ASAPP

Senior AI Project Manager

ASAPP$190K — $200K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience managing customer-facing software or SaaS delivery projects
  • Proven track record in enterprise-scale project delivery
  • Experience with Agile, Waterfall, or hybrid methodologies
  • Strong problem-solving and risk-management skills
  • Exceptional stakeholder engagement abilities across technical and executive levels
  • Player-coach mindset with a focus on mentorship
  • PMP certification preferred

Responsibilities

  • Manage software and AI delivery projects from initiation to closure
  • Build and maintain transparent project plans, schedules, and documentation
  • Clearly communicate project status and risks to stakeholders
  • Coordinate cross-functional teams for project delivery phases
  • Handle escalations professionally, assisting customers through complex deployments
  • Contribute to the development of PMO best practices
  • Proactively adjust project plans based on changing needs

Benefits

  • Performance bonus on top of salary
  • Equity grant with stock options
  • Comprehensive medical, vision, and dental insurance
  • 401k matching available
  • Fitness and wellness stipend
  • Mental well-being benefits
  • Professional learning and development stipend
  • Generous parental leave policies
  • 3 weeks paid time off, increasing with tenure
Full Job Description
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. What you'll do 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. What you'll need 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 A player-coach mindset, with the ability to lead by example, stay close to the work, and develop the people around you PMP certification preferred What we'd like to see 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 $190,000 - $200,000 a year Compensation package also includes a performance bonus on top of the listed salary range Separately, we also offer a compelling equity grant comprised of stock options Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) along with sick leave, bereavement and jury duty

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