Product Lead

This is an opportunity for a highly technical, customer-centered product leader to work at the intersection of cloud infrastructure, AI, data, and applied science. This role follows a hybrid working model, with an expectation to work from our Reading or London office as required.Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.Works deeply with strategic enterprise customers, including scientific and research organizations, to align customer requirements, market opportunities, internal stakeholders, and Oracle’s product strategy.-Champions the analysis of market trends, emerging technologies, customer requirements, and the competitive landscape across cloud infrastructure, data platforms, AI/ML, scientific computing, and related technologies.-Leads engagements with strategic customers, prospective customers, partners, and industry stakeholders to gather market intelligence and identify opportunities for the product portfolio.-Product Analysis - Solution Identification:-Establishes strategies for identifying customers’ unmet or emerging needs through detailed discovery of workflows, user journeys, data flows, technical environments, and operational processes.-Develops clear problem statements and data-driven hypotheses for complex AI, cloud, data, and platform capabilities.-Develops strong familiarity with customer technology environments, including cloud infrastructure, data platforms, AI/ML, automation, laboratory, research, and related enterprise systems.Product Ownership - Product Development and Roadmapping:-Drives the product lifecycle for OCI AI and cloud platform capabilities, from customer discovery and definition through development, launch, operation, and continuous improvement.-Owns and maintains a multi-phase product roadmap, balancing near-term strategic customer requirements with Oracle’s longer-term platform vision and broader market opportunities.-Takes a leadership role in driving delivery excellence, managing dependencies, technical trade-offs, risks, and complex issues to ensure successful product outcomes.-Interprets customer feedback, Service Requests, bugs, product telemetry, usage trends, operational data, and market insights to drive prioritization and product decisions.-Sets expectations for product quality through the creation and review of product requirements, user stories, acceptance criteria, and release objectives.-Directs product development to deliver exceptional customer experiences while creating reusable, configurable, and scalable OCI capabilities.-Champions agile, continuous-delivery, and customer-driven product development practices that enable rapid learning and iteration.-Alignment and Collaboration:-Drives strategic alignment across engineering, architecture, design, operations, security, sales, customer success, and executive stakeholders.-Anticipates and addresses stakeholder concerns using customer evidence, technical understanding, market insights, and data-driven recommendations.-Guides collaboration with engineering leaders and architects to define product scope, evaluate technical trade-offs, manage dependencies, and execute solutions tied to OKRs and Key Performance Indicators (KPIs).-Takes ownership of success criteria and performance metrics across product capabilities, including adoption, customer satisfaction, workflow efficiency, platform reliability, feature usage, and business value.-Communicates product strategy, customer insights, roadmap decisions, delivery status, dependencies, and risks clearly to technical teams, executives, and customers.-Conducts detailed discovery of customer workflows, user experiences, data flows, technical systems, operational processes, and pain points.-Balances immediate customer delivery requirements with the strategic objective of developing broadly reusable OCI platform capabilities.-Reviews and prioritizes critical customer issues and partners with engineering and product development teams to drive effective resolution.Product Release - Go-to-Market:-Leads the development of product and release overviews, field presentations, demonstrations, and supporting materials for new OCI platform capabilities.-Identifies and supports strategic early adopters to validate product capabilities, gather actionable feedback, and refine solutions.-Drives the development of clear product and user documentation in partnership with relevant technical teams.-Presents product capabilities, customer use cases, roadmap direction, and demonstrations to customers, partners, field teams, and executive stakeholders.-Helps establish repeatable customer-engagement, product-discovery, release, and go-to-market patterns as capabilities expand beyond initial strategic customers.Owns backlog prioritization and release planning, making informed trade-offs using customer evidence, operational data, technical feasibility, and business impact.Fosters strong partnerships with customers, engineering, architecture, design, operations, security, sales, customer success, and executive stakeholders.-Serves as a strong advocate for customer needs while maintaining a clear point of view on OCI platform strategy and long-term product direction.Problem Solving:-Leads advanced problem-solving efforts for complex customer, product, and technical challenges, including ambiguous or novel AI, data, cloud, and scientific-computing use cases.-Partners with engineering and architecture teams to resolve complex technical and product issues while balancing immediate customer outcomes with long-term platform scalability.Continuous Learning:-Develops and applies deep knowledge across cloud infrastructure, distributed systems, data platforms, AI/ML, enterprise integration, and relevant customer domains.-Maintains expertise by proactively monitoring emerging technologies and industry trends, including AI model development and evaluation, RAG, AI agents, agent frameworks, Model Context Protocol (MCP), and enterprise AI governance.-Builds familiarity with scientific computing, laboratory systems, research-data workflows, and related technologies where relevant to customer use cases.-Applies emerging customer, market, and technology insights to identify opportunities for product innovation and advancement.Continuous Improvement:-Develops and implements approaches that improve product discovery, customer engagement, product development, release processes, and operational effectiveness.-Champions a customer-first, data-driven culture that combines rapid iteration with strong product quality, security, reliability, and operational excellence.Performance and Development:-Serves as a subject matter expert on product management, customer discovery, AI/cloud platform capabilities, and the technical domains relevant to the product portfolio.-Provides product leadership and expertise across cross-functional teams, helping establish strong practices for customer discovery, requirements definition, roadmap development, product delivery, and go-to-market execution.-Supports talent development through knowledge sharing, mentoring, candidate assessment, and hiring activities as appropriate.