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We are an infinitely curious team always seeking new possibilities and dedicated to creating the world’s leading AI-powered cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts ensuring exceptional client experiences with a focus on delivery excellence and obsession over customer outcomes.
IBM’s product and technology landscape includes Research Software and Infrastructure. Entering this domain positions you at the heart of IBM where growth and innovation thrive.
We’re looking for a Product Manager to lead Observability for applications that leverage Generative AI agents and tools.
In this role you will define and drive the roadmap for Observability of GenAI models inference pipelines and hybrid deployments ensuring transparency reliability and performance in modern AI-powered systems.
Own the product strategy and roadmap for Generative AI observability including
• monitoring and alerting for model performance and latency token consumption and costs model drift and quality degradation hallucination detection retrieval accuracy and relevance agent success rates and failure modes
• root cause investigation and remediation for generative AI integrated applications across cloud and on-prem environments.
• integrating telemetry from emerging technologies of generative AI stack components into the observability platform
Foster an Agile team environment maximizing productivity throughout the entire product development lifecycle.
Collaborate with product marketing and customer success teams to communicate new AI observability capabilities and gather feedback to drive future roadmap.
Stay ahead of industry trends in GenAI Observability to inform roadmap and work with research teams to drive innovation.
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
- Hands-on experience in Product Management or a related technical role with exposure to generative AI technologies and systems.
- Understanding of agile development practices
- Understanding of AI observability fundamentals: model metrics drift detection token usage and bias monitoring.
- Familiarity with cloud-native AI services
- Strong collaboration and communication skills across cross-functional teams.
- Ability to balance technical depth with customer and business priorities.
- Technical background (e.g. degree in Computer Science Engineering or related field).
- Product Management experience in an Agile development environment. Track record of driving significant product growth on a cloud-focused SaaS platform.
- Experience with APM or observability tools.
- Hands-on experience with AI monitoring tools (LangSmith LangFuse Arize AI WhyLabs) or OpenTelemetry extensions for AI.
- Hands on experience with GenAI frameworks (LangChain LangGraph CrewAI LiteLLM)
- Understanding of LLM architectures prompting techniques and Retrieval-Augmented Generation
- Familiarity with agent frameworks and multi-agent orchestration
- Knowledge of one or more programming languages (Python Go Java).