Conversational AI Product Manager

Morgan Stanley•New York, NY

17h•$120,000 - $205,000

About The Position

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.

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 Haves

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 LangChain frameworks.
Experience with Natural Language Understanding, Knowledge Graphs, and LLM concepts.

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.