
10.000+ funcionários
Fundada em 1969
📦 Logística
👗 Moda
🛒 Varejo
💰 Post-IPO Debt em 2020-05
Logistics • Fashion • Retail
A Gap Inc., uma casa de marcas icônicas, é a maior empresa de vestuário especializado dos Estados Unidos. Suas marcas Old Navy, Gap, Banana Republic e Athleta oferecem roupas, acessórios e produtos de lifestyle para homens, mulheres e crianças. Desde 1969, a Gap Inc. cria produtos e experiências que moldam a cultura, enquanto atua corretamente com seus funcionários, comunidades e o planeta. Os produtos da Gap Inc. estão disponíveis mundialmente por meio de lojas operadas pela empresa, lojas franqueadas e sites de e-commerce. As vendas líquidas do ano fiscal de 2023 foram de US$ 14,9 bilhões. Para mais informações, visite www.gapinc.com.
🕒 Junho 5
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
Fundada em 1969
📦 Logística
👗 Moda
🛒 Varejo
💰 Post-IPO Debt em 2020-05
Logistics • Fashion • Retail
A Gap Inc., uma casa de marcas icônicas, é a maior empresa de vestuário especializado dos Estados Unidos. Suas marcas Old Navy, Gap, Banana Republic e Athleta oferecem roupas, acessórios e produtos de lifestyle para homens, mulheres e crianças. Desde 1969, a Gap Inc. cria produtos e experiências que moldam a cultura, enquanto atua corretamente com seus funcionários, comunidades e o planeta. Os produtos da Gap Inc. estão disponíveis mundialmente por meio de lojas operadas pela empresa, lojas franqueadas e sites de e-commerce. As vendas líquidas do ano fiscal de 2023 foram de US$ 14,9 bilhões. Para mais informações, visite www.gapinc.com.
• Drive the vision, design, and execution of an integrated technology architecture that powers seamless, intelligent, and personalized customer experiences across all digital and physical touchpoints. • Champion the use of Agentic Commerce patterns—autonomous shopping agents, proactive assistant bots, and AI-driven fulfillment orchestration—to create frictionless, next-gen shopping experiences. • Design intelligent, AI-augmented experiences that integrate predictive personalization, dynamic pricing, virtual styling, conversational commerce, and autonomous checkout journeys. • Integrate commerce ecosystems with real-time decision engines, customer data platforms (CDPs), recommendation systems, and AI models to drive adaptive journeys. • Partner with product, engineering, and data science teams to implement AI across the customer lifecycle—from acquisition and engagement to loyalty and retention. • Define architectural principles to scale AI/ML use cases, leveraging cloud-native platforms (GCP, AWS), serverless models, and data mesh strategies. • Architect future-ready, omnichannel commerce platforms supporting unified experiences such as BOPIS, Same-day Delivery, and Endless Aisle. • Ensure architecture enables real-time signals processing (e.g., clickstream, IoT, POS), contextual understanding, and action-triggering across commerce surfaces. • Lead architectural reviews and governance for AI-based and connected commerce projects. • Guide experimentation with GenAI, LLMs, and autonomous agents in commerce, marketing, and fulfillment use cases. • Collaborate with data, privacy, and compliance teams to align AI-powered experiences with data governance and ethical AI frameworks.
• Bachelor’s degree in computer science, Engineering, or related field; Master’s preferred. • 10+ years of architecture, with at least 5+ years in commerce or omnichannel large scale transformation roles. • Demonstrated experience architecting and delivering commerce platforms across: Headless eCommerce (Shopify, Salesforce Commerce, etc.) • Digital Experience Platforms (CMS, DAM, PIM) • Customer Data Platforms (CDPs), Loyalty & Personalization Engines • Retail POS, OMS, and Fulfillment Systems • Deep knowledge of cloud-native architectures, microservices, event-driven systems (Kafka, GCP Pub/Sub), and serverless patterns. • Experience integrating AI/ML services into customer-facing applications, preferably in real-time or large-scale environments • Experience with Agentic AI frameworks or commerce focused LLMs. • Familiarity with AI platforms like Vertex AI, Amazon Bedrock, Azure OpenAI, or similar. • Working knowledge of data pipelines, model deployment (MLOps), and experimentation platforms. • Exposure to composable commerce and MACH (Microservices, API-first, Cloud-native, Headless) architecture. • Retail, CPG, or DTC brand experience with personalization and omnichannel engagement initiative • Strategic mindset with a strong grasp of emerging tech and its impact on business. • Excellent communication and storytelling skills—especially around complex AI and tech-driven business value. • Ability to balance short-term business needs with long-term Gap’s Architecture vision. • Highly collaborative with a passion for innovation, experimentation, and user-centered design. • Comfortable driving clarity and structure in ambiguous and fast-moving environments.
• Flexible working arrangements • Professional development
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