AI.
Heads of AI, VP Machine Learning, Directors of Applied Research, Principal AI/ML Engineers. Recruiters who can credibly engage senior AI candidates.
Senior AI talent moves on conviction, not on listings.
The Head of AI you actually want is not on a job board. They are deciding between two competing offers from operators they already know. The recruiter has to be able to make a credible case in technical specifics: the data, the model, the deployment, the autonomy, and the scientific roadmap.
Engaged search funds that depth. The recruiter assigned has experience placing AI leadership across both AI-native companies and traditional enterprises that are building their first AI organization. Outreach is targeted, technical, and discreet.
We work AI-native companies (foundation models, AI products, AI infrastructure), enterprises building their first AI org, AI-applying SaaS, and AI-research-adjacent operators (academia/industry hybrids).
Where the search lives.
Senior leadership and niche-headhunter roles. The recruiter assigned to your search has spent a decade in this segment.
- Heads of AI
- VP Machine Learning
- Chief AI Officers
- Heads of Applied AI
- Directors of Applied Research
- VP Research
- Heads of Foundational ML
- Principal AI/ML Engineers
- Distinguished Engineers
- Senior Staff ML Engineers
- VP AI Product
- Heads of AI Platform
- Heads of MLOps
- Directors of AI Infrastructure
AI,
specifically.
The questions hiring operators send in the first call.
Three paths from here.
You're hiring a Head of AI or VP ML Engineering.
Engaged search fits, the candidate pool is small, mostly passive, and concentrated in 4-5 metros plus remote. We map the pool in five days. Start the scoping call →
You're scoping the role and unsure whether to hire research-led or applied-led.
Read the AI in Executive Search post for the working-session framework, it surfaces which type of leader fits your product surface. Read the AI search framework →
You're benchmarking AI engineering comp before the offer.
Send us the candidate's prior employer and current band. We come back with a peer-firm comp read inside one business day. Email the read request →
Tell us the model, the team, the role.
We come back inside one business day with a scoping call, a fee quote, and a market read on candidate availability.