Responsibilities

• Define the commerce content strategy: Develop and evolve the content strategy for Microsoft Store and priority Microsoft.com commerce experiences, aligned to customer needs, business goals, and global scale.
• Create reusable content models: Design scalable frameworks for common customer needs, including frequently asked questions, comparisons, buying guides, product-value frameworks, use-case guidance, and recommendation experiences.
• Define product-knowledge requirements and establish product truth: Define how product claims, terminology, attributes, relationships, use cases, and comparisons should be represented consistently across customer experiences.
• Design human and machine decision journeys: Translate customer questions, product complexity, and journey friction into clear buying guidance, decision-support experiences, and product-knowledge requirements.
• Lead content and commerce taxonomy strategy: Define the terminology, categories, attributes, and relationships used to organize commerce content. Partner with Search on query intent, synonyms, retrieval, filters, and relevance; with UX on information architecture; and with product-data teams on authoritative specifications and source systems.
• Partner with SEO and AI SEO: Convert search demand, customer questions, visibility gaps and citation opportunities into prioritized content strategies.
• Improve content quality and consistency: Establish standards and governance for terminology, naming, comparison logic, freshness, accuracy, and ownership across marketing and merchandising experiences.
• Simplify customer decision-making: Lead audits to identify content gaps, duplication, conflicting product information, and opportunities to make complex choices easier to understand.
• Use data to improve the experience: Apply customer signals, content performance, search insights, and experimentation to determine which content patterns improve discovery, comprehension, comparison, conversion, and long-term customer value.
• Advance AI-enabled experiences responsibly: Ensure product knowledge is clear, structured and reliable enough to support Search, conversational experiences, and emerging shopping agents without compromising accuracy or customer trust.

Requirements

• Master's Degree in Business, Marketing, Economics, Social Science, Computer Science, Information Technology, Communications, Liberal Arts, or related field AND 3+ years experience in retail, customer service, ecommerce, data science, research, marketing or business-related roles OR Bachelor's Degree in Business, Marketing, Economics, Social Science, Computer Science, Information Technology, Communications, Liberal Arts, or related field AND 4+ years experience in retail, customer service, ecommerce, data science, research, marketing or business-related roles OR equivalent experience.

Preferred

• 7+ years of experience in content strategy, content design, information architecture, taxonomy, ecommerce, digital product management or related roles.
• Experience defining content strategy and governance for complex global digital experiences.
• Experience with product taxonomy, content modeling, structured content, information architecture or product-knowledge systems.
• Understanding of ecommerce discovery, evaluation, comparison and purchase journeys.
• Working knowledge of search engine optimization, AI-search optimization and AI-influenced customer discovery.
• Experience using customer research, performance data and experimentation to inform content or product decisions.
• Experience translating content and customer-experience requirements into specifications for technical or product teams.
• Practical experience using AI to research, prototype, analyze or improve content and digital workflows.
• Demonstrated ability to influence senior stakeholders and deliver results across large, matrixed organizations.
• Ability to move between strategy, detailed problem-solving and hands-on experimentation.