Senior Product Manager, Splunk

• You should be comfortable working with MLOps, AIOps PyTorch, TensorFlow, MLflow and ONNX, and apply state of the art ML capabilities to help Splunk customers complete their tasks with speed and efficiency
• 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
• Ideally you have experience working directly with GTM partners and customers, especially design partners
• 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
• Strong sense of empathy to care deeply about customer problems and the user experience
• Analytical thinking skills and a data-informed approach to decision-making
• Strong communication skills, including the ability to translate sophisticated technical products and features into simple concepts and presentations
• Ability to diagnose and resolve systemic obstacles that prevent the team from delivering high-quality products including cross-functional team execution
• Champion an atmosphere of continuous product improvement by serving as a customer advocate and collaborating closely with sales, support, engineering to make judgment calls that best serve customers and the business
• Enable every team member to do the best work of their lives
• Bachelor’s degree in a technical field (e.g. EE, CS); MBA or similar degree highly preferred

Desirable

• Splunk is looking for an enthusiastic, and driven Product Manager to drive the future of the next generation of AI capabilities across our product portfolio supporting our Security and Observability customers
• In this role, you will be responsible for deep integration of generative AI and machine learning with a focus on cybersecurity
• 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 building anomaly detection systems, to support cybersecurity use cases
• You will work in the AI Product Management team as part of the Office of the CTO so a real appreciation of serving the needs of Security, AI, and Platform engineers is vital
• Exposure to 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
• 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 delivery in depth AI integration across the entire product portfolio
• As we drive forward for the success of our customers, you will hold the team accountable to achieve goals of product quality and value
• Engage with customers, develop insights into what is possible, and uncover unarticulated needs to ensure customer success
• Build product roadmaps based on customers' needs, including market and technology forces
• Define product specifications, user stories, mockups, and acceptance criteria independently and in collaboration with engineering, design, Security PMs, TPM, and documentation
• Interact and collaborate with Support, NOC, and field teams to understand customer issues and drive business outcomes
• Collaborate with QA, SRE, and release teams to plan, drive and execute 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)