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.
A legacy on-premise perpetual licensing model that needed to evolve into a cloud-based SaaS recurring revenue model to maintain market competitiveness.
I saw the need to modernize the product operating model and lead the strategic pivot to SaaS, which would not only increase recurring revenue but also make the company an attractive acquisition target.
VP of Product & Design
Implemented outcome-based roadmapping and discovery processes, reducing cycle times and accelerating customer value delivery by 2x. Orchestrated the delivery of key enterprise AIOps capabilities, ultimately resulting in a successful acquisition by Dell Technologies.
A complex observability ecosystem managing multiple product departments including Onboarding, IAM, and Developer Experience.
There was a critical need for a unified organizational structure and strategy around OpenTelemetry to standardize telemetry across the platform.
Senior Director of Product Management
Led the cross-functional design of the OpenTelemetry organizational structure and strategy, delivering the final framework to executive leadership to unify the telemetry approach.
Vevo manages the world’s largest premium music video library. Maintaining a robust supply chain of content delivery requires high-velocity content operations.
The legacy manual supply chain had a massive bottleneck with metadata enrichment taking days. Collaborating with data science, we discovered that automating the tagging of content metadata via computer vision, NLP, and 3rd-party APIs was the only way to unlock true time-to-market speed.
VP of Product & Engineering
Delivered an automated content intelligence pipeline using AI/ML for metadata tagging. This modernized the primary supply chain bottleneck, scaling content operations 100x and reducing time to market from days to minutes.
A critical shift in media consumption as viewers migrated from YouTube-centric discovery to direct Connected TV (CTV) and living-room experiences.
Relying solely on third-party distribution created a 'data blind spot' and limited monetization. We needed to architect an owned-and-operated distribution layer to capture direct-to-consumer signals and secure our presence in the CTV landscape.
VP of Product & Engineering
Led the architectural delivery and launch of Vevo’s first linear programming platform. This established a proprietary first-party data loop and transformed Vevo from a content provider into a direct-to-consumer media network with full monetization control.
The intersection of elite athletic performance science and product design. Kinesiology lab telemetry was historically siloed in legacy formats, limiting the ability to apply holistic insights to product fit and protection.
I was brought in to architect the transition from disconnected research spreadsheets to a unified digital ecosystem. The challenge was to modernize the technical stack while designing a high-integrity UX for the athlete lab experience.
Expert Solutions Architect and Product Manager
Led the architectural delivery of a centralized sports science data platform. This zero-to-one initiative involved transpiling legacy SAS and R algorithms into high-performance Python, creating a shared data platform that connected lab research and product design.
Nike.com operated as a passive product catalog with static content placement, lacking the ability to respond to individual user intent in real-time.
I recognized that the low-latency telemetry built for system monitoring could be harnessed for commerce. Legacy analytics were too slow to trigger in-the-moment cross-sell and upsell, leaving significant revenue demand uncaptured during high-intent sessions.
Director of Product
Discovered and delivered an expansion of the DREAMS architecture to power real-time affinity recommendations. This transformed the site from a static catalog into an adaptive experience that reacted to live traffic signals, directly recapturing lost revenue opportunity.
High-velocity global product launches where site traffic and transactional volume spike instantly, historically requiring war rooms of experts to manage system failures with limited in-the-moment visibility.
Standard observability tools suffered from high-latency data lags, making it impossible to mitigate failures during the critical minutes of a 'hype' drop. I saw the need for a dedicated, low-latency telemetry system designed specifically for non-linear load spikes.
Principal Product Manager
Discovered and delivered the DREAMS platform, providing real-time visibility into high-velocity launch windows. This transformed the operational culture from reactive firefighting to proactive mitigation, establishing the foundational infrastructure for automated system recovery and scaling.
A global digital ecosystem requiring high-integrity validation for features across diverse demographics within a complex technical environment.
Standard client-side testing tools were limited to cosmetic 'look and feel' changes. I saw a gap in our ability to test and target deeper server-side functionality, new workflows, and core business logic.
Principal Product Manager and Developer
Led the discovery and delivery of a proprietary service enabling request-scoped server-side enabled experimentation. This shifted the culture from front-end styling to high-impact functional testing and business logic validation.
Early-stage AdMarTech fragmentation where eCommerce sites relied on dozens of disparate analytics and marketing vendors.
I saw the potential to remove the structural bottleneck between marketing intent and engineering execution. The challenge was to transform an analytics consultancy into a scalable SaaS business.
Generalist
Spearheaded the launch of a first-of-its-kind platform that abstracted away the code. This created the Tag Management category, allowing marketing teams to deploy pixels in minutes and establishing a new global industry standard.
The company's initial shift to digital retail, where data-driven decision making was not yet a standard operating model.
I saw an opportunity in how the ecommerce department approached marketing, content management, and customer behavioral analysis. I started a dedicated team to pioneer high-leverage technical capabilities.
Architect
Founded the Innovation Team and pioneered foundational capabilities in A/B testing, real-time product affinity, and automated marketing. This established the enterprise's data-driven operating model and fundamentally changed how decisions were made at scale.