GTM Engineer

About the role

The GTM Engineer supports the operational backbone of ILS's revenue motion, collaborating with Sales, Marketing, and Customer Success. The role involves CRM & Marketing Platform Support, Reporting & Analytics, Marketing Operations Support, Sales Enablement & Process Documentation, and AI-Assisted Operations.

Responsibilities

• CRM & Marketing Platform Support: Serve as the day-to-day Salesforce support resource for Sales, Marketing, and Customer Success, including answering operational questions, troubleshooting data issues, and helping teams use the platform effectively. Administer both platforms, maintaining fields, page layouts, user access, workflows, and process automations as directed. Ensure data quality across Salesforce and HubSpot, flagging inconsistencies, investigating root causes, and coordinating fixes. Document platform changes and communicate them clearly to affected teams.
• Reporting & Analytics: Produce the weekly Sales Slides covering pipeline, win/loss rates, new business vs. expansion, rep performance, and stage conversion, all sourced from Salesforce. On a quarterly, annual, and ad hoc basis, pull and present Power BI reports bridging Salesforce and our accounting systems, covering financial performance by overall business, customer segment, and product line with both summary and drill-down views for leadership. Respond to ad hoc data and reporting requests from Sales, Marketing, and CS leadership.
• Marketing Operations Support: Support the marketing lead queue by helping route, qualify, and assign inbound leads from digital channels and events. Assist with campaign execution, pulling audience lists from Salesforce and HubSpot, supporting segmentation, and helping with post-campaign reporting. Administer the Popl digital engagement program.
• Sales Enablement & Process Documentation: Manage the ILS Inside Sales shared inbox by routing inquiries, maintaining SLA, and escalating appropriately. Create and maintain clear process documentation and how-to guides (e.g., using Scribe) so teams can self-serve common questions in Salesforce and HubSpot. Communicate workflow and system changes to affected teams in plain language before they go live.
• AI-Assisted Operations: Identify and apply AI tools that reduce manual effort in reporting, documentation, and routine operational tasks. Help configure AI-assisted capabilities within Salesforce and HubSpot where available (e.g., suggested actions, auto-summaries, lead scoring). Proactively identify where AI can remove friction in the revenue workflow, test it, and bring a concrete recommendation rather than a general observation.