A senior tech or AI leadership hire takes roughly three to four months from brief to accepted offer, and longer to a first day once notice is served. AI recruitment agencies differ most at the front end: how quickly they map the market and deliver a vetted shortlist. At Olofsson & Company, our average time to shortlist on senior searches is 20 days.[1] No algorithm shortens a board's calendar or a notice period, so compare firms on the same clock, and never on a best case.
Every search firm is fast. Ask which clock.
Ask five firms how long a Chief AI Officer search takes and you will hear five answers. Seventy-two hours. Three weeks. Six weeks. Four months. Six months.
All of them can be true at once. Each firm starts and stops a different stopwatch, and there are three worth knowing:
- Time to shortlist. From signed brief to a vetted list of candidates you would meet. This is where AI recruitment agencies compete, and where the headline numbers come from.
- Time to fill. From the day the role opens to the day an offer is accepted. It's the standard HR definition,[2] and it's the number most benchmarks report.
- Time to start. From brief to the leader's first day. The only clock your board feels, and the one almost nobody advertises.
For senior roles the gap between those clocks is enormous. SHRM's 2026 benchmarking puts the median time to fill an executive position at 45 days, down from 60 days in 2022.[3] Search firms quote something else entirely. Talentfoot's 2026 benchmarks advise budgeting 2.5 to 3.5 months for a Director, 3.5 to 4 months for a VP and around four months for the C-suite, where the spread is widest: one search closed in six weeks, another ran for 45 weeks.[4] JRG Partners puts critical leadership searches at three to six months overall, and C-suite searches at four to eight months or more.[5]
Neither view is wrong. An in-house team filling an executive role from a pipeline it already knows is running a different race from a search that has to find, approach and persuade a passive AI leader who is doing well where they are.
Where the weeks actually go
Split a senior search into its phases and "how do agencies compare?" gets easier to answer, because agencies differ on only a few of them.
| Phase | Typical duration | What AI changes | What sets the pace |
|---|---|---|---|
| Brief and calibration | Days if the decision-makers are in the room; weeks if they aren't | Very little | Agreement on the role, the scorecard and the pay envelope |
| Market mapping and shortlist | 3 to 5 weeks from kick-off at traditional search firms[5] | A great deal: our platform builds a full market map within 48 hours[6] | Data coverage, and how well a consultant reads it |
| Outreach and engagement | Runs alongside the shortlist | Some | How credible the approach feels to a passive candidate |
| Assessment and interviews | The longest variable block | Scheduling, mostly | Your panel's calendar and the depth of evaluation |
| Approvals, references, offer | References 1 to 3 weeks; board approval can add 2 to 6 weeks[5] | Almost nothing | Governance and decision speed |
| Notice and relocation | Notice of 2 weeks to 3 months; relocation of 4 to 12 weeks[5] | Nothing | Contracts, employment law and the current employer |
Read down that table and a pattern jumps out. AI compresses the part of a search that is research. It barely touches the parts that are people making decisions.
Hirebound makes the same point about hiring in general. In its illustrative 38-day process for a mid-level role, about 26 days are spent waiting between stages, with nobody evaluating anyone.[7] Senior searches stack more approvals on top. Talentfoot's own summary is blunt: "AI is compressing the front end, but the real bottleneck is the decision stage, where alignment and client speed determine the outcome."[4]
We agree, and we'd add one thing. Assessment is the phase you never rush. A bad AI leadership hire costs you a year. Rushing the interviews saves you a week.
