Ai/llm Product Director - Executive Director

JPMorgan Chase JPMorgan Chase · Banking · Palo Alto, CA +1 · Commercial & Investment Bank

Product Director for AI/LLM initiatives, focusing on enterprise Search capabilities. The role involves overseeing the product roadmap, development, and execution of generative search solutions using technologies like RAG, Agents, SFT, and RLHF. Requires experience in the AI/LLM product lifecycle and operationalizing AI responsibly.

What you'd actually do

  1. Oversees the product roadmap, vision, development, execution, risk management, and business growth targets for both conventional and LLM-based generative search.
  2. 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.
  3. Partner with internal stakeholders, including business leaders, data scientists, engineers, and designers, to align requirements, define product features, and ensure successful product delivery.
  4. 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.
  5. 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.

Skills

Required

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

Nice to have

  • Search Product experience preferred
  • Experience in Financial Services or other highly regulated industries.

What the JD emphasized

  • 8+ years of building and launching AI / LLM products
  • Knowledge of AI/LLM and data product lifecycle
  • operationalizing AI products responsibly

Other signals

  • AI/LLM Product Director
  • enterprise Search capability incorporating AI/LLM
  • delivery of high-quality products
  • 8+ years of building and launching AI / LLM products
  • Knowledge of AI/LLM and data product lifecycle
  • operationalizing AI products responsibly