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Conversational AI Product Manager

Job in Purchase, Westchester County, New York, 10577, USA
Listing for: Morgan Stanley
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below

Join to apply for the Conversational AI Product Manager role at Morgan Stanley
.

Seeking a highly skilled and motivated Program Manager to join our Firmwide GenAI team. The Product Manager will play a crucial role in defining and executing the strategic vision for AI-powered chatbot solutions that transform how users interact with our platforms. This role is highly strategic and hands‑on, focused on leveraging advanced AI technologies – including large language models (LLMs) – to deliver scalable, secure, and human‑centric conversational experiences.

You will lead the roadmap for Conversational AI (CAI) innovation, ensuring alignment with business objectives and driving measurable impact across customer and internal workflows.

Seniority level:
Mid‑Senior level.

Employment type:

Full‑time. Job function:
Product Management and Marketing.

Key Responsibilities
  • Project Planning and Execution:
    Develop and maintain comprehensive project plan for Virtual Assistants (VA) initiatives, including timelines, milestones, and resources. Partner with Fleet Leadership and Product Owners to conduct current state analysis and set strategy.
  • Stakeholder Management:
    Work with internal stakeholders to prioritize key product features and business outcomes in alignment with strategy and budget.
  • Product Support:
    Build and maintain an Engagement & Adoption strategy and provide support for pilot and business launch.
  • Innovate with AI:
    Design and implement CAI solutions powered by LLMs, integrating them with enterprise systems, APIs, and human‑in‑the‑loop processes.
  • Risk Management:

    Identify potential risk and issues that may impact project delivery and develop mitigation strategies to address them proactively. Monitor project performance and implement corrective actions as necessary to ensure successful outcomes.
  • Cross‑Functional

    Collaboration:

    Collaborate with cross‑functional business and technology teams across the organization to drive alignment and successful project execution.
  • Performance Monitoring and Reporting:
    Track project performance metrics and KPIs to measure progress against objective and identify areas for improvement. Assist in the development of the target operating, service, and support models.
  • Continuous Improvement:
    Lead continuous improvement initiatives to optimize processes, increase efficiency, and enhance overall effectiveness of GenAI programs.
  • People Management:
    Manage a team providing support and guidance towards achieving business objectives.
Requirements
  • Experience:

    5–7 years in product management or related domain, with 2+ years leading AI/ML‑driven chatbot or conversational interface development.
  • Technical Expertise:
    Strong understanding of LLM concepts such as prompt engineering, retrieval‑augmented generation, agent orchestration, natural language processing.
  • Strategic Leadership:
    Proven ability to define product vision and execute in complex, matrixed organizations.
  • Analytical

    Skills:

    Proficiency in product analytics, experimentation, and data‑driven decision‑making.
  • Communication:
    Exceptional ability to simplify technical concepts for diverse audiences.
  • Adaptability:
    Ability to manage multiple priorities in fast‑paced, evolving environments.
Nice to have
  • Financial Services Industry experience.
  • Experience designing chatbot workflows that integrate LLMs with enterprise tools, APIs, and human review processes.
  • Familiarity with AI governance, compliance, and security frameworks.
  • Exposure to conversational design and conversational UX principles, and multi‑modal interfaces.
  • Track record of defining and reporting impact metrics (e.g., resolution rates, productivity improvements).
  • Experience with Kore.ai or related Conversational AI platforms (Dialogflow, IBM Watson, etc.), OpenAI technology and Lang Chain frameworks.
  • Experience with Natural Language Understanding, Knowledge Graphs, and LLM concepts.
What You Can Expect From Morgan Stanley

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values – putting clients first, doing the right thing, leading with exceptional ideas, committing to…

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