SERVICE / AI & DEEP TECH LEADERSHIP SEARCH
AI & deep tech leadership: judge the technology route, and the ability to deliver
Hiring technical leaders is hard because a technical CV rarely shows what a person achieved in business terms. We define success across three dimensions: technology direction, team building and business delivery.
- Roles: CTO / CIO / Head of AI / Algorithm & hardware leads
- For: AI, robotics, embodied AI, semiconductors and smart hardware
- Offices: Shanghai, Shenzhen and across China
Three recurring problems in technical leadership search
- Records are hard to verify: two people can both write "led the machine learning platform", while one ran it and the other built it from zero.
- Technology route does not match company stage: a mature company needs engineering discipline and cost control; an early-stage company needs exploration and fast validation.
- Management scope is undefined: whether the technical leader also owns product, delivery or customer success is often not agreed before hiring.
What success means for a CTO or CIO
| Success criteria | Evidence to verify | A common misjudgement |
|---|---|---|
| Technology direction | Where they chose a route, what they traded off, what happened | Matching keywords on a technology stack |
| Team building | How the team grew, how they hired and coached, why people left | Headcount only |
| Business delivery | How a technical decision turned into a business result | Treating a technical solution as a business result |
| Organisational collaboration | How they worked with product, business and supply chain | Ignoring the authority the role actually had |
A CIO or CTO in the AI era also needs to understand data governance, the limits of AI applications and vendor management. Our interviews are designed to verify real experience in these areas.
What we deliver
- Job Portrait covering technology route, team boundary and delivery criteria
- Technical talent mapping across target companies and engineering organisations
- Experience verification of technical role, decision rights and project contribution
- Structured interviews on technical judgement, team building and business results
- Appointment advice on route fit, organisational readiness and risk
Typical situations
No head of AI in place
The company has committed to an AI direction but lacks someone who can turn technology into business value.
Engineering team scaling
Growing from 10 to 50+ engineers requires management and engineering discipline.
Business digitisation
Manufacturing, chain retail and consumer companies need a CIO who can connect business and information systems.
Global technical organisation
Overseas expansion needs a technical leader who can work with teams in other markets.
AI assists, the consultant still decides
We use the candidate relationship graph to connect scattered CVs, organisational context and experience evidence, so consultants can see the links and what still needs verifying. The graph provides context and leads; it does not by itself prove capability or results. Key judgements are confirmed by the consultant and the client. See the relationship graph
Related cases and reading
- Case: CIO search for a retail chain
- How CTOs and CIOs turn technical capability into business results
- Three blind spots in AI-era recruiting centres of excellence
Frequently asked questions
How do CTO and technical lead roles differ?
A CTO owns the technology route and its long-term evolution; a technical lead (for example head of R&D or head of architecture) owns delivery. Before hiring, agree whether the role carries route decisions, organisation building or delivery management, and set requirements accordingly.
How should a company with no AI team hire its first head of AI?
Define one or two concrete business problems AI should solve and how success will be measured, then set the Talent Portrait around that. Otherwise it is easy to hire strong technical capability that does not connect to the business.