Senior Growth Marketing Engineer

Requirements 7+ years of experience in B2B SaaS growth marketing, marketing operations, marketing analytics, growth systems, revenue operations, advertising operations, or technical demand generation Demonstrated experience building AI workflows, AI agents, automation systems, or AI-enabled GTM processes Strong hands-on experience with HubSpot, Salesforce, and Salesforce-connected marketing workflows Experience building, managing, or troubleshooting API integrations across marketing, sales, analytics, advertising, or data systems Hands-on experience with tracking QA, pixel validation, CAPI or server-side tracking concepts, enhanced conversions, offline conversion flows, UTM governance, and conversion event validation Strong analytical skills with the ability to connect technical details to business outcomes, including pipeline, conversion, CAC, ROI, and revenue impact Strong communication and collaboration skills, with the ability to explain complex technical issues clearly to marketing, sales, RevOps, analytics, and executive stakeholders Experience with Marketo-to-HubSpot migrations, HubSpot AI, or similar B2B marketing automation transformation initiatives Experience with 6sense, Qualified, Clay, Apollo, Warmly, Demandbase, or similar GTM intelligence and workflow tools Experience with GA4, Google Tag Manager, server-side tracking, Meta CAPI, Google enhanced conversions, or other advertising operations infrastructure Experience with SQL, Python, JavaScript, lightweight scripting, BI tools such as Domo, Looker, Tableau, or Power BI, and paid media platforms such as Google Ads, Bing, LinkedIn Ads, Meta, YouTube, or StackAdapt What the job involves The Growth Marketing Engineer is responsible for building the AI-enabled performance systems that make Restaurant365's Demand Generation engine more scalable, measurable, and effective This senior individual contributor role sits at the intersection of growth marketing, marketing operations, marketing analytics, advertising operations, AI workflow orchestration, and revenue systems Serves as the principal advisor on growth performance architecture, experimentation strategy, and AI-enabled decision frameworks across Marketing, SDR, and RevOps This is not a paid media buying role Instead, this role builds the systems that help channel owners, functional leaders, Marketing Operations, RevOps, and agency partners make better decisions faster 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 #J-18808-Ljbffr Restaurant365