Engineering Product Manager - Observability AI (USA, Remote)
Cisco · San Francisco, CA
- On site
- Full-time
- $168,800 / year
- San Francisco, CA
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Engineering Product Manager - Observability AI (USA, Remote)
Cisco · San Francisco, CA
Morgan Blake
Hiring Manager · h•••••@careers.cisco.com
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Not recommended alone — most applicants never hear back.
Job highlights
- Build AI agentic systems for critical digital infrastructures.
- Own product lifecycle for AI-driven observability solutions.
- Develop 12-18 month product portfolio strategy.
- Serve as expert in AI observability and analytics.
- Drive adoption and evangelize product innovations.
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.
Key skills/competency
- Product Management
- AI Technologies
- Observability Platforms
- Monitoring Solutions
- AI Evaluation Frameworks
- Agentic Systems
- Data Analytics
- Root Cause Analysis
- Anomaly Detection
- Incident Response
Skills & topics
- Product Manager
- AI
- Observability
- AI Technologies
- Product Management
- Cisco
- Remote
- Engineering
- Monitoring
- AI Agentic Systems
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: Detail collaboration with engineering and data science teams.
- Prepare for technical interviews: Be ready to discuss AI observability and product strategy.
- Understand Cisco's vision: Align your application with Cisco's AI and infrastructure focus.
Technical preparation
Study agentic AI systems and their applications.,Review observability platforms and telemetry standards.,Understand AI evaluation metrics and methodologies.,Familiarize with modern workload architectures.
Behavioral questions
Describe a complex product strategy you developed.,How do you incorporate customer feedback effectively?,Share an experience of aligning stakeholders.,How do you evangelize new product innovations?
Prefer to apply the usual way?
Not recommended alone — most applicants never hear back. Email the hiring manager first.
Frequently asked questions
- What is Cisco looking for in an Engineering Product Manager - Observability AI candidate?
- Cisco is seeking candidates with a strong background in product management, AI technologies, and observability platforms. Expertise in building AI agentic systems and understanding AI evaluation metrics is highly preferred for this Engineering Product Manager - Observability AI role. Demonstrating cross-functional teamwork and a deep understanding of modern workloads and telemetry is also crucial.
- How important is experience with AI evaluation frameworks for this role at Cisco?
- Experience with AI evaluation frameworks is highly desirable and considered a preferred qualification for the Engineering Product Manager - Observability AI position. This includes familiarity with metrics like groundedness, hallucination detection, task success, and agent collaboration, which are key to developing robust AI-driven observability solutions.
- What are the key responsibilities of the Engineering Product Manager - Observability AI at Cisco?
- The key responsibilities include taking end-to-end ownership of AI-powered observability products, shaping product portfolio strategy, developing roadmaps, and acting as a domain expert. You will also be responsible for gathering customer feedback, creating stakeholder alignment, and acting as a product spokesperson to evangelize innovations.
- What kind of technical knowledge is expected for this Cisco product management role?
- Candidates should possess deep technical knowledge of modern workloads, observability telemetry, AI-driven analytics, and AI evaluation methodologies. Familiarity with AI security, compliance, telemetry standards, and AI quality management tools is also beneficial for this Engineering Product Manager - Observability AI position.
- How can I best prepare for an interview for the Engineering Product Manager - Observability AI role at Cisco?
- To prepare for an interview, thoroughly research Cisco's AI initiatives and its role in observability. Be ready to discuss your experience with AI technologies, product lifecycle management, and how you've driven product strategy and adoption. Prepare specific examples demonstrating your technical expertise and cross-functional collaboration skills.