cover_letter / art_ibpG92-_PRw

Dear Fivetran Enterprise Platform Hiring Team, Fivetran's mission — making data access as simple and reliable as electricity — sits at the intersection of infrastructure reliability and developer experience, two domains I have spent over a decade building at scale. When I read that Fivetran moves billions of records daily and is now building the infrastructure to power AI and analytics workflows, I recognized the same class of problem I tackled at Intuit: how do you make a platform so trustworthy and self-service that thousands of engineers can build on it without friction? That question has defined my career, and it is why this role stands out. **Technical Foundation** My platform infrastructure work at Intuit is the most direct parallel to what Fivetran is building. As Staff Product Manager for Developer Frameworks & Platform Infrastructure, I owned the ICE platform end-to-end — DevPortal, GitOps configuration, SDK Starter Kits, and the observability and telemetry layer underneath. I scaled ICE engagements 275% year-over-year to 675M+ in FY23 across QuickBooks, TurboTax, Mint, Mailchimp, and Credit Karma, and drove a throughput migration from 6K to 50K TPS via rSocket, supporting approximately 1.5M concurrent connections at sub-25ms TP99. That is not a feature — that is platform infrastructure at enterprise scale. On the security and governance side, I initiated the MSaaS Drift Detection and Resolution program: I wrote a Java JAR library to scan Git repositories for configuration drift, partnered with Design on a DevPortal remediation UI, and built a remediation roadmap using OpenRewrite. I also delivered the ICE Self-Service platform that reduced developer onboarding from 2–3 weeks to minutes in pre-production and under 24 hours for production — a direct analog to the workspace configuration and self-service governance work described in this role. At Splunk, I owned the Search Service (Go microservices), Search Catalog (PostgreSQL metadata service), and SPL/SPL2 — building product roadmaps and acceptance criteria for Splunk Cloud Services. I delivered the Scheduler Service end-to-end in approximately four months and led a query performance optimization initiative that achieved up to 10x improvements for a beta Fortune 500 customer. Working across Go microservices, PostgreSQL, and cloud-native search infrastructure gave me a durable mental model for the backend systems and observability tooling that enterprise platform PMs must reason about daily. Beyond product roles, I have built hands-on: a RAG retrieval pipeline with ChromaDB, multi-provider LLM orchestration with fallback routing, and a production evaluation platform (aeval) with a FastAPI orchestrator, TimescaleDB, Redis job queue, and automated safety gates — all of which required the same rigor around data reliability and pipeline observability that Fivetran's customers depend on. **Why This Role** My arc — from SOA platform PM at Kaiser Permanente, to search infrastructure at Splunk, to developer platform at Intuit, to founding AI-native products — has consistently pointed toward the same challenge: making complex infrastructure invisible to the end user while remaining fully governable for the enterprise. Fivetran's Enterprise Platform team is exactly where that challenge lives at its hardest. What excites me specifically about this role is the combination of enterprise security and governance, workspace configuration, and observability tooling — three areas where I have direct delivery experience. The opportunity to define the roadmap for features that thousands of Fortune 500 data teams depend on, while keeping an eye toward AI-first opportunities in the data stack, maps precisely to the work I find most meaningful. Fivetran's position at the foundation of modern data infrastructure — feeding the warehouses that now power LLM fine-tuning, RAG pipelines, and analytics — means the platform decisions made here will compound across the entire AI ecosystem. **Selected Relevant Experience** - **ICE Self-Service Platform (Intuit):** Delivered DevPortal, GitOps config, and ICE Playground — reducing developer onboarding from 2–3 weeks to minutes in pre-prod and under 24 hours for production; mitigated $1M+ in projected opex growth. - **Platform Scale (Intuit):** Achieved 275% YoY growth in ICE engagements to 675M+ in FY23; scaled throughput from 6K to 50K TPS via rSocket migration supporting ~1.5M concurrent connections at sub-25ms TP99. - **MSaaS Drift Detection (Intuit):** Wrote Java JAR library to scan Git repos for configuration drift; built remediation roadmap using OpenRewrite — directly relevant to governance and compliance tooling. - **Enterprise Language Assessment (Intuit):** Conducted enterprise-wide Service Language Assessment across 9 languages using SQL and BigQuery usage data; findings presented to CTO — demonstrates analytical rigor and executive-level communication. - **Search Infrastructure (Splunk):** Owned Go microservices (Search Service), PostgreSQL metadata service (Search Catalog), and SPL/SPL2; delivered Scheduler Service end-to-end in ~4 months; achieved up to 10x query performance improvements for a Fortune 500 beta customer. - **SDK & Developer Tooling (Intuit):** Extended Java and Python SDK Starter Kits with scaffolding templates, Gradle/Maven build configurations, testing frameworks, and CI/CD integration — enabling developers to reach production-ready microservices in minutes. - **Logging-as-a-Service (Kaiser Permanente):** Led enterprise rollout of Splunk LaaS at 1.7 TB daily volume across 200+ internal customers — an early analog to the data pipeline reliability and observability work central to Fivetran's platform. - **Cloud Infrastructure (Intuit/Streamio):** Led Mailchimp GCP-to-AWS migration for MSaaS; built and deployed production systems on EC2 with nginx; hands-on with AWS, GCP, and cloud-native tooling across multiple roles. **Closing** Fivetran's mission resonates because reliable data infrastructure is not a nice-to-have — it is the precondition for every intelligent business decision, every AI model, every analytics workflow that matters. I have spent my career making platforms that engineers trust at scale, and I would bring that same commitment to the Enterprise Platform team. I look forward to the opportunity to discuss how my background maps to what you are building. Sincerely, **O. Felix Amoruwa** famoruwa@berkeley.edu · 909-731-9011 · felixamoruwa.info