Senior Growth Marketing Engineer

Build, own, and continuously improve the AI-enabled growth performance operating system across Marketing, SDR, and RevOps while establishing enterprise standards for experimentation, attribution, and performance measurement. 

Design and manage AI workflows, agent orchestration, prompt systems, and automation logic that support campaign planning, reporting, signal detection, and optimization. 

Define campaign signal architecture across paid media, lifecycle, events, web, SDR motions, Salesforce, and marketing automation systems. 

Own measurement logic for campaign performance, including how signals are captured, validated, interpreted, and used for optimization. 

Ensure pixel tracking, Meta CAPI, Google enhanced conversions, offline conversion flows, UTMs, form tracking, landing page tracking, and conversion events are accurate and performance-ready. 

Partner with Marketing Operations on platform configuration and integration execution, while owning performance requirements, QA standards, and business logic. 

Troubleshoot tracking and attribution discrepancies across ad platforms, GA4, Salesforce, HubSpot, BI tools, and internal reporting. 

Build lightweight integrations, API-connected workflows, automated reporting processes, and data handoffs across marketing and revenue systems. 

Develop and maintain experimentation frameworks for campaigns, audiences, offers, creative, landing pages, lifecycle motions, and paid media tests. 

Create repeatable test design, measurement, documentation, and learning loops that improve experiment velocity and decision quality. 

Build dashboards, performance views, and decision briefs that help Demand Gen leaders understand what to scale, pause, test, or fix. 

Improve the quality and usability of attribution inputs, conversion events, campaign data, and performance reporting. 

Define the performance measurement frameworks and signal-quality standards used across paid media, lifecycle, SDR, and pipeline generation programs. 

Set measurement governance, optimization standards, and experimentation expectations for internal channel owners and agency partners, driving accountability across GTM teams. 

Support Qualified SDR and lifecycle motions by defining signal-to-action logic, QA requirements, and feedback loops.