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The Role
Leads the creation, governance, and maintenance of structured business context for AI agents. Captures expert knowledge, decision logic, business rules, processes, and exceptions from business partners; builds reusable context libraries and knowledge architecture; establishes lifecycle governance; and partners with Product, Data Science, and Engineering on agent requirements and evaluation. The role also resolves conflicting input, identifies readiness risks, and improves context using evaluation and production feedback.
Summary Generated by Built In
About the RoleThe Director of Domain Context Management builds and maintains the structured business context enabling high-performing AI agents within a defined enterprise domain, such as Design-to-Source, Merchandising & Inventory Management, Finance, or Supply Chain. Working directly with Business teams and key Technology partners, this leader documents how the business works and converts expert knowledge, including tacit judgment, decision logic, and exceptions, into governed, reusable context that technical teams use to build, evaluate, and improve agents. This is a business process role, not a technology role.
This position is based full time in office at our San Francisco or New York hub.What You'll Do
This position is based full time in office at our San Francisco or New York hub.What You'll Do
- Own the quality, completeness, and readiness of domain context for AI agents, partnering with the Director of Agentic Pipeline Management to meet stage-gate standards
- Work 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.
- Create 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
- Build and maintain a domain business context library and knowledge architecture designed for reuse across agents
- Establish context governance and lifecycle management, including ownership, approvals, versioning, review cadences, and retirement of outdated or conflicting context.
- Partner with Product Management, Data Science, and Engineering to turn business context into agent requirements and evaluation scenarios; use evaluation results and production feedback to improve the underlying context.
- Resolve conflicting expert input and flag context-readiness risks early, such as missing experts, conflicting policies, or poor source quality.
- 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.
- Plus: retail or apparel industry experience; experience with sourcing and product development systems (e.g., PLM) and data; experience with governance, taxonomy, or knowledge architecture.
Skills Required
- Demonstrated understanding of end-to-end business processes in design, product development, or sourcing
- Ability to decompose complex processes and expert decision-making into process maps, requirements, or decision frameworks
- Strong systems thinking
- Strong facilitation and interviewing skills
- Ability to challenge respectfully and resolve conflicting input
- Working familiarity with AI agents, LLMs, context engineering, retrieval, and evaluation
- Experience partnering across Business, Product Management, Data Science, and Engineering
- Ability to create structure, standards, and reusable systems in ambiguity
- Excellent written communication and process documentation skills
- Retail or apparel industry experience
- Experience with sourcing and product development systems such as PLM and related data
- Experience with governance, taxonomy, or knowledge architecture
Gap (gapinc.com). Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gap (gapinc.com). and has not been reviewed or approved by Gap (gapinc.com)..
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is offered, alongside programs that support physical, mental, and financial wellbeing. Feedback suggests eligible employees can also leverage tools like FSAs and additional wellbeing resources.
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Leave & Time Off Breadth — Paid time off, company-paid holidays, and multiple leave options (sick, disability, and family leave) create broad time-away coverage. Some roles start with substantial PTO accrual and can access flexible leave arrangements.
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Wellbeing & Lifestyle Benefits — A generous cross-brand merchandise discount is a standout perk, complemented by commuter benefits, on-the-clock volunteer hours, and matching donations. Feedback suggests these lifestyle benefits add meaningful value beyond base pay.
Gap (gapinc.com). Insights
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The Company
What We Do
In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands. Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco. Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next. Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead. We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.
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