Hire Head of AI leadership without a six-month fishing expedition
A Head of AI or VP ML is not a super-senior IC with a bigger salary. The role is a systems problem across hiring plans, technical strategy, vendor and compute decisions, risk posture, and how the executive team tells the AI story to the board and customers. That scope is why credible searches are usually retained: you need dedicated time for market mapping, confidential outreach, and calibration sessions that do not collapse every time a product launch steals the calendar.
Retained search is also honest economics. Executive candidates expect discretion, longer courting timelines, and a partner who will represent the company with technical fluency. A contingency-only model rarely funds the depth required to reach closed candidates and run the back-channel reference discipline you actually want at this level.
What hire Head of AI really means in 2026 startups
Boards often ask for AI leadership yesterday while the definition of the role is still moving. Sometimes you need a player-coach who still codes critical paths. Sometimes you need an org builder who will hire ten strong ICs in four quarters. Sometimes you need a public voice for customers on model governance. Those are different profiles with different compensation realities, often in the four hundred to seven hundred thousand dollar base range and above, before equity.
A serious process makes those tradeoffs explicit before outreach begins. Otherwise you interview a split panel, get mixed signals, and lose strong candidates to firms that present a clearer mandate. We start with a written brief: scope, success metrics for twelve months, budget reality, and the failure modes you refuse to accept.
Retained executive search fees and milestones
At datajobs.ai, Tier four covers Head of AI, VP ML, and Director-level AI leadership roles under a retained model starting at one hundred thousand dollars total, paid in three installments tied to milestones such as kickoff, shortlist delivery, and acceptance or start, depending on what we agree in writing. This is different from contingency IC search. You are buying dedicated coverage, mapping, and a partner who will say no to bad fits early.
If you want comparables, read the full Pricing page for Tier one through Tier three IC brackets. Those remain contingency for successful placement. Executive search is retained because the work happens regardless of whether the first closing attempt succeeds, and because the candidate pool requires a different tempo and confidentiality posture.
How we evaluate executive AI candidates technically
Executive fluency still has to connect to ground truth. We validate that candidates can discuss architecture tradeoffs, hiring bar, evaluation philosophy, and how they run incident-style decisions when models misbehave in production. We are not impressed by buzzword decks. We want receipts: what they built, what they shipped, what they refused to ship, and how they measured outcomes.
- We map where leadership depth actually came from: team scale, domain risk, budget ownership, and stakeholder complexity.
- We protect your brand in outreach because executive candidates talk to each other.
- We keep your internal narrative consistent so candidates are not hearing mixed stories from different interviewers.
When to book an intro for Head of AI search
Book when the mandate is real: budget aligned, executive sponsorship identified, and a willingness to move fast once the right person appears. If you are still arguing whether AI should report into product or engineering, solve that first. If you are ready, start with Schedule Intro Call and read how we operate on How It Works and For Companies.