JPMorgan LLM Product Manager - Senior Associate 

United States, California, Palo Alto 

365606340

As a Product Associate in Global Banking (GB), you will assist in delivering a business-friendly, best-in-class enterprise Search capability incorporating the latest technologies (including AI/LLM) and applying best practices. You are expected to support the design and architecture of the solutions while focusing on various stages of the Software Development Lifecycle (SDLC).

Job Responsibilities

• Assist in developing and communicating a clear product vision and strategy for both conventional Search and Large Language Model (LLM)-based conversational User Interface (UI) initiatives within GB. Align product goals with business objectives and market needs.
• Leverage a wide range of cutting-edge technologies such as Semantic Search, Personalized Search, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), and Agents to enhance user experiences.
• Incorporate established search methodologies and technologies, including Boolean Search, Keyword Search, Faceted Search, and Full-Text Search, to improve overall search capabilities and user experience.
• Collaborate with internal stakeholders, including business leaders, data scientists, engineers, and designers, to gather requirements, define product features, and ensure successful product delivery.
• Oversee the integration and release of Search and LLM technologies into GB products and services. Ensure that solutions are scalable, secure, and compliant with regulatory requirements.
• Help define and track key performance indicators (KPIs) to measure the success of Search and LLM products. Use data-driven insights to support informed decisions and drive continuous improvement.

Required Qualifications, Capabilities, and Skills

• 1-3+ years of experience in Search / LLM product management or analytics.
• Strong collaboration skills, with the ability to positively influence technology teams and stakeholders.
• Knowledge of AI/LLM and data product lifecycle, including discovery, data processing, model development, model deployment, and model monitoring.
• Familiarity with ElasticSearch, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), RAG, and Agents.
• Knowledge of LLM frameworks such as LangChain, LangGraph, and OpenLLM.
• Understanding of operationalizing AI products responsibly through MLOps pipeline.
• Basic expertise in Cloud computing and architecture (e.g., AWS).

Preferred Qualifications, Capabilities, and Skills

• Experience in Financial Services or other highly regulated industries.