GTM Systems Engineer

About the job

Responsibilities

• Own Salesforce end-to-end, including data model, schema, Flows, validation rules, permissions, record pages, DevOps hygiene, and platform reliability across the full revenue lifecycle.
• Build and maintain Salesforce customizations in Apex, SOQL, Flow, and Lightning Web Components, ensuring tests, deployment discipline, and documentation.
• Administer and integrate the surrounding GTM tech stack, including Gong, Clay, Apollo, Lusha, Nooks, Default, LinkedIn Sales Navigator, and DocuSign.
• Architect and own integrations between Salesforce and other GTM systems, including API, OAuth, and access patterns.
• Manage the full user access lifecycle across GTM systems, including provisioning, role/permission changes, and deprovisioning.
• Evaluate, pilot, and consolidate GTM tooling, making informed decisions about what to adopt and retire.
• Own CPQ and quoting controls, including ramp and multi-year structures, approval paths, and guardrails for Deal Desk.
• Manage the contract and entitlement layer, including order form and contract extraction, activated contract records, seat/license rollups, and billing structures.
• Own renewal, expansion, and churn mechanics within the system, including opportunity generation, deduplication, forecasting, and reconciliation.
• Design the customer lifecycle in-system to ensure pipeline, deployment, health, and renewal all read from a single source of truth.
• Design, build, and ship AI capabilities into the GTM motion, such as account health and scoring models, MEDDPICC scorers, account research agents, and enrichment/routing agents.
• Build and extend MCP servers and agent tooling to enable LLMs to safely read and write GTM data.
• Establish evaluations, monitoring, confidence scoring, and guardrails for all AI capabilities to ensure they are observable, reversible, explainable, and measured against business metrics.
• Exercise judgment on the appropriate application of AI within the GTM motion, considering genuine benefits versus risks and human-in-the-loop requirements.
• Track the AI and automation landscape and integrate the most effective solutions into Rogo's GTM operations.
• Treat data quality as a production control, implementing deduplication, segmentation, domain normalization, and explicit override fields.
• Design for reporting at the point of data capture, ensuring owners, reason codes, confidence tiers, and evidence fields are included in the schema.
• Execute population-scale backfills with proper auditing, validation, and segmented loading processes.
• Serve as the primary escalation point for GTM system issues, focusing on root cause resolution within the system.

Requirements

• Extensive hands-on experience administering Salesforce as a system of record.
• Deep understanding of Salesforce data model, schema, Flows, validation rules, permissions, and record pages.
• Proficiency in building Salesforce customizations using Apex, SOQL, Flow, and Lightning Web Components.
• Experience with CPQ and quoting controls.
• Familiarity with contract and entitlement management processes.
• Experience designing and implementing customer lifecycle management within CRM systems.
• Experience building and integrating AI capabilities into business processes.
• Understanding of how LLMs can interact with GTM data.
• Experience with data quality management and reporting.
• Ability to evaluate, pilot, and consolidate technology tooling.
• Strong judgment in applying AI and automation effectively.
• Experience owning GTM systems in a revenue, sales, or RevOps organization for 5+ years.