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Salary
$190k – $200k per year
Location
Hybrid (New York, Mountain View, United States)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Sep 9, 2026. ASAPP scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Our artificial intelligence and machine learning products deliver automation and human augmentation, allowing individuals and organizations to realize their full potential. Today, the world's largest organizations rely on ASAPP to provide amazingly efficient and effective customer experiences through their Contact Centers. Our Research & Development team is unparalleled, driving the advancement of AI, machine learning, speech recognition, robotic process automation, natural language processing and more.

At ASAPP, our mission is simple: deliver the best AI-powered customer experience, faster than anyone else. To achieve that, we're guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.

We're seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it's Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India. This role is hybrid, based out of either our New York City or Mountain View office, and candidates should be comfortable coming in two to three days a week. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we'd love to talk. This is more than a job, it's a journey.

We are seeking a Manager of AI Project Management to join our Delivery 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

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