GoToMarketEngineer

## Accountabilities Own and optimize the Salesforce ecosystem, including data architecture, workflow automation, reporting dashboards, integrations, and overall CRM data integrity to ensure reliable GTM operations. Design and maintain lead scoring models, account routing logic, lifecycle definitions, and campaign attribution frameworks that improve pipeline efficiency and conversion rates. Build and enhance GTM data flows across integrated tools, ensuring seamless synchronization between Salesforce, marketing platforms, and third-party systems. Manage intent and signal intelligence systems by maintaining integrations such as UserGems, expanding data sources, and converting signals into prioritized, actionable sales queues. Develop AI-powered workflows and analytical tools that aggregate and synthesize data across systems to surface insights on accounts, pipeline health, and buyer behavior. Own marketing attribution modeling, ensuring accurate measurement of channel performance across paid media, ABM, email, and events, and delivering actionable ROI insights. Automate reporting, alerts, and playbooks for revenue teams to reduce manual analysis and improve decision-making speed and accuracy. Partner closely with Marketing, Sales, and Revenue Operations teams as a strategic and technical advisor for GTM performance optimization. Requirements: 5+ years of experience in GTM Engineering, Revenue Operations, or Marketing Operations within a B2B SaaS or high-growth technology environment. Strong Salesforce expertise, including experience building reports, dashboards, workflows, data models, and troubleshooting complex CRM data issues. Proven experience designing and owning marketing attribution models and analyzing multi-channel performance across ABM, paid media, email, and events. Hands-on experience with intent data or contact intelligence platforms (UserGems experience is a strong plus). Demonstrated use of AI tools (e.g., ChatGPT, Claude, or similar) to automate analys