Engineering Product Manager - Observability AI (USA, Remote)
Cisco · New York, NY
- On site
- Full-time
- $200,000 / year
- New York, NY
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Job highlights
- Build agentic AI systems for critical digital infrastructures.
- Own product lifecycle for AI-driven observability.
- Develop roadmaps for AI observability trends.
- Act as a domain expert in AI and observability.
- Drive adoption of AI observability product lines.
About the role
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.
Key skills/competency
- AI Product Management
- Observability Platforms
- Agentic Systems
- Product Lifecycle Management
- Roadmap Development
- Customer Feedback
- Cross-functional Collaboration
- Technical Expertise
- Market Validation
- AI Evaluation
Skills & topics
- Product Manager
- AI
- Observability
- Artificial Intelligence
- Product Management
- Engineering
- Monitoring
- Agentic Systems
- Data Analytics
- Roadmap
How to get hired
- Tailor your resume: Highlight AI, observability, and product management experience.
- Showcase AI expertise: Emphasize experience with agentic systems and evaluation metrics.
- Demonstrate cross-functional skills: Provide examples of successful collaboration with engineering and data science.
- Quantify achievements: Use data to show the impact of your product decisions.
- Prepare for technical questions: Be ready to discuss AI observability concepts and trends.
Technical preparation
Behavioral questions
Frequently asked questions
- What is an 'agentic system' in the context of Cisco's Observability AI role?
- An agentic system, in the context of Cisco's Engineering Product Manager - Observability AI role, refers to AI that goes beyond simply displaying data. It involves AI systems that understand context, can suggest solutions or remediations, and automate complex workflows. This means the AI is proactive and capable of taking action to resolve issues within critical digital infrastructures.
- What specific AI evaluation frameworks are most relevant for this Observability AI Product Manager position at Cisco?
- For this role, Cisco emphasizes expertise in AI evaluation frameworks. Key metrics include groundedness, hallucination detection, task success, and agent collaboration. Familiarity with AI security, compliance, telemetry standards, and AI quality management tools is also highly desirable. Demonstrating experience with these metrics will be crucial for success.
- How does Cisco define 'end-to-end ownership' for the Observability AI Product Manager?
- End-to-end ownership for the Engineering Product Manager - Observability AI at Cisco encompasses the entire product lifecycle. This means you are responsible from the initial product definition and planning stages, through development, production, release, and even end-of-life management. It ensures the product aligns with business goals and meets customer needs throughout its existence.
- What is the expected career progression for an Engineering Product Manager at Cisco in the AI Pathways team?
- While specific career paths can vary, a role like Engineering Product Manager - Observability AI at Cisco offers significant growth opportunities. You can deepen your expertise in AI and observability, potentially leading larger product portfolios or moving into strategic product leadership roles. Cisco encourages internal growth and provides resources for continuous learning and skill development.
- How important is prior experience with specific observability platforms for this Cisco role?
- While experience with AI technologies, monitoring solutions, and AI evaluation frameworks is highly desirable, specific experience with observability platforms is also very beneficial. The role involves designing and managing AI-driven observability products. Therefore, a strong understanding of how observability platforms function and how AI can enhance them will be a significant advantage.
- What kind of cross-functional collaboration is expected for the Observability AI Product Manager at Cisco?