Senior Product Manager

Product Vision & Roadmap: You will define and drive the product strategy and roadmap for AI-powered Day 1 and Day 2 experiences in Oracle Database@Azure. You'll prioritize features that enhance database provisioning, migration, monitoring, and maintenance through AI and automation, and ensure alignment with overall Azure data services strategy. AI-Assisted Workflows: You will design and deliver AI-assisted workflows for database operations, including intelligent monitoring and alerts, anomaly detection for performance or security issues, automated performance tuning and indexing, and copilot-style guidance for administrators. You'll collaborate with data scientists and Azure AI teams to integrate technologies like machine learning, predictive analytics, and generative AI into these features. User Experience Leadership: You will own the end-to-end UX for new intelligent tooling and ensure it is intuitive and customer-friendly. You'll work closely with UX designers to create streamlined, insightful experiences (dashboards, wizards, chat-based assistants) that simplify complex Oracle DB tasks. You will also engage directly with customers and preview programs to gather feedback and iterate on the user experience. Cross-Team Collaboration: You will partner deeply with engineering teams across Azure and Oracle to deliver integrated solutions. This includes working with Azure infrastructure engineers on enabling Oracle Exadata on Azure, collaborating with the Azure OpenAI/AI Platform team to leverage the latest AI capabilities, and coordinating with Oracle developers to ensure seamless interoperability. You'll also liaise with Azure support and field teams to roll out features and drive adoption. Technical & Domain Expertise: You will maintain hands-on technical proficiency in database management and cloud operations. You'll dive into telemetry and metrics to identify opportunities for optimization, validate AI models against real-world scenarios, and ensure high reliability and security standards. You will use your knowledge of enterprise database administration (including Oracle Database and Exadata practices) to anticipate customer needs and guide the team's technical decisions. Metrics & Continuous Improvement: You will define success metrics for AI-driven features (e.g. reduction in manual toil, improved performance, user satisfaction) and track their impact on customers' operational efficiency. You'll also identify long-term opportunities to expand our intelligent feature set, conduct competitive analysis of AI Ops trends in the industry, and drive continuous improvements to keep Oracle Database@Azure at the forefront of cloud database innovation. Bachelor's Degree AND 5+ years' experience in product/service/project/program management or software development 5+ years of product management experience, including taking technical products or services from concept to delivery. 1+ years experience working with cross-functional teams (engineering, design, data science, support) to launch and iterate on product features, with a strong understanding of enterprise customer needs and workflows. 2+ years experience with AI/ML or automation projects in a product context - for example, integrating machine learning models, analytics, or intelligent assistants into a software solution. Bachelor's Degree AND 8+ years of experience in product/service/project/program management OR software development OR equivalent experience. 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Familiarity with database technologies and enterprise DB operations - experience with Oracle Database administration, Exadata infrastructure, or migrating databases to the cloud is a strong plus. Hands-on technical background (e.g. degree in Computer Science/Engineering or prior software development/DevOps experience) with the ability to engage in architectural discussions and technical problem-solving. Proven track record of delivering user-friendly enterprise tools or platforms, with a keen eye for user experience and a passion for simplifying complex workflows through intuitive design. Knowledge of Azure services (Azure AI, Azure Monitor, etc.) and/or Oracle Cloud technologies is a plus, as is experience in developing AI-driven features such as chatbots, recommendation systems, or anomaly detection in a cloud or IT operations context. Excellent communication and collaboration skills, with the ability to translate complex technical concepts into customer value and to work closely with engineers on implementation details.