Enterprise AI Engagement Lead

Turing; New York (NY); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Turing Intelligence builds and ships production AI systems for large enterprises. The Engagement Manager owns end-to-end delivery—from signed SOW through production deployment, adoption, and renewal—acting as the client’s executive counterpart and leading AI Engagement Leads and Forward Deployed Engineers.

You will not write code, but must have technical fluency to scope AI work, challenge plans, and explain trade-offs to a client CTO or model-risk team, while safeguarding margin, scope, and

Formación

• 8+ years in client-facing delivery or consulting, with at least 3 years leading engagements or accounts for financial services clients.
• Track record of owning engagement or account financials: margin, forecasting, staffing, change orders, renewals.
• You have led at least one AI, ML, or data-platform program into production at an enterprise.

Responsabilidades

• Own engagements end to end. Structure SOWs with clear scope, milestones, dependencies, acceptance criteria, and a value hypothesis before signature.
• Run the engagement: cadence, staffing, risk and dependency management, decision logs, client communications.
• Hold the standard that success is adoption and measured impact, not "delivered on time."
• Set the quality bar with your engineering lead: production readiness, evaluation of model-backed components, and acceptance testing are part of "done."
• P&L and growth: Own the engagement P&L, identify expansions, and report value, risks, and decisions to sponsors.

Conocimientos

Engagement management

Client-facing delivery

Executive presence

Technical fluency

NY-based

Account leadership

Descripción del empleo

Turing Intelligence builds and ships production AI systems for large enterprises. The Engagement Manager owns end-to-end delivery—from signed SOW through production deployment, adoption, and renewal—acting as the client’s executive counterpart and leading AI Engagement Leads and Forward Deployed Engineers.

You will not write code, but must have technical fluency to scope AI work, challenge plans, and explain trade-offs to a client CTO or model-risk team, while safeguarding margin, scope, and