Principal Product Manager

Lead AI Integration Strategy: Define and execute the product vision and strategy for integrating Azure AI capabilities with Oracle Database@Azure. You will own the roadmap for AI-driven features, such as applying Azure OpenAI and machine learning models to data stored in Oracle databases on Azure. Product Roadmap & Delivery: Drive end-to-end product planning for AI integrations - from ideation and requirements through design, delivery, and global rollout of new capabilities. Ensure features meet customer needs and align with Azure and Oracle ecosystem goals. Customer Research & Scenario Validation: Engage directly with enterprise customers and partners to understand their needs and pain points. Identify high-value AI use cases (e.g. predictive analytics, intelligent data retrieval, cognitive services applied to Oracle data) and run validation programs or previews to gather feedback. Use customer insights to iterate and prioritize the right scenarios. Cross-Team Collaboration: Partner closely with Azure AI teams (Azure OpenAI, Azure Machine Learning, Cognitive Services) and Oracle engineers to design seamless integrations. Coordinate across multiple product and engineering teams to ensure Azure services and Oracle database services work together efficiently, with low latency and excellent user experience. Evangelism & Enablement: Champion the benefits of AI-enhanced Oracle Database@Azure solutions to both internal and external stakeholders. Present at customer briefings, industry events, and executive meetings to drive adoption and excitement for new AI features. Data-Driven Decisions: Monitor industry trends in AI/ML and database technology. Track usage metrics and customer success criteria for AI features, and use data to drive continuous improvements. Ensure that new solutions maintain Azure's standards for security, compliance, and performance required by mission-critical Oracle applications. Thought Leadership: Act as a subject matter expert for AI integrations on the OracleDB@Azure team. Provide guidance and insight to other product managers and engineers on best practices for incorporating AI/ML into cloud database services. Influence product roadmap and engineering investments by articulating a clear vision of how intelligent cloud services can create business value for our customers. Bachelor's Degree AND 8+ years experience in product/service/project/program management or software development 2+ years of experience with AI/ML technologies, such as building or integrating solutions involving machine learning models or natural language AI (e.g. working with large language models, predictive analytics, or similar advanced AI applications). 8+ years experience in Oracle or Oracle applications and database management Bachelor's Degree AND 10+ years of experience in product/service/project/program management OR software development OR equivalent experience. Proven experience leading cross-functional initiatives or projects, with an ability to work across organizational boundaries. Experience reading and/or writing code (e.g. creating sample apps, scripting, or technical demos) is a plus, demonstrating comfort with technical concepts. Deep knowledge of Azure AI services and ecosystem. Domain experience in data platforms or enterprise databases. Exposure to database technologies (SQL/NoSQL). You should be able to quickly learn and discuss database concepts to effectively integrate AI solutions. Customer-facing experience. Demonstrated ability to engage with enterprise customers or partners - for example, gathering requirements, delivering presentations or workshops, or driving pilot programs. A passion for helping customers succeed with new technologies is highly valued. Innovation mindset and continuous learning. Genuine enthusiasm for staying current with the latest advancements in AI/ML (e.g. generative AI, LLMs, etc.) and ability to apply new ideas to product strategy. Proficient product leadership skills, including the ability to translate customer needs into product requirements, and to manage feature delivery through collaboration with engineering teams. Excellent communication and collaboration skills, with a track record of working effectively across diverse teams and presenting complex ideas to technical and non-technical audiences.