Responsibilities

• Structure prompt-aware content to ensure AI agents respond accurately, determining where they require deterministic context versus Large Language Model (LLM) reasoning.
• Organize, tag, and chunk internal data to optimize Retrieval-Augmented Generation (RAG) systems for instant, precise retrieval.
• Analyze failed runs and awkward handoffs to identify context gaps, implementing real-time fixes to the agent's knowledge base.
• Bridge departments by harvesting and translating functional knowledge from product, legal, and brand into structured, agent-digestible formats.
• Drive alignment among cross-functional leaders with conflicting goals to advocate for durable, long-term product experience strategies that mitigate unintentional harm.

Requirements

• Bachelor's degree or equivalent practical experience.
• 9 years of experience in UX, or design setting, or a related field.
• Experience working cross-functionally with various stakeholders and teams.
• Experience in systems design, data pipeline management, and driving design and adoption of legacy marketing technology (martech).

Preferred

• Direct experience integrating LLMs or agentic tools into production-ready web environments or growth-focused workflows.
• Deep expertise in martech architectures or growth-focused AI applications, such as autonomous journey orchestration or algorithmic brief generation.
• Expertise in organizing and tagging complex datasets for semantic search and retrieval systems.
• Proven track record of defining and driving long-term product strategy in highly ambiguous environments where no precedent exists.
• Proficiency in engineering the underlying logic of agentic workflows and working with model APIs/toolchains.