Job Opportunities API

About Us: Wrapbook is the AI platform for production finance. We’re building a system of action that puts finance teams in control of their whole production, from payroll, to spend, to accounting. Built for feature films, TV, and commercials, Wrapbook is trusted by teams at Netflix, Paramount, Anonymous Content, and more. With backing from Andreessen Horowitz, Bessemer Venture Partners, and Jeffrey Katzenberg's WndrCo, our team of 350+ is using AI to transform how finance teams work and empower them to do more with less. 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. What You'll Do: 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 - Build and integrate APIs connecting Salesforce to tools across our GTM stack — including chat and deflection, telephony, marketing automation, sales engagement, BI, and data pipeline platforms — ensuring clean data flow, reliable handoffs, and schema integrity across systems. Familiarity with Snowflake and dbt as the data layer is a plus. - 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