Senior AI Project Manager

ASAPP; New York (NY); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

ASAPP is seeking a Senior AI Project Manager to lead customer-facing software and AI delivery projects from initiation to closure in our Customer Experience organization. The role requires coordinating across technical and business teams to ensure clear communication, predictable execution, and a high-quality customer experience.

You will drive delivery discipline across our strategic enterprise engagements in a player-coach capacity, mentoring teams while also contributing hands-on work and

Mansioni

• Manage customer-facing software and AI delivery projects end to end, ensuring alignment with scope, timelines, and customer expectations across the full project lifecycle.
• Build and maintain project plans, schedules, and core delivery documentation to support transparency and accountability across teams.
• Communicate project status, risks, and dependencies clearly to enterprise customers and internal stakeholders, including executive leadership.
• Coordinate cross-functional teams spanning Solutions Engineering, Product, and Customer Success through each phase of delivery.
• Support escalation handling with professionalism and timely follow-through, serving as a steady point of contact for customers navigating complex deployments.
• Contribute to PMO best-practice development and continuous improvement efforts as our delivery organization scales.
• Adjust project plans proactively in response to changing priorities, customer needs, or evolving product capabilities.

Descrizione del lavoro

• We are seeking a Senior AI Project Manager to join our Customer Experience organization. In this role you will manage customer-facing software and AI delivery projects from initiation through closure, coordinating across technical and business teams to ensure clear communication, predictable execution, and a high-quality customer experience
• You will play a central role in driving delivery discipline across our most strategic enterprise engagements. This is a player-coach role, meaning you are equally comfortable rolling up your sleeves on the work itself as you are mentoring and elevating the people around you
• Manage software and AI delivery projects end to end, ensuring alignment with scope, timelines, and customer expectations across the full project lifecycle
• Build and maintain project plans, schedules, and core delivery documentation to support transparency and accountability across teams
• Communicate project status, risks, and dependencies clearly to enterprise customers and internal stakeholders, including executive leadership
• Coordinate cross-functional teams spanning Solutions Engineering, Product, and Customer Success through each phase of delivery
• Support escalation handling with professionalism and timely follow-through, serving as a steady point of contact for customers navigating complex deployments
• Contribute to PMO best-practice development and continuous improvement efforts as our delivery organization scales
• Adjust project plans proactively in response to changing priorities, customer needs, or evolving product capabilities

Effective stakeholder engagement skills, with demonstrated ability to operate across both technical and executive audiencesA player-coach mindset, with the ability to lead by example, stay close to the work, and develop the people around youStrong problem-solving and risk-management abilities, with a bias toward proactive communication over reactive escalationExperience delivering projects across Agile, Waterfall, or hybrid methodologies in technical or AI-adjacent environmentsPMP certification preferred5+ years managing customer-facing software or SaaS delivery projects, with a track record of successful enterprise-scale engagementsComfort identifying and tracking AI-specific risks including data quality issues, model behavior, and hallucination-related considerationsActive use of AI tools in daily work for automation, analysis, or documentationAbility to assess AI use cases at a foundational level and support evaluation of data readiness and model performance considerationsFamiliarity with prompt engineering concepts, AI governance basics, and guardrails as they relate to enterprise deploymentsExperience helping customers set realistic expectations across AI and generative AI implementationsExperience managing conversational AI, LLM, or NLU delivery projects in a customer-facing context