Our client is an AI-first operator scaling into compliance-heavy enterprise services — financial services, global data providers, and named tech unicorns — with new lines of business each targeting eight-figure scale. They were built as a tech company, then layered in human teams where regulation and judgement demand it; the architecture is not something legacy BPOs can retrofit.

This is a confidential advisory engagement, not a salaried role. A small group of senior commercial operators are being brought in to open doors to seven-figure outsourced-services buyers, facilitate qualified meetings, and influence deals end-to-end. The strongest relationships are expected to compound into something larger over time.

What you'll do

Open warm doors to senior decision-makers with authority over $1M+ outsourced services spend.
Facilitate qualified meetings between client leadership and BPO/managed-services buyers in your network.
Stay involved across the deal cycle — from introduction through procurement to signature.
Translate buyer pain points (headcount math, MSA-vs-year-two reality, 'AI with quality') back to the client team.
Advise on positioning, objection patterns, and procurement navigation for enterprise BPO sales.
Maintain confidentiality and represent the client credibly within your network.

Must have

Active, current relationships with senior buyers of headcount-based BPO, managed services, KPO, RPO, data annotation, or outsourced operations.
Personally closed enterprise contracts at $1M+ ACV in outsourced/headcount-based services — in the room, not adjacent.
End-to-end deal ownership from initiation through signature, not handoff-after-qualification.
Fluency in where the legacy outsourcing model breaks at the senior buyer level.
Willingness to operate as an independent advisor on retainer + per-meeting + commission.

Nice to have

Prior senior commercial role inside a top-tier global BPO or managed services firm.
Existing relationships in financial services, global data providers, or large tech enterprises.
Track record of repositioning legacy services offerings with AI-augmented delivery.

Pay: ₹8,912.73 - ₹16,926.09 per day

Benefits:

Flexible schedule
Work from home

Work Location: Remote

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