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As the Principal 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.
Required Qualifications:
Other Requirements:
Preferred Qualifications:
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 closely 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.
•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:Oversee the entire product lifecycle, from concept to end-of-life. Define product requirements, prioritize features, and manage product releases and updates.
•Utilize data analytics and KPIs to make informed decisions and continuously improve the product's performance and user satisfaction.
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