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
Key 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