The best search firms in Singapore start looking long before a client calls. They keep a live map of who leads what across Singapore and the wider region, watch for the moments when a settled leader might listen, and approach through warm, specific and confidential conversations. At Olofsson & Company our AI platform builds a full market map within 48 hours, and our consultants narrow it to the five to ten leaders worth meeting.
The CTO you want is not looking. They are halfway through a platform rebuild, sitting on unvested equity, and haven't touched their LinkedIn profile in two years. They will never see your job advert. They may well be the best person for your role.
Every senior tech search ends up hunting for someone like that. LinkedIn's figures put 70% of the global workforce in the passive camp: people who aren't actively job searching.[1] In our experience, almost every leader worth hiring sits there. So the question that separates good search firms from the rest is simple. How do you find someone who isn't looking, and get them to take your call?
We run executive search for AI and technology leadership from Singapore. This is how the work actually gets done.
Why the leaders you want are never on the market
Start with demand. ManpowerGroup's 2026 Talent Shortage Survey of 504 Singapore employers found that 71% still report difficulty hiring skilled talent (down from 83% a year earlier), and that AI Model and Application Development is now the hardest skill to find, cited by 26% of them.[2] The government is adding pressure from the other side. Singapore's second National AI Strategy aims to more than triple the number of AI practitioners in the country to 15,000, and says it will welcome foreign professionals with the right skills to complement the local workforce.[3]
Now look at supply. The people who can lead an AI function are already leading one. They are well paid, often mid-vest, and approached constantly. They are not browsing job boards.
That leaves three ways to reach them, and they are far from equal:
- An advert reaches the 30% who are actively looking. For a Head of AI, that is rarely where your hire is.
- A headhunter's network reaches whoever that headhunter already knows. Useful, but it reflects an accident of their career rather than a view of your market.
- A market map reaches everyone who could do the job, including people nobody has called yet.
The best firms work from the third and use the second to open doors.
Build the map before the brief arrives
A talent map is a structured picture of the market for one kind of leader. It starts with organisations: every company where the experience you need could have been built. Direct competitors, obviously. Also the adjacent industries, the regional players a step ahead of you, and the global firms running engineering centres in Singapore and elsewhere in Asia.
Then it goes inside each one. Who holds the role today, what they actually own, who they report to, how long they've been there and where they came from. Titles mislead. A "Head of Data" at one scale-up runs four analysts. At a bank, the same title can run eighty people and a regulatory programme. The map has to record scope as well as the label on the business card.
For a Singapore role, the map rarely stops at the border. The leader who could run your AI team might be in Bangalore, Sydney, Hong Kong or London today. A Singapore-only map is a small map.
This research used to take weeks of manual work.[4] It is where technology changes the economics most. Our AI platform scans millions of profiles and builds a full market map within 48 hours.[5] It can also map a client's competitive field before a search even begins,[6] so when the brief lands our consultants start from judgement instead of a blank spreadsheet.
What a mapping deliverable should contain
Ask any firm you are considering to show you an anonymised map from a past search. A good one answers eight questions. If it can't, you are buying a network with a spreadsheet attached.
| Element | What it tells you | Red flag if it's missing or thin |
|---|---|---|
| Target organisations, with a reason for each | Where the experience is really built | A list of famous logos and nothing else |
| Named role holders, with scope and reporting line | Who actually did the work | Titles with no team size or remit |
| Tenure and last move | Who might be ready to move | No dates at all |
| Movement signals | Who might listen now | Every name marked "open to opportunities" |
| Pay context by segment | Whether the shortlist is affordable | A single "market rate" figure |
| Location and mobility | Who can realistically relocate, and when | An assumption that everyone can start in Singapore next month |
| Approach status | Who has been contacted and how they responded | A list of names presented as a "shortlist" |
| A recommendation | The five to ten people you should meet | Forty CVs and no opinion |
The last row matters most. A map is evidence. A shortlist is judgement, and a firm that can't tell you why person seven beats person twelve has only done half the job.
One practical note on mobility. If your map reaches across the region, check work-pass and relocation timing at the mapping stage. Every market has its own rules and notice periods, and finding a problem at offer stage costs you the candidate and a month.
How good firms spot a leader before they move
People rarely decide to leave out of nowhere. Something changes around them first, and a well-kept map is how you notice. These are the signals we watch:
- Their company gets bought. In a study of more than 12,000 executives across 473 firms, Jeffrey Krug found that top managers of acquired companies quit at significantly higher rates than normal for up to nine years after the deal.[7] An acquisition three years ago is still a live signal.
- Their remit shrinks. A reorganisation, a new CEO, a product line shut down, a funding round that fell short. Any of these can turn a contented leader into a curious one.
- The job is done. A leader hired to build a platform who has now built it is often ready for the next build, whether they say so or not.
- Their work is public. AI leaders leave trails: conference talks, papers, open-source projects, patents. These show what someone can do far better than a profile summary.
Signals tell you when. They don't tell you who is worth the call. In his Harvard Business Review essay on talent spotting, Claudio Fernández-Aráoz opens with a CEO who scored above target on every competency the company had identified and still failed after three years, because he couldn't adapt when the market shifted.[8] For AI leadership, where the job itself will look different in two years, that lesson bites. Map for people who have adapted before. Look for leaders who moved from research into product, built a team twice, or shipped through a platform change. A perfect title match matters less.
