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Senior Technical Product Marketing Manager - AI Automation

Microsoft· Product Marketing
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Redmond, WA, New York, NY, Atlanta, GA, Mountain View, CA$106.4k - $203.6kFull-timePosted 4d ago

About the role

Senior Technical Product Marketing Manager to reinvent how Microsoft Copilot is evaluated, validated, and improved through AI automation. Build agents, applications, scripts, and workflows to automate end-to-end evaluation, surface actionable insights, and enable sellers to demonstrate Copilot value. Hands-on builder skilled in product/platforms, AI/automation, and cross-team collaboration.

Responsibilities

  • Build AI agents, applications, and automated workflows that accelerate product testing, competitive evaluation, validation, and readiness assessment.
  • Orchestrate the automation of end-to-end evaluation process—from test setup and execution through scoring, validation, analysis, and reporting.
  • Detect failures, regressions, inconsistencies, and anomalies at scale, with clear mechanisms for human review where judgment matters.
  • Prototype agentic evaluation approaches—including agents that test other agents—and rapidly move the strongest concepts into production workflows.
  • Turn evaluation signals into actionable product and competitive insights that shape prioritization, readiness, differentiation, and customer experience.
  • Scale AI automation across the organization through reusable tools, templates, documentation, responsible practices, and hands-on technical leadership.

Qualifications

  • Master's Degree in Marketing, Computer Science, Business or related field AND 3+ years experience in business OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business OR equivalent experience.
  • Bachelor’s Degree AND 8+ years experience, OR Master’s Degree AND 6+ years experience
  • Experience building AI agents, agentic workflows, or prototypes using code, APIs, structured data, JSON, and developer tools.
  • Strong understanding of generative AI, LLMs, agents, and AI product experiences.
  • Experience with AI evaluation, quality measurement, experimentation, or automated testing, including concepts such as automated graders, human evaluation, judge models, benchmarks, and regression testing.
  • Strong analytical skills and the ability to design systematic approaches to testing and validation.
  • Excellent written and verbal communication skills, with the ability to make complex technical concepts clear to non-technical audiences.
  • Demonstrated ability to operate across product, engineering, research, and marketing organizations.

Skills

Required:AI agent developmentGenerative AI / LLMsAI evaluation & testingCross-functional collaborationCommunication
Last updated Oct 23, 2026. Interested? Apply on the company site.

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