Conversational AI Product Manager

Morgan Stanley•Harrison, NY

3d•$120,000 - $205,000

About The Position

Conversational AI Product Manager 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. 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. 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. 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 diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $120,000 and $205,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Requirements

5 - 7 years in product management or related domain, with 2+ years leading AI/ML-driven chatbot or conversational interface development.
Strong understanding of LLM concepts such as prompt engineering, retrieval-augmented generation, agent orchestration, natural language processing.
Proven ability to define product vision and execute in complex, matrixed organizations.
Proficiency in product analytics, experimentation, and data-driven decision-making.
Exceptional ability to simplify technical concepts for diverse audiences.
Ability to manage multiple priorities in fast-paced, evolving environments.
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

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.
Work with internal stakeholders to prioritize key product features and business outcomes in alignment with strategy and budget.
Build and maintain an Engagement & Adoption strategy and provide support for pilot and business launch.
Design and implement CAI solutions powered by LLMs, integrating them with enterprise systems, APIs, and human-in-the-loop processes.
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.
Collaborate with cross-functional business and technology teams across the organization to drive alignment and successful project execution.
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.
Lead continuous improvement initiatives to optimize processes, increase efficiency, and enhance overall effectiveness of GenAI programs.
Manage a team providing support and guidance towards achieving business objectives.