Microsoft Product Manager II 

United States, Washington 

125143496

As a Product Manager II on the 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.

Required Qualifications:

• Bachelor's Degree AND 2+ 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.

Preferred Qualifications:

• Experience in analytics, experimentation, and data story telling with actionable insights

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

our 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 capabilit

• 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.
• 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: Oversee the entire product lifecycle, from concept to end-of-life. 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.

• Other

  • Embody our