Eric Brousseau
MetaforIQ Founder
CloudIQ observability supports a global base of 20,000+ enterprise infrastructure accounts, generating massive, high-velocity telemetry streams.
Standard metrics failed to signal the 'why' behind customer churn. I identified the need for a predictive model that could decode complex behaviors into a window of opportunity for intervention before a customer reached the point of no return.
Principal Product Manager
Developed an explainable segmentation model using unsupervised ML (e.g., k-means, DBSCAN, GMM) to identify latent user patterns in time-series data. By tuning for segment similarity and dispersion variance, I transformed multi-dimensional customer behaviors into high-integrity churn signals. This enabled the organization to shift from instinct to actionable insight, pinpointing the windows of opportunity for strategic intervention.
The AIOps ecosystem, CloudIQ and Moogsoft, existed as siloed platforms with fragmented customer telemetry, leaving a massive gap in our understanding of the end-to-end user journey.
I recognized that optimizing the product experience required bridging these disconnected streams. The challenge was to synthesize hundreds of disparate data features into a unified perspective on product health and adoption.
Principal Product Manager
Led the discovery and delivery of a unified intelligence layer. Assisted by LLMs, I developed a Python framework for automated data ingestion that transformed raw telemetry from several disparate sources into a centralized intelligence system for identifying systemic friction.