Microsoft's Marketing Innovation & Transformation team, within Commercial AI Customer Marketing, seeks marketers who can turn emerging possibilities into meaningful business impact. The team connects marketing strategy to business outcomes through storytelling and narrative, integrated commercial campaigns, customer evidence, and business and market intelligence. The role's primary focus will align with one of three areas: AI innovation and solutions; marketing transformation and adoption; or corporate and field alignment. Candidates may bring different combinations of marketing, technical, transformation, and strategic experience, and are not expected to be experts in every area. Across the opportunities, the role partners with corporate and field marketing teams to understand priorities, customer needs, workflow challenges, and improvement opportunities; translates ambiguous challenges into priorities, initiatives, and measurable outcomes; brings stakeholders across marketing, technology, data, and operations together to experiment and deliver; communicates recommendations through demonstrations, narratives, and executive briefings; and applies responsible innovation, security, and accessibility principles, using approved enterprise platforms where applicable. In AI innovation and solutions, the role designs, builds, demonstrates, and evaluates prototypes, agents, applications, and automations, using technical fluency and product marketing judgment to establish business value and transition validated solutions to partners for enterprise hardening and scale. In transformation and adoption, the role leads discovery, workflow redesign, requirements definition, and focused pilots, and develops change management, enablement, and upskilling programs to improve speed, productivity, quality, and cost. In corporate and field alignment, the role builds two-way relationships across corporate marketing, CMO organizations, planning stakeholders, and regional and local teams, translating market signals and execution challenges into recommendations that improve program relevance, asset usability, localization readiness, and field activation.
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Job Type
Full-time
Career Level
Senior