Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global financial technology company provides a unified payments and financial platform that enables businesses worldwide to manage accounts, payments, spend management, treasury, and embedded finance solutions at scale. With a presence across multiple international offices and a strong focus on innovation, the organization is building the future of global banking through cutting-edge technology, data, and AI-driven solutions.
The organization is seeking a Director, GTM Engineering to lead and transform the technology backbone supporting its go-to-market operations. This role sits at the intersection of Data & AI, Revenue, and Growth functions, with responsibility for evolving the GTM technology stack into a highly automated, scalable, and AI-enabled platform.
The successful candidate will combine strategic leadership with hands-on technical expertise, driving initiatives across CRM, marketing automation, analytics, and revenue systems while building a high-performing engineering team and partnering closely with business stakeholders.
Key Responsibilities
- Own the end-to-end GTM architecture across CRM, marketing automation, analytics, and sales engagement platforms.
- Define and maintain the target architecture connecting advertising, web, marketing technology, CRM, data, and AI systems.
- Streamline data and event flows across GTM platforms while standardizing integrations and engineering patterns.
- Design foundational capabilities for AI-powered growth, including event streams, data contracts, and APIs.
- Hire, lead, and mentor a high-caliber engineering team focused on revenue and marketing systems.
- Develop and execute a roadmap balancing immediate operational improvements with long-term platform investments.
- Partner with Growth, Marketing, Revenue Operations, and regional stakeholders to build scalable GTM systems.
- Enhance lead routing, experimentation frameworks, customer profiling, and lifecycle management processes.
- Establish standards for data governance, attribution, privacy, retention, and deletion workflows.
- Implement monitoring, alerting, and quality assurance practices to ensure GTM system reliability.
- Drive the adoption of reusable templates, components, and integration patterns across the organization.
Required Qualifications
- 15+ years of experience in software or data engineering, including extensive experience with GTM, revenue, or marketing systems in high-growth environments.
- Strong hands-on expertise in APIs, data models, workflow engines, and system architecture.
- Proven experience with Salesforce, marketing automation platforms (e.g., Marketo or similar), and data analytics ecosystems.
- Demonstrated success leading engineering teams and delivering complex GTM system enhancements.
- Experience partnering with Data teams on experimentation, attribution, metrics, and continuous optimization initiatives.
- Excellent communication and stakeholder management skills across technical and executive audiences.
- Ability to translate strategic business objectives into actionable roadmaps and measurable outcomes.
Preferred Qualifications
- Experience within fintech, payments, or financial infrastructure organizations.
- Familiarity with regulatory requirements and data localization practices.
- Experience implementing AI/ML-driven GTM capabilities, such as AI agents, lead scoring, or workflow automation.
- Proven track record of establishing new engineering functions or teams from the ground up.
- Experience working in fast-paced, experimentation-driven organizations with strong collaboration between Product, Data, and GTM teams.
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