Jeffrey Baker
Lead Product Manager Ai Efficiency @Florida Blue
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WORK HISTORY
Lead Product Manager Ai Efficiency @Florida Blue
Jacksonville, FL, US
Lead exploration and development of AI-driven operational tools designed to reduce administrative burden and improve internal productivity.• Designed and prototyped AI-driven workflows using internally hosted LLMs to optimize processes across finance and operational teams.• Built prototype systems that orchestrate structured LLM reasoning to automate data analysis and presentation development.• Developed SlideForge, an AI-driven workflow that performs structured data analysis and generates presentation-ready outputs.• Developed Luminary Insight Engine, a prototype insight-generation system combining external research signals and internal data sources.• Implemented data ingestion and reasoning pipelines using Google Cloud tools including Vertex AI, Vector Search, Cloud Storage, and JSONL-based batch workflows.
EDUCATION
Florida State University
BS
SKILLS
ABOUT JEFFREY BAKER
WHAT I AM KNOWN FORI’m a product leader focused on turning emerging technologies, especially AI and LLM systems, into practical tools organizations can actually use.My work sits at the intersection of product, engineering, and operations. I specialize in designing systems that ingest messy real-world data, structure it through automation or AI pipelines, and produce outputs teams can use to make better decisions.In recent years I’ve been building and prototyping AI-driven systems that combine LLM reasoning, structured data pipelines, and workflow automation. These systems transform large volumes of unstructured signals, research, customer feedback, and operational data, into structured outputs that accelerate analysis and decision-making.Before focusing on AI systems, much of my career centered on experimentation, digital platforms, and large-scale customer signal analysis. I’ve led initiatives ranging from enterprise listening platforms processing millions of customer interactions annually to ecommerce experimentation programs that drove significant revenue growth.I’m known for bridging product strategy and engineering execution, working closely with developers to translate ambiguous technical opportunities into deployable systems.Areas of focus: • AI product systems and LLM workflows• Data ingestion pipelines and insight generation• Product experimentation and operational efficiency• Customer signal analysis and decision intelligence• Cross-functional collaboration between product and engineering
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