CTO Executive Search Firms for AI Companies: Who Fits Which Search
Which CTO search firms fit an AI company? This article compares nine firms by AI coverage, client stage and engagement model, and says when a firm is the wrong fit.

- CTO candidates are usually sitting executives. In a sample of more than 700 CTOs in our network, 59% held a VP or C-suite title in the role before their current one, and 47% have worked for seven or more employers.
- Hands-on AI depth is not a given at this level. Only 41% of CTOs in our network sample name generative AI tools on their resume, so ask any firm how it tests for that depth.
- Shortlist by AI coverage and client stage first. Some firms run named AI practices, some focus on venture- or PE-backed companies, and large generalists run technology officer functions.
- If you need a CTO and a first AI leader together, favor a firm whose own pages cover both roles.
What does a CTO executive search firm do differently?
A CTO executive search firm runs a targeted search for a sitting senior technology leader, not a broad job-board pipeline. In a sample of more than 700 CTOs in our network, 59% held a VP or C-suite title in the role before their current one. Among those at C-suite level, the figure was 60%. Most of the work is reaching people who already hold that level of job.
A general tech recruiter fills roles from people who are applying. Many CTO candidates are experienced executives who have moved between employers several times. In our sample, 47% have worked for seven or more distinct employers, and so have 48% of the C-suite group.
These people do change jobs. The firm usually has to find them, though, rather than wait for them to apply. A CTO search depends on a firm's ability to find, approach and assess passive senior people, and then to persuade them.
That is the service you are paying for. A firm with a good list of active applicants is not much use for this role. A firm that knows who has built what, and who might be ready to move, is. At an AI company, "who has built what" is where firms differ most.
What should CTO executive search firms understand about AI?
A firm placing a CTO at an AI company should be able to tell a leader who has built with AI from one who only talks about it. That test sits on top of the basics. Judge firms on five criteria:
- Technology leadership focus: the firm concentrates on technology leadership searches.
- AI coverage: it has a named AI, machine learning or data practice, or it covers AI leadership roles.
- Stage coverage: it covers your company's stage, whether venture-backed, PE-backed or enterprise.
- Engagement model: it states how it works, whether by retained search, fractional or interim.
- Geography: it covers the US and Canada.
We checked each firm against its own website.
AI depth is the hardest of these to judge. Only 41% of CTOs in our network sample name hands-on generative AI tools on their resume, such as OpenAI, Claude, LangChain and similar. Among C-suite CTOs, the figure is 43%. C-suite resumes in our network often emphasize "understanding how models, data and systems fit together." Many candidates describe AI fluency in terms of systems and strategy rather than hands-on building.
Business ownership is the second gap. Across our sample, 73% of CTOs have owned a budget. Among those who have spent most of their career in the Technology sector, the figure falls to 62%. A strong engineer from a technology company may never have run a P&L line or defended a budget to a board.
These gaps matter because the hard part of AI is rarely the model. In Aptean's 2026 survey, 82% say integrating AI with core systems is more difficult than the AI technology itself.1 A CTO at an AI company has to own that integration work and the spending behind it.
Many candidates have AI depth or business ownership, but not both. A firm has to test for each. Ask every firm on your shortlist how it does.
How do the CTO executive search firms compare?
The firms on this list fall into three groups: technology or AI specialists, firms focused on venture or private equity clients, and large global generalists with a technology officers practice. The table below shows each firm's focus, AI coverage, client stage and model as stated on its own site.
| Firm | Focus | AI coverage | Client stage | Model |
|---|---|---|---|---|
| Axial Search | AI, ML and data leadership | Core specialism | Not stated | Search, fractional, specialist recruitment |
| Riviera Partners | Technology leadership only | Named AI, ML, Data practice | Early-stage to enterprise | Not stated |
| Heidrick & Struggles | Global; AI & Technology Officers | AI & Data practice | Not stated | Retained, senior focus |
| True Search | AI industry; product, data, tech | AI industry practice | Venture and PE | Search plus fractional, interim |
| Heller Search Associates | Technology leadership specialist | Lists Chief AI Officer | PE portfolio roles | Not stated |
| Stanton Chase | Generalist; Technology Executives | Defines CAIO role | Series A to D, PE-owned | Not stated |
| Cowen Partners | CIO, CTO, CISO function | No distinct AI practice | PE-backed, founder-led, Fortune 500 | Retained, senior-partner-led |
| Korn Ferry | Global; technology officers | AI & ML area under data | Not stated | Search plus assessment, succession |
| DHR Global | Generalist; CIO/CTO practice | AI/ML in data practice | Not stated | Not stated |
Most of the difference sits in two columns: AI coverage and client stage. Shortlist on those first, then use the model column to rule firms in or out. "Not stated" means the firm's own page does not say, not that the firm lacks the capability. Ask about it directly.
Which CTO executive search firms work with AI companies?
All nine firms on this list place CTOs and show some AI, venture or technology-leadership coverage on their own sites. Each fits a different kind of search. Every entry below draws only on what the firm publishes about itself.
1. Axial Search
Axial Search specializes in AI, machine learning and data leadership. It offers executive search, fractional AI leaders and specialist recruitment in the US and Canada. It also publishes hiring and salary analysis drawn from its own candidate network and from the AI job postings it tracks. Its overview of executive search for AI leadership roles sets out how it runs these searches.
Best for: CTO searches at companies where AI is central to the product or the plan.
Not the right fit for: Companies hiring outside the US and Canada, or those needing a high-volume contract staffing shop.