How AI recruitment agencies compare on time-to-hire
Here is what firms in this market publish about their own speed. Treat every figure as the firm's own claim, measured on its own clock.
| Firm or model | Published speed claim | Which clock | Built for |
|---|---|---|---|
| Olofsson & Company (AI-native executive search) | Full market map within 48 hours;[6] 20-day average time to shortlist and 97% placement success on senior searches[1] | Shortlist | CEO, CTO, Chief AI Officer, VP Engineering and other senior tech leadership |
| Talentfoot (executive search) | Five-week average placement timeline; 98% client success rate[4] | Placement | Executive roles |
| Alpha Apex Group (AI recruiting firm) | First CVs within 72 hours; 43 days on average to fill a role[8] | First CVs, then fill | Technical and professional hiring |
| GoGloby (AI engineering talent) | Shortlist in 5 to 10 business days; accepted offer in 4 to 6 weeks[9] | Shortlist, then offer | ML, LLM, MLOps and applied AI engineers |
| Large global search firms such as Korn Ferry, Heidrick & Struggles and Russell Reynolds | Industry estimates put AI-assisted C-suite timelines at 14 to 16 weeks, against a historical 18 to 20[10] | End to end | Board-level and C-suite mandates |
| In-house HR benchmark | Median of 45 days to fill an executive role[3] | Fill | Roles with a known or active pipeline |
Three things stand out.
The fastest claims come from firms that hire engineers. A shortlist of ML engineers inside a week is real. It tells you very little about how fast you can land a Chief AI Officer, and GoGloby itself is clear that its model is built for engineering roles.[9]
The shortlist clock is where AI-native firms pull away. Traditional search firms typically take three to five weeks from kick-off to shortlist.[5] Aptitude Research's 2025 AI in Talent Acquisition report, as cited by Noon, found AI-assisted sourcing got from first contact to accepted offer in about 28 days, against 41 days for manual sourcing, and that most of the gap came from faster pipeline-building up front.[11]
The end-to-end number moves far less. Even the optimistic estimate for AI-assisted C-suite search, 14 to 16 weeks, is still more than three months.[10] Anyone promising a signed Chief AI Officer in three weeks is counting a different clock, or hiring someone who was already looking.
The back end no algorithm touches
If agencies compete at the front end, most searches lose their time at the back. Much of it sits on the client's side of the table.
Decision drag. In a 2024 Greenhouse survey, 67% of recruiters named hiring manager delays as their top bottleneck.[2] At senior level the delays compound. Another round so a board member can meet the finalist. A week waiting for sign-off on the package. A reference call nobody booked.
Candidate drop-out. Slow processes lose people. Talent Board's 2025 candidate experience research, also cited by Noon, found that 57% of candidates had dropped out of a hiring process because it took too long.[11] Senior AI leaders rarely need your job. Leave them a fortnight between rounds and they'll assume the answer is no.
Notice periods. This is the part founders forget to plan for. Statutory notice is only a legal floor, and contracts can give more.[12] In France, notice for cadres (managers and executives) is typically three months. In India, one to three months by contract is usual. Across the UK, Germany and France, garden leave is common for senior roles, so the leader you've hired may spend their notice at home, paid, and still unable to start with you.[12] Most US states are at-will, with no statutory notice at all,[12] though a senior contract may still set one.
Counter-offers. A resignation is the moment the current employer finally notices what it is about to lose. Expect a counter-offer for any senior AI leader worth hiring, and prepare for it before your offer goes out. We've written about why accepting a counter-offer rarely works.
For a local example of how these stages stack up, see our piece on why executive searches in Singapore often run to six months.
What "fast" looks like in 2026
So what is a realistic target for a senior tech or AI leadership hire? Going by the benchmarks above:
- Shortlist: two to four weeks is strong. Faster is possible when the brief is tight and the market is already mapped. Much slower usually means the search started without a real brief.
- Accepted offer: around three to four months for a VP or C-suite technology role.[4] Anything under three months for a VP is a good result.
- First day: add the notice period and any relocation on top.[5] For a senior leader, that can be another three months.
If a firm quotes you something dramatically shorter end to end, ask what it is measuring.
How to make your next senior search faster
Most of the recoverable time is yours to recover. Do this:
- Lock the brief before the search starts. Agree the scorecard, reporting line and pay envelope with every decision-maker, in one meeting. Our guide to what AI leadership actually costs will help you set the number.
