AI Deployment Manager - Pilots - NYC

Responsibilities

• Own the design and execution of enterprise AI pilots, including scoping, cohort definition, and success criteria aligned to a clear commercial decision.
• Identify and prioritize a small set of high-impact use cases that can generate credible signal within a 30–45 day pilot.
• Drive activation and sustained engagement across pilot cohorts through targeted enablement, office hours, and workflow-level coaching.
• Monitor pilot performance and adapt in real time, diagnosing gaps in engagement, use case traction, or stakeholder alignment.
• Translate pilot signals into clear, executive-ready recommendations, including whether and how the customer should expand.
• Navigate customer constraints such as security, data access, and competing tools while maintaining pilot momentum.
• Partner closely with ADs, SEs, and customer stakeholders to align on scope, risks, and next steps.
• Capture patterns across pilots and turn them into repeatable playbooks that improve qualification, execution, and outcomes.

Requirements

• 8+ years of experience in enterprise consulting, customer success, program management, solutions engineering, or a similar customer-facing role, engaging executive and senior technical audiences.
• Have led structured pilots, POCs, or adoption programs tied to a clear business or commercial decision.
• Possess exceptional presentation and communication skills, particularly when conveying technical concepts and pilot outcomes clearly to executive stakeholders.
• Have experience driving product adoption and change management within large organizations, moving users from initial experimentation to sustained usage.
• Bring enough technical fluency to reason about data access, integrations, and common deployment constraints, and can connect technical capabilities to concrete business outcomes.
• Are comfortable operating in fast-paced, ambiguous environments, making tradeoffs in real time while maintaining clarity and momentum.
• Bring a high ownership mindset and collaborative approach, proactively driving outcomes across sales, technical, and customer stakeholders.
• Are personally committed to the responsible and ethical deployment of AI.