This is where the platform and the people split the work. The platform maps the market; the consultant judges the work.[4] Our consultants bring more than 15 years of experience to that second step.[5]
How the approach actually works
Finding a leader is half the job. Getting them to talk is the other half, and it's where most outreach fails.
Warm beats cold. LinkedIn's data shows candidates are 46% more likely to accept a message when they're connected to someone at your company, and that mentioning a former employer in common lifts the response rate by 27%.[1] Shared context gets a reply. Volume gets deleted.
Lead with their career. Before you describe a role, ask where they want to be in three years. If the answer and the mandate line up, the conversation sells itself. If they don't, say so and stay in touch.
Be specific. "An exciting opportunity with a fast-growing company" goes straight in the bin. A defined remit, a company stage and a reason this person in particular came up will earn a second call.
Keep the client's name back. A sitting leader at a peer company won't take a speculative call from your CHRO, because the name on the calendar invite is itself the disclosure. A third party can present the role on its merits and hold your identity back until interest is real.[9] Our guide to confidential executive search explains how that works.
Play the long game. The leader who says "not now" this year is often the right hire next year. LinkedIn found that 87% of active and passive candidates are open to new opportunities.[1] Open is not the same as ready. The firms that respect a "not now" are the ones who get the call when it becomes "now".
Why a map beats a network-only headhunter
Networks matter. A map tells you who exists, and a relationship gets them on the phone. The trouble starts when a firm only has the relationship.
| Network-only headhunter | Mapped search | |
|---|---|---|
| Coverage | People the consultant already knows | Everyone in scope, including people nobody has called |
| Shortlist | Familiar names, often recycled across clients | A deliberate choice from the whole field |
| Evidence | "Trust me, I know everyone" | A document you can question |
| Speed | Quick if the right person is in the address book, stuck if not | Research is done before the brief, so speed doesn't depend on luck |
| Reach | The consultant's own patch | Singapore, Asia-Pacific and beyond |
A network-only search also shapes who gets considered. If the slate comes from one consultant's contacts, it tends to look like those contacts. Mapping the whole field is how you find the leader your competitors haven't met. Our explainer on what AI executive search is covers why this sits at the centre of an AI-native process.
At Olofsson & Company we run both halves together. The platform gives us coverage of the market, primarily across Asia-Pacific and globally when a mandate demands it.[6] Our specialist consultants bring the relationships and the judgement, and narrow the field to the five to ten candidates you actually need to meet.[5] For a Singapore scale-up competing with global brands for the same people, that coverage is the edge. We have written about how scale-ups can win that contest too.
By the time a great tech leader is on the market, someone has already called them. Make sure it was you.
Frequently asked questions
How do headhunters in Singapore build networks of passive tech candidates?
The strongest firms map the market first: every organisation where the right experience is built, who holds the relevant roles and what they own, across Singapore and the wider region. They track signals such as acquisitions, reorganisations and finished builds to judge who might listen, then approach through shared connections and specific, confidential conversations. Relationships are kept up between searches, so a "not now" can become a hire later.
What is talent mapping in executive search?
Talent mapping is structured research into everyone who could do a specific leadership role: the organisations where that experience is built, the people in those roles, their scope, tenure and likelihood of moving. It defines the market before outreach starts. A shortlist comes later, once candidates have been approached and assessed.
How long does it take to build a talent map?
When should a company commission a talent map without an active search?
Ahead of a funding round, a regional expansion or succession planning for a critical role. Knowing who is out there, and what they cost, makes the eventual search faster and the final decision better informed.
Sources
- business.linkedin.com: LinkedIn Talent Solutions hiring statistics, including the 70% passive share of the global workforce, the 87% of candidates open to new opportunities, and InMail response lifts from employee connections and former employers in common.
- manpower.com.sg: ManpowerGroup 2026 Talent Shortage Survey of 504 Singapore employers, with 71% reporting hiring difficulty and AI Model and Application Development the hardest skill to find.
- mddi.gov.sg: Launch of Singapore's second National AI Strategy in December 2023, including the aim to more than triple AI practitioners to 15,000 and to welcome foreign professionals with the right skills.
- olofsson.ai: Olofsson & Company explainer on AI executive search, comparing manual market mapping in weeks with about 48 hours on an AI-augmented process.
- olofsson.ai: Olofsson & Company homepage describing how the AI platform scans millions of profiles to build a full market map within 48 hours, and how specialist recruiters with 15+ years of experience surface the top 5 to 10 candidates.
- olofsson.ai: Olofsson & Company on its proprietary AI platform, which identifies and engages candidates who are not actively looking and maps a client's competitive field before a search begins, primarily across Asia-Pacific with global reach.
- ideas.repec.org: Jeffrey Krug, "Executive Turnover in Acquired Firms", Journal of Management and Governance (2003), a study of more than 12,000 executives in 473 firms over fifteen years.
- hbr.org: Claudio Fernández-Aráoz, "21st-Century Talent Spotting", Harvard Business Review, June 2014, on why candidates who match every competency can still fail.
- olofsson.ai: Olofsson & Company guide to confidential search, including why a third party can approach a sitting leader and hold the client's identity back.