One monthly fee, whatever the hiring plan turns out to be
You are going to be scaling the team in several areas this year. The question is how you find the right people, and what that costs.
The arithmetic
| Route | Year one | Per hire |
|---|---|---|
| In-house recruiterSalary every year, plus equity, plus severance if hiring slows | 215,000 | 26,875 |
| AgenciesA fee every time. Nothing retained between hires | 288,000 | 36,000 |
| Embedded with meOne monthly fee, whatever the hiring plan turns out to be | 144,000 | 18,000 |
In-house recruiter, $215,000. That is a $165,000 median base, read off 16 live adverts at AI companies that published a range, plus employer taxes, benefits and a LinkedIn Recruiter licence.
Agencies and embedded are both costed at eight hires in year one on a blended base of $180,000, to compare like for like.
The reality is that embedded can fill many more roles in twelve months than eight, for the same fixed price. The more you plan to hire, the further apart those two numbers get.
The part the salary hides
A recruiter from a general tech or SaaS background arrives without a network. They do not know the twenty companies you compete with for candidates, which ones just raised, or which ones are about to lose people. They will learn. It takes three to six months, and you pay full salary throughout.
Cover even two roles on a per-hire fee while they find their feet and year one is $215,000 of salary plus $72,000 of fees. That is $287,000, double the embedded price, for pipeline that starts in month six.
How it works
You are buying my time, my judgement and my network, not a process with a name on it.
- A dedicated hiring partner inside your tools and your process.
- Every search run by me. No juniors, nothing outsourced, no handover after the sale.
- In your applicant tracking system, your Slack, your weekly hiring meeting.
- A pipeline review every week, so you always see exactly where each search stands.
- Scale up or down at each renewal point as the plan changes.
- You keep everything: the market maps, the pipelines, the intelligence.
What it costs
| Start here | $8,000 | One month, one role. A full market map for it and a shortlist of qualified, interested people. Credited in full against your first month if you continue. |
| Three months | $15,000 | Per month. For a burst of hiring, or to cover a gap. |
| Six months | $13,500 | Per month. The usual shape after a raise. |
| Twelve months | $12,000 | Per month. Best price and best results, because the market knowledge compounds. |
US dollars, invoiced monthly in advance. No employer taxes, no benefits, no equity, no severance.
When embedded is not right
- One or two hires and then done.You should not pay for capacity you will not use. Send me the single role that matters most and I will run it on its own, 20% of base, with no upfront fees.
- The hiring plan is not funded yet.Come back when it is. Spend the runway on the product.
- You already have a talent team.This still works. Extra senior capacity for a quarter, without adding permanent headcount to a plan you may need to change.
Single roles, with no upfront fees
Not every company needs an embedded model, and I would rather run one role well than sell you capacity you will not use.
If you only need to hire one or two people, that is best done as a single search. I work at 20% of base salary, with no upfront fees. Same market, same person, same network. No retainer and no commitment.
That is not the full list. I cover every commercial role across Sales, Marketing, Product and Delivery. If the role you are hiring is not above, it is still one I run.
I already work in your market
Not tech in general. This market, these companies, at your stage. Twelve AI companies from Seed to Series B in the last three years.
ClearMLMLOps and AI infrastructure
CometMLOps and LLM evaluation
PredibaseLLM fine-tuning
TrueFoundryLLMOps
HumanloopLLM observability
ArceeLLM development platform
Union AIAI developer platform
VertesiaAgentic process automation
QuilrAI governance
Defined.aiAI training data
ConfidentialMindPrivate LLM deployment, sovereign AI
SimplismartModel inference and servingAcross those companies I have placed Account Executives, Solution Engineers, Solution Architects, SDRs, Sales Managers, Product Marketing, a Director of Demand Generation, VP Sales, VP Marketing, VP Financial Services and a CRO, among others.
One of them has had seven of those searches open with me at the same time, across the US and EMEA.
I map this market in public
A recruiter who has worked in tech cannot show you any of this. It is the difference between knowing recruitment and knowing your industry.
The AI market redraws itself constantly. To stay on top of it I map a slice of it every few weeks, publish it, and then email the founders on it to ask whether I placed them correctly. They write back, at length, and often to disagree. What they say is usually more interesting than the map, and none of it is available anywhere else.
Conversations with the people building it
Founders, CROs and CTOs from across the AI stack, on what they are building and who they need to build it.
NeuralkTabular & Structured-Data MLAlexandre PasquiouCo-Founder & CSO
V7Document Processing & ExtractionAlberto RizzoliCo-Founder & CEO
Reality DefenderDeepfake & Content Authenticity DetectionBen ColmanCo-Founder & CEO
WitnessAIShadow AI Discovery & Workforce AI GovernanceRick CacciaCEO
AsenionAI Governance, Risk & ComplianceAnna FelländerCEO
Adversa AIAI Red Teaming & Security TestingAlex PolyakovCo-Founder & CEO
HammingLLM Evaluation & TestingSumanyu SharmaCo-Founder & CEO
Align AIAI Governance, Risk & ComplianceNicholas WooHead of CX & Growth
TraceloopLLM & Agent ObservabilityNir GazitCEO & Co-Founder
InsightFinderLLM & Agent ObservabilityHelen GuFounder & CEO
NebulyAgent Monitoring & DebuggingJulien RouxCo-Founder
ConfidentialMindAI Data Privacy & Confidential ComputingMarkku RäsänenCEO
Contextual AIEnterprise Knowledge & Context LayerDouwe KielaCEO
Pruna AIInference Optimization & CompilersQuentin SinigGTM Leader
OpenPipeModel Training & Fine-TuningKyle CorbittFounder
AnoteData Labelling & Annotation ServicesNatan VidraFounder & CEO
VectorizeAgent Memory & Context ManagementChris LatimerCo-Founder & CEO
Feedback IntelligenceAgent Monitoring & DebuggingChinar MovsisyanFounder
Arcee AIFoundation Model LabsBrian BenedictCo-Founder & CRO
LangWatchLLM Evaluation & TestingManouk DraismaCo-Founder
DynamiqAgent & Workflow Orchestration FrameworksVitalii DukCEO & Founder
KorticalAutoML & Predictive AnalyticsBarbara JohnsonCOO
PromptLayerPrompt Management & ExperimentationJared ZoneraichFounder
ValohaiMLOps & ML Lifecycle PlatformsEero LaaksonenCEO
What I publish
Market maps, hiring notes, and what founders tell me when they disagree with me.
Most of it goes out on LinkedIn. The maps are the biggest pieces, built on what the companies on them wrote back when I asked whether I had placed them correctly. Several disagree with me in public, which is the most useful thing that can happen.
Alongside those, shorter notes on who is hiring, which roles are moving, and what I am seeing across the AI stack week to week.
The next step
Give me your hardest open role.
In a month you will have the market for it mapped and a shortlist of people who want to talk. That is how we start, and it comes off your first month if we carry on.
ben@ai-people.co →