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ASAPP is seeking a Senior AI Project Manager to join the Customer Experience organization. This is a hybrid role based in either New York City or Mountain View, requiring 2-3 days per week in office.
In this player-coach 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 high-quality customer experience. You will drive delivery discipline across strategic enterprise engagements while remaining hands-on with the work itself.
Key Responsibilities:
- 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
- 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 the delivery organization scales
- Adjust project plans proactively in response to changing priorities, customer needs, or evolving product capabilities
ASAPP's mission is to deliver the best AI-powered customer experience faster than anyone else, guided by principles of customer obsession, purposeful speed, ownership, and relentless focus on outcomes. The company operates globally with hubs in New York City, Mountain View, Latin America, and India.
Requirements:
- 5+ years managing customer-facing software or SaaS delivery projects with a track record of successful enterprise-scale engagements
- Experience delivering projects across Agile, Waterfall, or hybrid methodologies in technical or AI-adjacent environments
- Strong problem-solving and risk-management abilities, with a bias toward proactive communication over reactive escalation
- Effective stakeholder engagement skills, with demonstrated ability to operate across both technical and executive audiences
- Player-coach mindset with ability to lead by example, stay close to the work, and develop people around you
- PMP certification preferred
Nice-to-Have:
- Experience managing conversational AI, LLM, or NLU delivery projects in a customer-facing context
- Ability to assess AI use cases at a foundational level and support evaluation of data readiness and model performance considerations
- Familiarity with prompt engineering concepts, AI governance basics, and guardrails as they relate to enterprise deployments
- Experience helping customers set realistic expectations across AI and generative AI implementations
- Comfort identifying and tracking AI-specific risks including data quality issues, model behavior, and hallucination-related considerations
- Active use of AI tools in daily work for automation, analysis, or documentation
