Technical Marketing Operations professional bridging the gap between marketing strategy and systems engineering. I specialize in replacing rigid, manual workflows with custom API integrations, self-healing data pipelines, and AI-driven logic. My focus is on scaling GTM infrastructure from the ground up through advanced webhook orchestration, strict CRM data integrity, and automated account matching and triage.
The Business Bottleneck Conversational sales data and pipeline intent signals were siloed. The executive team lacked an automated mechanism to tie Voice of Customer insights (Gong) into the broader revenue attribution model (Dreamdata), obscuring the true ROI of top-of-funnel marketing efforts.
The Engineering Solution Architected a multi-system orchestration pipeline bridging Gong and Dreamdata. Engineered a custom JavaScript Gong transcript parser with webhook integrations to extract conversational intelligence, routing it into specialized AI agents for automated content generation and executive briefings.
The Revenue Impact Closed the attribution gap between sales execution and marketing touchpoints. Transformed raw call transcripts into actionable competitive intelligence, providing the VP of GTM with a unified, automated view of pipeline drivers and conversational intent without manual data manipulation.
The Business Bottleneck Manual CSV handling and third-party platform rate limits created a processing bottleneck, causing critical speed-to-lead delays for up to 2,000 event leads per week.
The Engineering Solution Architected a self-healing, recursive JavaScript data pipeline that batches and processes leads via the Apollo.io API. Engineered a custom UI mapping function to enforce strict alignment of variables like Prospect and Company Countries prior to enrichment.
The Revenue Impact Bypassed rate-limit timeouts, eliminated system latency, and entirely removed the manual enrichment burden. Ensured the sales floor receives perfectly standardized, actionable lead data instantly.
The Business Bottleneck Tracking event ROI is historically a black box. Marketing lacked a scalable, automated mechanism to enforce whether sales delegates were hitting their badge scan quotas or logging opportunities in the CRM, resulting in lost revenue visibility.
The Engineering Solution Engineered a closed-loop accountability system integrating the Popl API, Google Apps Script, and the Gemini 2.5 API. The system autonomously evaluates delegate performance against pre-set targets and dynamically prompts an LLM to generate context-aware (D-7 to D+7) coaching emails.
The Revenue Impact Eliminated the manual burden of event follow-ups and enforced strict SLA compliance. Built automated escalation logic that routes performance warnings directly to line managers if targets are missed, ensuring expensive event leads are properly logged in Salesforce to track pipeline influence.
The Business Bottleneck Field marketing managers relied on an unstructured, manual email queue for list enrichment and CRM mapping. This operational drag delayed critical capital allocation decisions regarding which events justified budget and sponsorship.
The Engineering Solution Architected a queue system using Google Apps Script that instantly processes inbound list submissions. Engineered a custom RegEx domain extraction algorithm to automatically cross-reference raw event attendees against the CRM dictionary, instantly appending Account Owner, Region, and ICP data.
The Revenue Impact Eliminated the manual email bottleneck entirely. Delivered perfectly structured, CRM-ready intelligence back to field marketing instantly, enabling faster, data-driven event budget decisions without administrative delay.