[Workshop Invite] Land $200K+ Data Jobs with A FAANG-level Resume
Learn my framework that lands interviews at Meta, Microsoft and Amazon
I’m hosting a live workshop to show you how to build a FAANG-level data resume that actually gets interviews and leads to $200K+ roles.
Here’s the uncomfortable truth.
You don’t get hired for what you know.
You get hired for what you can show.
That lesson became obvious after reviewing hundreds of data resumes and helping candidates land interviews between 2025 and 2026 at companies like:
Meta
Microsoft
Amazon
Spotify
Capital One
Doordash
Dataiku
Monzo
Trainline
…and more.
Most data resumes fail for one simple reason.
They list tasks instead of proving impact.
So recruiters skim for 3 seconds and move on.
That’s exactly why I’m running this session:
Build a FAANG-level data resume that actually lands interviews (2026 edition)
In this workshop, I’ll break down the same resume system I use with clients to move their resumes from the discard pile into interview loops, without mass applying or guessing.
We’ll cover:
How recruiters actually pick resumes from the pile of 1000+
The exact bullet formula that signals seniority, impact, and technical depth
How to quantify your work even if you didn’t own revenue or cost directly
The real difference between sounding junior vs senior on paper
Why project sections often hurt more than they help
The silent resume killers that cost you interviews
How to build a targeted skills section without keyword-stuffing yourself to death
And more…
It’s not just theory.
It’s the framework behind real interviews at top companies.
📅 January 29th, 2026
🕚 11 AM EST | 4 PM GMT
🎥 Recording included if you can’t make it live
Sign up here
If you register before Thursday, January 22, you’ll also receive a one-day bonus:
my FAANG data resume template.
Not targeting FAANG? That’s fine.
These principles apply to any competitive role.
If your resume keeps getting ignored and you’re tired of guessing what’s wrong, this is how you fix it.
Let's land you offers your resume is costing you.
P.S. Paid Substack members get 20% off with code:
