AI/LLM Product Director - Executive Director

Job Responsibilities

• Oversees the product roadmap, vision, development, execution, risk management, and business growth targets for both conventional and LLM-based generative search.
• 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.
• Partner with internal stakeholders, including business leaders, data scientists, engineers, and designers, to align 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.
• Coach and mentor the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives.

Required Qualifications, Capabilities, And Skills

• 8+ years of building and launching AI / LLM products.
• 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).

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

ABOUT THE TEAM

J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors. Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.