Engineering Product Manager - Splunk AI

The application window is expected to close on: 03/05/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Engineering Product Manager - Splunk AI Foundations Location: Remote - United States Splunk is looking for an enthusiastic and driven Engineering Product Manager to drive the future of the next generation of AI capabilities across our product portfolio supporting our digital resilience customers. In this role, you will be responsible for deep integration of generative AI and machine learning with a focus on digital resilience – AI platform and tools, the model lifecycle, unified security analytics, full stack observability and real-time visibility of streaming data. In this role, you will define the critical features and roadmap for bringing high-scale, high-performance AI to Splunk customers and app developers. You will use your understanding and experience building products using Gen AI, LLMs and deep learning, and your ML expertise in building anomaly detection systems, to support observability use cases. If you are adept at cross-team collaboration and have worked closely with engineers and data scientists to build AI products that drive meaningful and impactful business outcomes, this is the role for you. Proven experience with application performance monitoring (APM) tools, AIOps, Foundation models for machine data, or similar observability technologies. Experience with Splunk Observability Cloud, AppDynamics, Splunk IT Service Intelligence or similar platforms. Deep AI Product management experience, specifically shipping AI tools and platforms, building and training models, MLOps capabilities, foundation models and AI Assisant solutions is a requirement. You will work in the technical Central AI Product Management team so a real appreciation of serving the needs of Security, AI, and Platform engineers is vital. Exposure cross-functional AI integration is a plus. You will merge customer value, business imperatives with attention to technical detail and collaborate with cross-functional execution teams to drive customer insights and inputs directly into the development process and the entire product life cycle. Ideally, you have experience working directly with GTM partners and customers, especially design partners. As we drive forward for the success of our customers, you will hold the team accountable to achieve goals of product quality and value. What you'll get to do As with any fast-growing company, day-to-day responsibilities will span the entire product life cycle, delivery pipeline and include deep interaction with customers, sales, and engineering, and Splunk’s global partner organization. Collaborate closely with your AI PM counterparts to deliver in depth AI integration across the entire product portfolio Engage with customers, develop insights into what is possible, and uncover unarticulated needs to ensure customer success. Define product specifications, user stories, mockups, and acceptance criteria independently and in collaboration with engineering, design, TPM, and documentation. Collaborate with QA, SRE, and release teams to plan, drive and implement product release cycles. Collaborate with product marketing to support the creation of content. Engage with Compliance, Legal, and Finance teams to ensure products meet security, legal standards as well as address financial goals (for example cloud margin) Must-have Qualifications 5+ years of proven success in product management. Deep understanding and several years of experience in product delivery of AI services, machine learning platforms and products, and generative AI. Deep AI Product management experience, specifically shipping AI tools and platforms, building and training models, MLOps capabilities, foundation models and AI Assisant solutions is a requirement. Solid understanding of infrastructure, networking, and security concerns in on-prem and cloud environments. Actively main ... (truncated, view full listing at source)