Operations: Deployment Manager

GREAT STAFFING LLC
New York, NY, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$160,000.0 - $220,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Operations

Job description

Our client is a frontier AI company redefining predictive intelligence, seeking a Deployment Manager to own client relationships end-to-end - from initial handoff through long-term engagement and upsell. Think McKinsey consultant meets forward-deployed engineer.

This is a high-intensity, in-person NYC role for someone who can speak the language of C-suite stakeholders, translate complex client problems into an AI simulation platform, and deliver insights that drive real decisions.

What You’ll Do

  • Own the post-sale client relationship - receiving handoffs from AEs and running accounts from deployment through long-term engagement
  • Understand client needs, frame their problems into the simulation platform, build and run simulations, and deliver polished results to senior stakeholders
  • Act as a consultative partner to clients across consumer goods, financial services, and other industries - translating rough asks into crisp, client-ready deliverables
  • Identify upsell opportunities by mapping where else within a client organization simulations can create value
  • Coordinate across engineering, product, and commercial teams to keep deployments on track and clients well-served

Requirements

  • 3-6 years in management consulting (MBB) or forward-deployed engineering (Palantir, Scale AI)
  • 2+ years at McKinsey, Bain, or BCG owning client workstreams
  • Delivered insights and analyses directly to C-suite stakeholders
  • Degree from a top-tier university - Ivy League or equivalent
  • Ability to translate ambiguous client problems into structured deliverables
  • Experience configuring or deploying technical products for clients
  • Executive presence - can command a room with CMOs and CEOs
  • Proficiency in Python or working with AI/ML tools a plus

Benefits & conditions

Pulled from the full job description Health insurance Dental insurance, * Dental insurance

  • Health insurance

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