Staff Engineering Product Manager (Remote)

The application window is expected to close on: 09/01/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This position is fully remote and can be performed from any location within the United States. The role requires reliable internet connection and the ability to work independently in a remote environment.    Meet the Team Join the Splunk Observability Cloud team as we build AI agents that help engineering and operations teams detect problems, investigate root causes, and safely remediate issues across complex cloud environments. Work within a collaborative, cross-functional group of product managers, engineers, designers, researchers, and go-to-market partners focused on making production operations more reliable. Connect the team’s AI-agent experiences to Splunk’s broader mission of helping customers maintain secure and resilient digital systems. Thrive in a fast-moving, experimental environment that values customer insight, technical curiosity, thoughtful risk management, and measurable outcomes. Help shape an emerging product area with the potential to transform how teams understand and resolve operational issues.

Lead the strategy and roadmap for AI agents spanning detection, troubleshooting, and remediation. Set 12–18-month goals, milestones, and success measures aligned with customer and business needs. Discover high-value problems through customer interviews, product data, field feedback, market research, and competitive analysis. Prototype concepts with tools such as Codex, Claude, and similar AI development platforms to test workflows, gather feedback, and accelerate product decisions. Define requirements and evaluation methods for agent accuracy, reliability, explainability, safety, and user trust. Prioritize new capabilities, platform investments, customer requests, technical debt, and quality improvements. Partner with engineering and design from discovery through delivery, then measure adoption and refine the product. Represent the product with customers, advisory councils, internal teams, and company leaders.

Bachelor’s degree with 8 years of related experience, master’s degree with 6 years of related experience, PhD with 3 years of related experience, or equivalent practical experience. Experience managing technically complex products in one or more of the following areas: enterprise software, cloud computing, data platforms, infrastructure, observability, or artificial intelligence. Experience defining product strategy, roadmaps, requirements, milestones, and measurable success criteria for software products. Experience conducting customer research and using qualitative and quantitative evidence to prioritize product opportunities. Experience partnering with engineering and design teams throughout product discovery, development, launch, adoption, and improvement.

Experience building or managing AI-powered, generative AI, or agentic products. Working knowledge of observability, Kubernetes, microservices, distributed systems, and DevOps or site reliability engineering practices. Familiarity with metrics, logs, traces, alerts, incident response, root-cause analysis, and production operations. Experience using AI-assisted development tools, such as Codex or Claude, to create prototypes, demonstrations, or proofs of concept. Ability to evaluate technical trade-offs, align cross-functional teams around measurable outcomes, and represent products with customers, advisory councils, internal stakeholders, and senior leaders. Why Cisco?  At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled