GTM Systems Engineer

About the role

Wrapbook is a smart, intuitive platform that makes production payroll and accounting easier, faster, and more secure. We provide a unified payroll platform that seamlessly connects your entire team-production, accounting, cast, and crew-all in one place. Wrapbook empowers production teams to manage projects, pay cast and crew, track expenses, and generate data-driven insights, while enabling workers to manage timecards, track pay, and onboard to new projects from any device. Wrapbook brings clarity and dependability to production payroll, while increasing the productivity of your whole team. Trusted by companies of all sizes, Wrapbook powers payroll for some of the industry's top production companies, including SMUGGLER, Tuff, and GhostRobot. Our growing team of 250+ people across the USA and Canada, including entertainment and technology experts from SAG-AFTRA, DGA, IATSE, Teamsters, Amazon, Microsoft, Facebook, and more. Wrapbook is backed by top-tier investors, including Jeffrey Katzenberg's WndrCo, Andreessen Horowitz, and A* Capital. We have raised $130M and are in a strong financial position. The Opportunity - GTM Systems Engineer (Remote - USA / Canada) We're looking for a GTM Systems Engineer to join Revenue Operations - a hands-on technical builder who designs and ships the systems that power Wrapbook's go-to-market motion. You'll work directly with our GTM Systems Architect and GTM Engineers across pre- and post-sale. The work is hands-on and technically deep. You'll write Apex triggers, build complex Flows, architect cross-object data models, and design integrations across a multi-tool GTM stack - spanning marketing automation, sales engagement, BI, customer support and self-service, telephony, and an expanding set of AI-native workflows and agent-based automations. Currently, Salesforce is our backbone and the primary build environment, but our direction is AI-native - agents, orchestration layers, and workflows that span tools. The right person moves fast, asks good questions, owns their work end-to-end, and knows how to turn messy business requirements into durable technical solutions. They're a curious builder - someone who experiments outside their job description, picks up new patterns fast whether that's AI frameworks, full-stack tooling, or emerging GTM tech, and brings what they learn back into the work.

Responsibilities

• Build & Develop
• Design, build, and maintain Salesforce automations including Flows, Apex triggers, batch jobs, and Lightning Web Components - and increasingly, agent-based and AI-native workflows - with clean architecture and long-term maintainability as the baseline expectation.
• Develop scalable data models and object architectures across pre-sale and post-sale GTM workflows
• Design and evaluate AI-native workflows across Salesforce and adjacent tools - knowing when an agent or orchestration layer creates genuine leverage, when traditional automation is more reliable and auditable, and how to build either with appropriate guardrails and human-in-the-loop controls.
• Build modular, reusable components that can flex as business processes evolve.
• Own the Development Lifecycle
• Translate business requirements into technical specifications - whether the solution is Salesforce-native, an integration, or an AI-native workflow - ensuring clarity before anything is built.
• Design and execute structured UAT processes - writing test cases, coordinating stakeholder testing, and resolving issues before deployment.
• Manage your own backlog: prioritize work, communicate status proactively, and flag blockers before they become problems.
• Document what you build so the team can maintain it, not just you.
• Instrument & Improve
• Instrument SLAs, funnel metrics, and operational KPIs across Salesforce and connected systems, enabling leading-indicator visibility for the GTM team.
• Monitor the health of automations, integrations, and AI-native workflows in production - with error logging, alert triggers, and failure handling that surfaces problems before users do.
• Identify and fix data quality issues - duplicate records, 15 vs. 18-digit ID mismatches, stale field values - that erode reporting reliability.
• Build and maintain dashboards and reports that surface the right information for WBRs, MBRs, and QBRs.
• Proactively identify where process breaks down in the data and bring solutions to the table.
• Partner Cross-Functionally
• Contribute to solution design before a spec is finalized - ask the right questions, pressure-test assumptions, and ensure requirements are clear and complete before anything is built. If scope is shifting, surface it early

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