Senior Technical Product Marketing Manager - Microsoft Copilot
Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Oct 30, 2026. Microsoft scores B on the Alion truth index.
As AI becomes part of everyday work, customers need a clear understanding of its capabilities and value. This role brings hands-on product investigation, technical evaluation, and analytical rigor to that challenge.
The Copilot Marketing team is looking for a highly technical, AI-forward Senior Technical Product Marketing Manager to assess Microsoft Copilot and related AI experiences across realistic customer workflows. You will evaluate capabilities, quality, and performance, explore differences across experiences, and translate evidence into clear explanations, including the economic considerations that matter to customers.
You will partner closely with product and engineering teams to validate findings and translate them into clear, substantiated content that helps customers understand differences across AI experiences and their overall value. The role calls for technical curiosity, sound judgment, and the ability to make detailed product knowledge accessible and useful.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Lead hands-on technical investigation of AI product experiences, developing a deep understanding of capabilities, product behavior, and customer workflows.
- Conduct comparative product evaluations across realistic customer scenarios to understand quality, performance, usability, and meaningful 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 translate findings into clear, 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.
- Explore AI products directly through product interfaces, technical documentation, and APIs where relevant. Partner with product and engineering teams to investigate findings and validate technical understanding.
- Identify insights from product evaluations that can support meaningful customer-facing claims about capabilities, performance, and value.
- Develop clear, substantiated product claims and narratives grounded in evaluation evidence. Partner with cross-functional stakeholders to ensure accuracy and appropriate qualification before publication.
- Synthesize complex evaluation findings into clear, concise insights for senior leadership, highlighting key takeaways, implications, and trade-offs to inform decisions.
- Translate technical findings into evaluation summaries, product explanations, FAQs, and demonstration guidance that help customers understand AI experiences and make informed decisions.
- Stay current on changes in AI product experiences and commercial offerings, and refresh evaluations and customer-facing guidance as evidence evolves..
- Embody our Culture & Values
Qualifications
Required/minimum qualifications
- Master's Degree in 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.
Additional or preferred qualifications
- Bachelor’s Degree and 8+ years of experience, or Master’s Degree and 6+ years of experience.
- Strong understanding of generative AI, 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, with 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, with the ability to explain product differences and economic considerations to non-technical audiences.
- Demonstrated ability to collaborate closely with engineering and product teams while working across research, finance, legal, and marketing organizations.
Product Marketing IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.