just their team. This requires skills that aren't taught in engineering programs.

The compensation jump is massive ($100K-$200K+), but fewer than 5% of engineers reach this level.

The Staff Engineer Trajectory

The AI Career Accelerator

Staff engineers have organizational impact. They don't just solve problems—they identify which problems are worth solving. Here's the path.

1

Expand Your Scope

Influence beyond your team—across multiple teams or org-wide

2

Lead Strategic Initiatives

Drive multi-quarter projects that shape technical direction

3

Build Organizational Leverage

Create frameworks, standards, and patterns others adopt

4

Develop Executive Presence

Communicate with leadership, influence strategy, drive decisions

Meet Your Mentor

Zen van Riel

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.

Career progression from Intern to Senior Engineer

Real Results

Vittor

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.

Limited Availability

Staff AI Engineers Are Rare. The Comp Jump Is $100K-$200K+ Over Senior.

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.

$120K+
Average AI Engineer Salary
Source: levels.fyi
90 Days
To Guaranteed Interviews
20%+
Higher Pay Than Traditional Devs

Frequently Asked Questions

What does a Staff AI Engineer do?

Staff engineers operate at organizational scope. You identify the most important technical problems, design solutions that work across teams, and influence direction without direct authority. Day-to-day: leading cross-team initiatives, designing company-wide AI architecture, mentoring senior engineers, writing technical strategy documents, presenting to executives, reviewing critical designs, and setting technical standards. You're a force multiplier for the entire engineering org, not just your team.

What's the difference between senior and staff?

Senior: owns systems within a team, makes tactical decisions, mentors juniors. Staff: influences across teams or the entire org, makes strategic decisions, mentors seniors. The scope jump is the key—staff engineers have impact beyond their direct work. Senior engineers are trusted to execute well. Staff engineers are trusted to decide what should be executed. It's the shift from excellent doer to organizational leader.

What skills are needed at staff level?

Technical: breadth across AI domains plus depth in specialty, system design at scale, technical strategy development. Leadership: influencing without authority, building consensus, navigating organizational politics. Communication: writing persuasive documents, presenting to executives, mentoring seniors. Strategic thinking: identifying high-impact opportunities, prioritizing ruthlessly, seeing around corners. Staff is where soft skills become as important as technical skills.

How long does it take to reach staff level?

Typical: 8-12 years total experience, 4-6 years in AI. Fast track: 6-8 years for exceptional performers with significant impact. Many engineers never reach staff—it's not an inevitable progression. What matters more than time: track record of increasing scope, demonstrated organizational impact, ability to influence beyond your team. Time is necessary but not sufficient.

What compensation can staff engineers expect?

Staff AI Engineer at mid-size companies: $250K-$350K total comp. Staff at FAANG/top AI companies: $400K-$550K+ total comp. The jump from senior is typically $100K-$200K. Staff is where equity becomes a major component—often 40-60% of total comp at big tech. Independent AI consultants at staff equivalent level charge $350-$600/hour.

How do I actually reach staff level?

Demonstrate staff behaviors at senior level: lead cross-team initiatives, write strategy docs, mentor seniors, influence beyond your team. Build a compelling narrative: 'Here's how I've had organizational impact.' Find executive sponsors who can advocate for you. Be strategic about projects—not all work creates staff-level visibility. If your company has limited staff roles, you may need to switch companies. Many engineers get the title by interviewing elsewhere after demonstrating staff impact.

What experience is required for staff level?

Track record of senior-level performance for 3-5 years. Leadership on cross-team initiatives with measurable impact. Demonstrated ability to influence engineers outside your team. Experience presenting to and influencing leadership. History of developing senior engineers (not just juniors). A narrative of increasing scope over time.

How should I develop toward staff level?

Shift focus to organizational impact. Seek high-visibility strategic projects. Volunteer to lead cross-team initiatives. Write technical strategy documents. Present to leadership. Mentor senior engineers. Build relationships across the org. Staff level is as much about relationships and influence as technical skill. Your network and reputation become career assets.

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