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about
A recruiting partner built for AI-native companies, by someone who speaks model training, evals, and production ML fluently. No job board. No spray-and-pray outbound.
The self-serve job board era taught us one thing clearly: distribution without technical judgment does not help AI teams hire. LinkedIn scales noise. Internal teams do not have a hundred spare hours to source and cold-email senior ML talent. Boards still want the hire yesterday.
[My background: add your years in industry, prior companies, and technical focus here.] [Specific experience: papers, shipped systems, teams led, or domains you own.] The through-line is simple. I got tired of recruiters who could not read a loss curve and candidates who got mis-leveled because keyword matching broke down.
datajobs.ai exists to be the recruiting partner I would have wanted on the other side of the table. Direct on fees. Honest on timelines. Technically literate in outreach and vetting. If we take your search, we actually work it.
The best ML engineers are not waiting in your ATS. They are shipping side projects, publishing, and contributing tools. We meet them there with outreach that respects their time and references their real work.
When fees are public, the first call is about the search, not procurement theater. If we are the wrong fit, you learn quickly. If we are the right fit, legal moves faster because the economics are already aligned.
A short list of five vetted candidates beats a hundred random resumes. Your staff engineers return to building sooner, and candidates experience a firm that represents your brand with technical seriousness.
We are not a job board, not a staffing agency filling hourly benches, not a generalist recruiter running keyword searches across unrelated stacks, and not a take-home exam vendor. We are a focused search practice for AI and ML leadership and senior IC roles inside product companies. If your problem is outside that boundary, we will tell you early and point you to a better fit.