Product Manager II

Microsoft Dataverse is a low-code no-code hyperscale SaaS data and AI platform, which is the bedrock of Microsoft Power Platform and Microsoft Dynamics 365. While enterprise software and cloud services industry is still pivoting to the Generative AI revolution, Microsoft Dataverse is leading the pack by adding low-code/no-code AI capabilities like Copilot and AI services which deploys the power of a GPT grounded in enterprise data, into Microsoft Power Platform and Microsoft Dynamics 365 application suite, used by Fortune 500 enterprises for their CRM and ERP needs. Dataverse is a strategic growth area for Microsoft, but more importantly, it is a disruptor technology that is giving access to a broader set of users in an enterprise, to create next generation of business productivity software via radically simplified experience and faster Return on Investment (ROI) for our customers.

As the Product Manager 2 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

· Proven experience, minimum of 3 years, as a Product Manager with a strong track record.
· Passion and skills for delivering usable and delightful innovative enterprise products infusing AI and UI seamlessly.
· Conviction to do the right thing for users with growth mindset to listen, learn and anticipate upcoming trends with strong understanding of user-centered design principles.
· Extensive experience in analytics, experimentation, and data story telling with actionable insights
· Excellent communication and leadership skills, with a proven ability to work effectively in cross-functional teams.
Strategic thinker with a deep understanding of market dynamics and evolving customer needs.

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.

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· 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. Facilitate effective communication and collaboration to ensure the product's success.
· 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.