- Book interview slots on day one. Put panel time in the calendar for weeks three to six before a single candidate is approached.
- Set a deadline for every decision. Forty-eight hours from interview to feedback. Hold yourself to it.
- Ask for last-quarter medians. GoGloby's guidance is right here: compare firms on their median time to shortlist over the last quarter, their interview-to-offer ratio and how lead times change with seniority.[9] A best case tells you nothing.
- Plan for notice from the start. If the business can't wait three months, arrange interim cover while the search runs.
- Don't cut assessment to save a week. Take references properly. Test for delivered outcomes rather than job titles. Our note on reducing the risk of a bad AI leadership hire sets out how.
How we run a fast senior search
We built Olofsson & Company on the view that speed and judgement shouldn't be a trade-off.
Our proprietary AI platform scans millions of profiles and builds a full market map within 48 hours, including the leaders who would never answer a job advert.[6] Our specialist consultants, each with 15-plus years of experience, then narrow that map to the five to ten people you actually need to meet.[6] On senior searches for roles such as CEO, CTO, Chief AI Officer and VP Engineering, our average time to shortlist is 20 days, with a 97% placement success rate.[1]
That's where AI earns its keep. Where it doesn't, we don't pretend otherwise. We slow down for assessment. We push clients to decide quickly between rounds. And when a notice period leaves a gap the business can't carry, we can put advisory or interim cover in place while the permanent hire works out their notice.
If you want to see how an AI-native process differs from traditional headhunting in more depth, read what AI executive search is.
The takeaway
Fast is a shortlist in three weeks and a decision in three days. The rest is somebody's calendar. Make sure it isn't yours.
Frequently Asked Questions
How long does it take to hire a senior tech or AI leader in 2026?
Are AI recruitment agencies faster than traditional executive search?
What is a good time to shortlist for a senior technology search?
Sources
- olofsson.ai: Olofsson & Company search practice for CEO, CTO, CAIO and VP Engineering roles: 20-day average time to shortlist and 97% placement success rate.
- consultadd.com: Definitions of time to fill and time to hire, and the 2024 Greenhouse survey finding that 67% of recruiters name hiring manager delays as their top bottleneck.
- shrm.org: SHRM 2026 Recruiting Executives Benchmarking: median time to fill of 45 days for executive positions, down from 60 days in 2022.
- talentfoot.com: Talentfoot 2026 executive time-to-fill benchmarks by level (Director, VP, C-suite), the decision-stage bottleneck, its five-week average placement timeline and 98% client success rate.
- jrgpartners.com: Executive search durations by level, 3 to 5 weeks to shortlist at traditional search firms, reference checks, board approval, notice and relocation timings.
- olofsson.ai: Olofsson & Company process: AI platform market map within 48 hours, and specialist consultants with 15-plus years of experience surfacing the top five to ten candidates.
- hirebound.io: Illustrative 38-day hiring process in which about 26 days are spent waiting between stages.
- alphaapexgroup.com: Alpha Apex Group's published claims of first CVs within 72 hours and an average of 43 days to fill a role.
- gogloby.com: GoGloby's shortlist in 5 to 10 business days and accepted offer in 4 to 6 weeks for AI engineering roles, and its advice to compare agencies on last-quarter medians.
- sentisight.ai: Industry estimates of 14 to 16 week C-suite timelines with AI-assisted search, against a historical 18 to 20 weeks, at firms including Korn Ferry, Heidrick & Struggles and Russell Reynolds.
- noon.ai: Aptitude Research finding of 28 days from first contact to accepted offer with AI-assisted sourcing against 41 days manual, and Talent Board's finding that 57% of candidates have dropped out of a slow hiring process.
- toku.com: Statutory notice periods by country, contractual notice norms in France and India, at-will employment in the US, and garden leave for senior roles in the UK, Germany and France.