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Microsoft Senior Product Manager United States, Washington 309143238
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As a Senior Product Manager on Dataverse team, you will play a pivotal role in shaping the future of our Dataverse, with a specific emphasis on harnessing the power of generative AI and GPT technologies. You will be at the forefront of innovation, driving the integration of cutting-edge AI capabilities into Skills & knowledge in copilots for Dynamics 365, Power Platform & Microsoft Copilot studio experiences. Your responsibilities will include crafting and executing a comprehensive product strategy, building experiences, defining roadmaps, and identifying growth opportunities that leverage the unique potential of generative AI and GPT models and applying them to business applications as a SaaS capability
- Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development
- OR equivalent experience.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
- Product Strategy: Develop and execute a comprehensive product strategy that aligns with the company's vision and goals.
- Define product roadmaps, identify growth opportunities, and anticipate market trends to maintain a competitive edge.
- AI Integration: Leverage your expertise in artificial intelligence to drive the integration of cutting-edge AI technologies into our Dataverse & AI Builder platform.
- Collaborate with data scientists and engineers to ensure AI features are effectively implemented.
- User Experience: Champion the user experience by constantly seeking ways to improve product usability and customer satisfaction. Gather user feedback, conduct usability testing, and make data-driven decisions.
- Understand consumption patterns and user journeys within the product and the ecosystem to create new and engaging experiences.
- Cross-functional Collaboration: Work closely with cross-functional teams, including engineering, design, marketing, and sales, to bring AI products to market successfully. .
- Market Research: Conduct in-depth market research to understand customer needs, competition, and emerging trends. Use market insights to inform product development and feature prioritization.
- Product Lifecycle Management: Define product requirements, prioritize features, and manage product releases and updates.
- Data-Driven Decision Making: Utilize data analytics and KPIs to make informed decisions and continuously improve the product's performance and user satisfaction.
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