Engineering Product Manager - Observability AI

The application window is expected to close on: 04/26/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Engineering Product Manager - Observability AI As a Product Manager in the AI Pathways team, you won't just be adding a chatbot to a dashboard. You will be responsible for building agentic systems —AI that doesn't just surface data but understands context, suggests remediations, and automates sophisticated workflows. You will define how humans and AI co-pilot the world’s most critical digital infrastructures! Your Impact: In this role you will Design, develop, and manage AI-driven observability products or product portfolios that provide end-to-end visibility, monitoring, and assurance for sophisticated applications and infrastructure. Owns the product lifecycle from definition and planning through production, release, and end of life, ensuring alignment with business outcomes and customer needs in the observability domain! What You’ll Do: Take end-to-end ownership of multiple  observability products within a portfolio, driving innovation in AI-powered monitoring, troubleshooting, remediation, and incident response. Shape the product portfolio strategy over a 12-18 month horizon, with clear milestones focused on enhancing observability capabilities such as AI-driven root cause analysis, anomaly detection, alert correlation, and remediation Develop multi-quarter product roadmaps that align market needs, AI observability trends, AI evaluation quality standards, and business strategy. Serve as a product and domain expert with deep technical knowledge of modern workloads, observability telemetry, AI-driven analytics, and AI evaluation methodologies including groundedness, hallucination detection, task success, and agent collaboration. Provide input into competitive analysis and market validation for AI observability Solicit and incorporate customer feedback from diverse channels to continuously improve observability features, AI evaluation quality, and user experience. Create alignment between product teams, stakeholders, and leadership to strengthen AI observability product lines and drive adoption. Act as a product spokesperson internally and externally, evangelizing observability innovations, and benefits. Minimum Qualifications: Bachelor’s degree plus 8 years of related experience, or Master’s degree plus 6 years, or PhD plus 3 years in product management or related fields. Experience with AI technologies, observability platforms, monitoring solutions, and AI evaluation frameworks is highly desirable. Preferred Qualifications: Expertise in building AI agentic systems, observability data analytics, and AI evaluation metrics such as groundedness, reliability, task completion, and agent teamwork. Familiarity with AI security, compliance, telemetry standards, and AI quality management tools. Strong cross-functional teamwork skills with engineering, data science, and customer success teams. 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 security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this positi ... (truncated, view full listing at source)