Hiring for AI and Data roles shouldn’t feel this difficult. But for many companies, it still does.
If you’re a hiring manager trying to build a high-performing AI or Data team, you’ve likely experienced the frustration firsthand. The process is slow, inconsistent, and filled with disconnects that make finding the right talent harder than it needs to be. SUD Recruiting was built to fix that.
The Problem I Kept Seeing
Before starting this firm, I spent years working inside Data and Analytics teams at companies like Citi and eBay. From the inside, I had a clear view of how hiring actually played out, not just on paper, but in practice.
And what I kept seeing was the same pattern.
Hiring managers struggling to find candidates who truly matched the role. Strong candidates getting filtered out too early by recruiters who didn’t understand the technical requirements. Searches dragging on for months because the person leading them couldn’t tell the difference between a Data Scientist and a Data Engineer.
But technical skill was only part of the problem. Some of the most qualified candidates on paper never worked out because nobody asked the right questions about fit. Could this person collaborate with business stakeholders who don’t speak the language of data? Could they translate complex findings into something a finance or strategy team could actually act on? Those questions matter just as much as the technical ones.
It wasn’t just a talent problem. It was a translation problem, on both sides.
The Gap Nobody Was Talking About
There is a critical gap in the recruiting process when the people responsible for filling roles don’t fully understand what those roles actually require. AI and Data are not generic fields. They demand nuance, context, and technical fluency. Without that foundation, even the most structured recruiting process will fall short.
What makes it even more complex is that many technical roles today don’t exist in a silo. Data Scientists present findings to executives. Analytics leads collaborate with product and strategy teams. Machine Learning engineers work alongside business partners who have never written a line of code. The right candidate needs to bring both the technical depth and the communication skills to bridge those worlds.
And that gap has real consequences. Missed opportunities with top candidates. Longer hiring cycles. Teams built on technical capability alone, without the cultural alignment and cross-functional communication skills that make those teams truly effective.
Building the Firm I Wished Existed
That frustration is what led me to start SUD Recruiting. I didn’t want to build just another recruiting agency. I wanted to build the kind of partner I wished existed when I was on the other side of the table.
At SUD Recruiting, we speak the language of Data and AI. We understand role distinctions at a technical level. We know the talent pool because we’ve worked in it. But we also take the time to understand your culture, your team dynamics, and the non-technical partners your new hire will need to work with every day. That combination allows us to move faster, filter smarter, and deliver candidates who are the right fit technically and culturally.
A Different Kind of Recruiting Partner
We believe recruiting works best when it’s built on understanding, not guesswork. When you don’t have to over-explain what you’re looking for. When your recruiting partner already knows the difference between good on paper and right for the role. When the process accounts for not just what a candidate can do, but how they work, how they communicate, and whether they will thrive in your specific environment.
That’s when hiring starts to work the way it should.
Why We Exist
SUD Recruiting exists to close the gap between technical teams and the hiring process. Because building a strong AI or Data team isn’t just about finding someone with the right skills. It’s about finding someone who brings those skills to life within your culture, connects with your business partners, and contributes to the bigger picture.
That’s the standard we hold ourselves to on every search.