Senior Technical Product Marketing Manager - Microsoft Copilot

Microsoft•Redmond, WA
•$106,400 - $203,600

About The Position

The Senior Technical Product Marketing Manager on Microsoft’s Copilot Marketing team investigates Microsoft Copilot and related AI experiences through hands-on product evaluation and analysis of realistic customer workflows. The role assesses product capabilities, quality, performance, usability, and differences across experiences, including commercial offerings and customer cost considerations. Findings are translated into evidence-based explanations of AI capabilities and value, with appropriate attention to limitations and economic trade-offs. The role uses code, APIs, developer tools, and analytical workflows as needed, and partners closely with product and engineering teams to validate technical understanding. It develops substantiated customer-facing claims and narratives, prepares evaluation summaries, product explanations, FAQs, and demonstration guidance, and synthesizes findings for senior leadership. It also monitors changes in AI experiences and commercial offerings and refreshes evaluations and guidance as evidence evolves. The position is an individual-contributor Product Marketing IC4 role.

Requirements

  • Master’s degree in Marketing, Computer Science, Business, or a related field and 3+ years of experience in business; or bachelor’s degree in one of those fields and 5+ years of experience in business; or equivalent experience.
  • Strong understanding of generative AI, large language models (LLMs), agents, and AI product experiences.
  • Experience with hands-on AI product evaluations, comparative testing, or experimentation across realistic customer workflows.
  • Experience with subscription and consumption-based business models, cloud services, or AI economics.
  • Technical fluency with code, APIs, structured data, JSON, and developer tools, and experience applying them to product investigation or analysis.
  • Experience translating technical evaluation findings into substantiated product claims and accessible customer narratives about performance and value.
  • Ability to independently investigate AI product experiences, assess supporting evidence, and communicate findings and limitations responsibly.
  • Strong analytical and technical communication skills, including the ability to explain product differences and economic considerations to non-technical audiences.
  • Demonstrated ability to collaborate closely with engineering and product teams and work across research, finance, legal, and marketing organizations.

Nice To Haves

  • Bachelor’s degree and 8+ years of experience, or master’s degree and 6+ years of experience.

Responsibilities

  • Lead hands-on technical investigation of AI product experiences and develop a deep understanding of their capabilities, behavior, and customer workflows.
  • Conduct comparative product evaluations in realistic customer scenarios to assess quality, performance, usability, and differences across AI experiences.
  • Analyze product capabilities alongside commercial offerings and customer cost considerations to explain AI value clearly and responsibly.
  • Assess the cost of achieving customer outcomes across common usage scenarios and develop substantiated guidance on customer investment and value.
  • Use code, APIs, developer tools, and analytical workflows as needed to support product investigation and evaluation.
  • Maintain clear documentation of findings and explore AI products through interfaces, technical documentation, and APIs where relevant.
  • Partner with product and engineering teams to investigate findings and validate technical understanding.
  • Identify evaluation insights that support meaningful customer-facing claims about capabilities, performance, and value.
  • Develop evidence-grounded product claims and narratives, and work with cross-functional stakeholders to ensure accuracy and appropriate qualification before publication.
  • Synthesize complex findings into concise insights for senior leadership, including key takeaways, implications, and trade-offs.
  • Translate technical findings into evaluation summaries, product explanations, FAQs, and demonstration guidance for customers.
  • Stay current on changes in AI product experiences and commercial offerings, and refresh evaluations and customer-facing guidance as evidence evolves.
  • Embody Microsoft’s culture and values.

Benefits

  • Benefits and other compensation may be available for certain roles; specific benefits are not listed in the posting.
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