Senior Marketing Manager, AI Innovation & Transformation

Microsoft•Redmond, WA
•$106,400 - $222,600

About The Position

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.

Requirements

  • Master's degree in Marketing, Business, Communications, Computer Science, or a related field and 3+ years of experience in marketing, product marketing, marketing programs, business transformation, field marketing, technology solutions, or related work; or bachelor's degree in one of those fields and 5+ years of such experience; or equivalent experience.
  • Demonstrated success turning complex or ambiguous business challenges into practical solutions and measurable outcomes.
  • Strong communication, collaboration, and stakeholder-management skills, including ability to influence across teams without direct authority.
  • Ability to use qualitative and quantitative evidence to prioritize opportunities, evaluate results, and communicate business impact.

Nice To Haves

  • Hands-on experience building technical demonstrations, AI workflows, agents, or applications using platforms such as Azure, Microsoft Foundry, Azure OpenAI, or Copilot Studio.
  • Experience with AI-assisted development tools, APIs, Python or TypeScript/JavaScript, agent orchestration, evaluation, and responsible AI.
  • Experience in change management, process improvement, service design, workflow mapping, pilot delivery, or enterprise AI enablement, including Microsoft 365 Copilot adoption.
  • Ability to establish baselines, build ROI cases, and measure sustained behavior change.
  • Experience with corporate-to-field planning, campaigns, content activation, localization, or scalable voice-of-field programs.
  • Ability to synthesize competing needs and translate feedback into decisions and practical action.
  • Experience working in a global, matrixed organization and communicating with senior stakeholders.

Responsibilities

  • Partner with corporate and field marketing teams to understand business priorities, customer needs, workflow challenges, and opportunities for improvement.
  • Turn ambiguous challenges into clear priorities, practical initiatives, and measurable outcomes.
  • Bring stakeholders across marketing, technology, data, and operations together to experiment, learn, and deliver.
  • Communicate ideas, evidence, and recommendations through demonstrations, narratives, and executive briefings.
  • Apply responsible innovation, security, and accessibility principles, using approved enterprise platforms where applicable.
  • For AI innovation and solutions: design, build, demonstrate, and evaluate prototypes, agents, applications, and automations; establish business value; and transition validated solutions to partners for enterprise hardening and scale.
  • For marketing transformation and adoption: lead discovery, rethink workflows, translate needs into actionable requirements, run focused pilots, and develop change management, enablement, and upskilling programs.
  • For corporate and field alignment: build two-way relationships across corporate marketing, CMO organizations, planning stakeholders, and regional and local teams; translate market signals and execution challenges into actionable recommendations to improve program relevance, asset usability, localization readiness, and field activation.
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