Manager, GTM Systems Engineering [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, GTM Systems Engineering based in United States.

This role sits at the center of the global go-to-market technology ecosystem, responsible for leading the engineering function that powers Salesforce and its connected systems. You will oversee a team of Salesforce developers and full-stack engineers building scalable, reliable, and high-performance GTM platforms. The position blends hands-on technical leadership with strategic system design, ensuring the architecture supporting sales, marketing, and customer operations evolves with business needs. You will play a key role in defining engineering standards, improving development practices, and driving the adoption of AI-assisted engineering workflows. Working closely with GTM Operations and cross-functional stakeholders, you will translate business requirements into robust technical solutions. This is a high-impact leadership role where engineering decisions directly shape revenue operations and organizational scalability. The ideal candidate thrives at the intersection of platform engineering, systems architecture, and cross-functional business enablement.

Accountabilities:

• Lead, manage, and mentor a global team of Salesforce and full-stack engineers working across Apex, Lightning Web Components, Python, and Ruby on Rails
• Define and enforce engineering best practices including Git workflows, CI/CD pipelines, code reviews, automated testing, and release management
• Own the architecture and design governance of the GTM systems ecosystem, ensuring scalability, reliability, and long-term maintainability
• Oversee end-to-end engineering delivery processes including sprint planning, prioritization, estimation, and stakeholder alignment
• Design and optimize integration patterns between Salesforce and adjacent systems such as CPQ, marketing automation, and internal applications
• Establish and monitor system performance, delivery velocity, and operational health metrics to proactively identify and resolve issues
• Drive adoption of AI-assisted development tools and establish governance standards for responsible and effective usage across the team
• Partner with GTM Operations and business stakeholders to translate requirements into scalable, well-structured engineering solutions
• Ensure data integrity, security, and compliance across all GTM systems and integrations

Requirements:

• 7+ years of experience in software engineering or Salesforce engineering with strong hands-on development in Apex, Lightning Web Components, and Flow
• 2+ years of experience in people management leading engineering or technical teams
• Strong proficiency in at least one general-purpose programming language such as Python or Ruby on Rails
• Proven experience implementing engineering best practices including CI/CD, version control, automated testing, and code review processes
• Experience designing and maintaining complex Salesforce integrations using REST/SOAP APIs and middleware systems
• Demonstrated experience running agile development workflows using tools such as Jira for sprint planning and delivery management
• Hands-on experience with AI coding tools and a clear perspective on scaling their adoption across engineering teams
• Strong communication skills with the ability to engage effectively with executives and cross-functional business leaders
• Ability to make architectural decisions balancing native Salesforce capabilities with external service development

Benefits:

• Competitive salary with equity grants
• Flexible vacation policy to support work-life balance
• Comprehensive health insurance coverage, including medical, dental, and vision
• Paid parental leave and retirement savings plan
• Remote-friendly and flexible working arrangements
• Annual wellness and learning and development budgets
• Home internet and phone stipends
• Opportunity to contribute to a high-growth company preparing for IPO
• Inclusive, diverse, and collaborative global work environment

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.