2. Riviera Partners
Riviera Partners describes itself as a technology-focused search firm that places leaders in product, engineering, IT, AI/ML/data, security and design. Its named AI, ML and Data practice, whose head it announced on its own site, draws on its Emerging, Growth, Private Equity and Enterprise practices. The firm cites a presence in 120+ cities and 20+ countries.
Best for: Technology-only searches backed by a named AI, ML and Data practice and stage-based practices from early-stage to enterprise.
Not the right fit for: Buyers wanting a general C-suite firm or a stated retained model, since its page offers neither.
3. Heidrick & Struggles
Heidrick & Struggles, based in Chicago, runs an "AI & Technology Officers" search page. That page lists Chief AI Officer, Chief Data & AI Officer, Chief Data Officer and Head of AI alongside CTO and CIO. The firm also lists AI-native roles such as Head of Agentic AI. Its AI & Data practice is led globally from San Francisco.
Best for: Companies that need a first CTO and a first AI leader, since the same AI & Technology Officers practice searches both.
Not the right fit for: Venture-backed companies looking for a firm that calls out their stage, which its page does not do. It is a large global firm with a retained, senior focus.
4. True Search
True Search, headquartered in Philadelphia, lists Artificial Intelligence as an industry and Product, Data & Technology as a function. Its hubs include San Francisco, New York, Boston and London. It runs a venture-focused practice, True Venture Studios, focuses on PE/VC clients and offers fractional and interim executives.
Best for: Venture- and PE-backed companies that want an AI industry practice and the option of fractional or interim executives.
Not the right fit for: Buyers who want a pure search firm that names CTO explicitly.
5. Heller Search Associates
Heller Search Associates' tech executive expertise page lists CTO, Chief AI Officer, CIO, CISO and CPO, plus Operating Partner IT and portfolio technology roles. In July 2025 the firm announced a managing director to strengthen its AI leadership networks.
Best for: Technology-leadership searches, including private equity operating partner and portfolio technology roles.
Not the right fit for: Buyers who need a stated retained model or published offices, since its page gives neither.
6. Stanton Chase
Stanton Chase's Technology Executives page defines the CTO, CDO and CAIO roles. Its start-up page says it works with venture capital-backed businesses from Series A to D, and with PE-owned firms, on CTO and CISO searches.
Best for: VC-backed (Series A to D) and PE-owned companies hiring a CTO.
Not the right fit for: AI-first companies wanting a dedicated AI-company focus, since its Technology Executives practice is a functional practice across industries at a generalist firm.
7. Cowen Partners
Cowen Partners describes itself as a retained executive search firm for PE-backed, founder-led and Fortune 500 companies. It has a CIO/CTO/CISO function page and a Technology industry page but no distinct AI practice. On AI, it offers only an insight article on where a Chief AI Officer sits next to the CIO and CTO.
Best for: PE-backed and founder-led companies that want a retained, senior-partner-led CTO search.
Not the right fit for: Companies needing a dedicated AI practice or a Chief AI Officer service.
8. Korn Ferry
Korn Ferry's Technology Officers page lists CTO and Chief Digital Officer, plus an AI & machine learning area under data. It does not list Chief AI Officer.
Best for: Global CTO searches run by a dedicated technology officers function, with assessment and succession services around the search.
Not the right fit for: AI-first or VC-backed companies wanting a firm that addresses them specifically, since this large generalist's page does not.
9. DHR Global
DHR Global's Technology Officers page lists a CIO/CTO practice and cybersecurity. It also lists a Product, Engineering & Data practice that covers AI/ML, NLP and data science.
Best for: Searches that benefit from separate CIO/CTO and product, engineering and data practices, with AI/ML named in the data practice.
Not the right fit for: Buyers wanting detail on CTO roles specifically, which this large generalist's page lists but does not describe.
When is a CTO search firm not the right fit?
A CTO search firm is the wrong choice in three cases:
- The role is really a Chief AI Officer or Head of AI.
- You need contract or high-volume staffing.
- The firm does not cover your company's stage or country.
In each case, pick a firm whose stated practices match the role you need.
Define the role before you call anyone. A CTO owns the technology organization and the systems behind the product. A first AI leader may own models, data and AI strategy without running all of engineering. A fractional technology executive covers a gap for a set period, often while a permanent search runs.
Each calls for a different firm or engagement model. Several firms on this list, including Heidrick & Struggles, Heller Search Associates and Stanton Chase, name both CTO and Chief AI Officer roles on their pages. True Search and Axial Search offer fractional options alongside search.
Stage and geography rule firms out just as fast. A Series B company needs a firm that understands what a CTO does before the organization has layers. A PE-owned business needs a firm that knows operating-partner and portfolio expectations. If you hire in Canada as well as the US, confirm coverage at the start, not after the shortlist arrives.
The right CTO search firm matches your role, stage and AI needs
Most CTO candidates in our sample already hold senior roles and have moved between employers several times. Many lack either hands-on AI depth or budget ownership. The firm you pick has to reach those people and test for both gaps.
Start with the AI coverage and client stage columns in the table. Read each firm's limits as carefully as its strengths. Then ask every firm on your shortlist how it will check that a candidate has built with AI rather than talked about it.
Methodology and sources
Candidate figures come from a random sample of 757 US and Canadian CTOs at Director, VP and C-suite level in Axial Search's candidate network, using each person's current level in that function. Anecdotes are drawn from resumes in our network and generalized so no person or employer can be identified. External figures are cited below. Firm details come from each firm's own website.
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