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About the Role
Builds and maintains structured business context for high-performing AI agents within enterprise domains like Design-to-Source, Merchandising & Inventory Management, Finance, or Supply Chain. Collaborates with Business teams and Technology partners to convert expert knowledge into governed, reusable context for AI agent development and improvement. This is a business process-focused role.
Responsibilities
- Owns the quality, completeness, and readiness of domain context for AI agents, partnering with the Director of Agentic Pipeline Management to meet stage-gate standards.
- Works directly with Designers, Technical Designers, Product Development, and Sourcing partners to capture tacit knowledge, decision logic, business rules, trade-offs, and exceptions through structured interviews, workshops, and observation.
- Creates clear business process documentation (process maps, decision frameworks, business rules, examples, edge cases) that turns how the business works into structured, reusable context for AI agents.
- Builds and maintains a domain business context library and knowledge architecture designed for reuse across agents.
- Establishes context governance and lifecycle management, including ownership, approvals, versioning, review cadences, and retirement of outdated or conflicting context.
- Partners with Product Management, Data Science, and Engineering to turn business context into agent requirements and evaluation scenarios; uses evaluation results and production feedback to improve the underlying context.
- Resolves conflicting expert input and flags context-readiness risks early, such as missing experts, conflicting policies, or poor source quality.
Requirements
- Business operator with a demonstrated understanding of end-to-end business processes in the relevant domain (design, product development, sourcing).
- Proven ability to decompose complex processes and expert decision-making and document them clearly as process maps, requirements, or decision frameworks; strong systems thinking.
- Strong facilitation and interviewing skills, with credibility among Designers, Technical Designers, Product Development, and Sourcing partners and the ability to challenge respectfully and resolve conflicting input.
- Working familiarity with AI agents, LLMs, context engineering, retrieval, and evaluation sufficient to partner with technical teams; deep technical expertise is not required.
- Proven partnership across Business, Product Management, Data Science, and Engineering, with the ability to create structure, standards, and reusable systems in ambiguity.
- Excellent written communication, with the ability to produce clear, precise process documentation and reusable knowledge artifacts.
- Retail or apparel industry experience is a plus.
- Experience with sourcing and product development systems (e.g., PLM) and data is a plus.
- Experience with governance, taxonomy, or knowledge architecture is a plus.
Skills
- Business process documentation
- Process mapping
- Decision frameworks
- Business rules
- Knowledge architecture
- Context governance
- Lifecycle management
- Facilitation
- Interviewing
- Systems thinking
- Written communication
- AI agents
- LLMs
- Context engineering
- Retrieval
- Evaluation
Location
- San Francisco
- New York
Work Type
- Full-time
- Onsite
Experience Level
- Director