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Senior Technical Product Marketing Manager - Microsoft Copilot

Swiftkey

Mountain View, CAJobPosted todayStill listed today

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At a glance

Compensation
No compensation found
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Technical Product Marketing Manager will investigate AI product experiences, compare capabilities and performance across customer scenarios, and assess customer costs and value. The role translates evaluation evidence into substantiated product claims, customer-facing explanations, FAQs, and demonstration guidance. It also partners with product, engineering, and cross-functional teams to validate findings and communicates implications and trade-offs to senior leadership.

Skills & qualifications

RequiredNice to have

Skills

Generative AILarge Language ModelsAI AgentsAI Product EvaluationComparative TestingExperimentationSubscription Business ModelsConsumption-Based Business ModelsCloud ServicesAI EconomicsCodeAPIsStructured DataJSONDeveloper ToolsProduct InvestigationProduct AnalysisProduct ClaimsCustomer NarrativesAnalytical CommunicationTechnical CommunicationCross-Functional Collaboration

Qualifications

Master's in Marketing, CS, Business or Related +3 Yrs Business or Bachelor's in Marketing, CS, Business or Related +5 Yrs or Equivalent ExperienceBachelor's +8 Years or Master's +6 Years Experience

Full job description

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.. 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. 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.

How this job compares

Set against the 2,830 open Product Marketing jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This postingNot listed
  • California median$160–225K/yr573 salary ranges
  • US median$28–41/hr49 hourly ranges
Openings
Olive Jobs lists 741 open Product Marketing jobs in California and 2,830 across the US. 11% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 3 years of experience — less than three in four Product Marketing postings that state a minimum ask for (median 6 years, across 2,423 postings).
Education
728 of the 2,830 open Product Marketing jobs (26%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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