Sales & Revenue Recruitment

Hire closers,
not CV fillers.

9cv9 maps every sales candidate's verified quota history, deal velocity, and career trajectory before you see their name. So your shortlist contains sellers — not résumé optimisers. Active across Southeast Asia and globally.

91%
quota attainment — avg candidate
18d
avg time to first interview
retention vs. agency average
Shortlist quality — current mandate Live
Sourced
142 profiles
142
AI screened
67 passed
67
Risk cleared
31
31
clean
Shortlisted
8
8
elite
Enterprise AE ↑ 91% quota
|
VP Sales ↑ $4.2M ARR built
|
RevOps Lead ↑ 38% pipeline velocity
|
SDR Manager ↑ 12 reps managed
|
Mid-Market AE ↓ Risk: high churn flag
|
CRO ↑ 2 exits, Series C
|
SDR ↑ 140% attainment
|
Sales Engineer ↑ SaaS, fintech depth
|
Enterprise AE ↑ 91% quota
|
VP Sales ↑ $4.2M ARR built
|
RevOps Lead ↑ 38% pipeline velocity
|
SDR Manager ↑ 12 reps managed
|
Mid-Market AE ↓ Risk: high churn flag
|
CRO ↑ 2 exits, Series C
|
SDR ↑ 140% attainment
|
Sales Engineer ↑ SaaS, fintech depth
|

Every mis-hire kills more than quota.

💸
The CV quota problem
60% of sales candidates inflate quota attainment figures. Without verified performance data, you're betting your revenue target on a self-reported number.
🔄
Counter-offer churn
Sales talent is most likely to accept counter-offers. Without hire risk profiling, you submit candidates who statistically won't make it through their first review.
📉
Ramp time blind spots
A seller who took 9 months to ramp at their last role will do the same. Career momentum analysis surfaces this pattern before you present — not three months after.

Built for mandates where performance is everything.

Every analytical layer was designed around one question: will this person actually perform in the role? Not just interview well.

01
🎯
Quota attainment profiler

Cross-references tenure length, promotion cadence, and endorsement patterns to triangulate real performance vs. stated quota attainment. Flags where claims outpace evidence.

Marcus J.
94% est.
Sarah K.
82% est.
David T.
61% est.
Priya M.
38% est.
Verified signals Claimed vs. triangulated
02
🛡
Revenue hire risk

Sales candidates carry unique risks: counter-offer likelihood, commission-driven job-hopping, over-reliance on a single enterprise logo. Our risk profiler scores each factor separately.

Counter-offer likelihood HIGH
Commission churn pattern MOD
Enterprise logo dependency LOW
Churn flags Composite risk score
03
📈
Deal size & market fit

Categorises candidates by the sales motions they've actually run: SMB transactional, mid-market velocity, or enterprise complex. Mismatched deal size is a leading cause of revenue hire failure.

Enterprise ($100K+ ACV) STRONG FIT
Mid-Market ($10–100K) MODERATE
SMB (<$10K ACV) MISMATCH
Market segment match
04
Career momentum engine

Tracks whether a sales career is accelerating (expanding territory, promotions to player-coach, stepping into leadership) or decelerating. Trajectory tells you more than tenure alone.

Marcus J.
Accelerating
Sarah K.
Steady
David T.
Plateauing
Trajectory analysis Plateau detection
05
🗂
Revenue roles we place

From individual contributors to CRO mandates. Our analytics adapt to each seniority tier — what matters in an SDR profile differs from what matters in a VP Sales hire.

Account Executive SDR / BDR VP Sales CRO RevOps Sales Engineer Customer Success Partnerships
91%
avg quota attainment score in our network
6mo
placement guarantee on all revenue roles
18d
avg days to first qualified interview
0
high-risk candidates submitted undetected
Assessment area Generalist recruiter 9cv9 Sales & Revenue Recruitment
Quota verification Relies on stated figures from CV — no triangulation against context. Triangulates attainment against tenure, deal size, and endorsement patterns. Flags where claims outpace evidence.
Risk detection Counter-offer and churn risk surfaces at reference stage — after submission. Revenue hire risk profiler scores counter-offer likelihood, commission-hopping patterns, and logo dependency before the shortlist.
Deal-size fit Job title match only — no distinction between SMB, mid-market, and enterprise motions. Explicit deal-size categorisation (SMB, mid-market, enterprise) matched against mandate requirements. Mismatches flagged.
Career momentum Tenure length treated as a proxy for quality. Trajectory scoring identifies accelerating vs. plateauing sales careers before shortlist presentation.
Shortlist speed Manual sourcing and CV forwarding — no systematic pre-qualification. AI-powered candidate scoring across all dimensions. Qualified shortlist typically within 18 days.
Placement guarantee Not offered at revenue role level by most agencies. 6-month replacement guarantee on all revenue mandates.

Data behind every revenue hire.

Revenue hiring is high-stakes. Every analytical layer is calibrated to the specific failure modes of sales roles — not repurposed from generic hiring metrics. Active across Southeast Asia: Vietnam, Singapore, Malaysia, Thailand, and beyond.

2.4×
higher first-year retention vs. traditional agencies
91%
placed candidates hitting quota in year one
18d
average time to first qualified shortlist
6mo
replacement guarantee — all revenue placements

From mandate to qualified shortlist.

01
Mandate scoped
We define the role's performance profile: deal size, sales motion, seniority tier, target vertical, and ramp expectations.
02
Network searched
AI sources across LinkedIn, job platforms, and our proprietary network. Revenue specialists only — no generalist noise.
03
Profiles scored
Quota profiling, risk analysis, deal-size fit, and career momentum run across all candidates. Ranked by predicted performance.
04
Briefing delivered
You receive a data-backed shortlist with a client briefing doc — ready to present to your hiring committee or board.

Revenue teams that actually perform.

*Illustrative case studies — actual client references available on request.

We'd had two failed AE hires in a row — both looked great on paper. 9cv9 showed us the quota attainment triangulation and we immediately understood why. Our third hire closed $1.2M in his first quarter.

RH
Ryan Hartley
VP Sales, B2B SaaS — Series B

The deal-size fit analysis changed everything. We're enterprise. Every previous agency sent us mid-market hunters. 9cv9 understood the motion difference and the shortlist was immediately better.

JC
Jennifer Chow
CRO, Enterprise Infrastructure

The hire risk flag on one of our top candidates saved us. Counter-offer likelihood was high — we were warned. We restructured the package, they joined, they stayed. That's 6 months of ramp protected.

MP
Marcus Powell
Head of Revenue, FinTech Scale-up

Every sales hire should come with evidence.

Submit a mandate and receive a data-backed shortlist of quota-verified, risk-cleared revenue professionals — typically within 18 days.

roles.9cv9recruitment.agency  ·  [email protected]