Director, GTM Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the GTM technology ecosystem which includes CRM, CPQ, forecasting tools, data infrastructure, integrations, automation, and internal tools.

• Act as the technical product leader for GTM systems, serving as the primary GTM liaison for Engineering.

• Convert business challenges into well-defined requirements, prioritize roadmaps, and develop scalable solutions.

• Set engineering standards for GTM systems and automation, focusing on security, governance, testing, observability, access controls, documentation, and safe production deployment.

• Create AI-native workflows and internal tools aimed at minimizing manual tasks and enhancing pipeline management, forecasting, deal execution, renewals, reporting, and decision-making.

• Develop straightforward, auditable, secure-first automation and identify when deterministic automation, AI, or human assessment is suitable.

• Construct systems and data foundations that link pipeline, bookings, contracts, product usage, customer activities, renewals, and expansion.

• Collaborate with the Head of Data Intelligence on governed GTM data foundations, models, metadata, definitions, and reliable sources.

• Manage the technical infrastructure for forecasting and GTM execution, which encompasses CRM workflows, data quality, reporting, routing, territory, quota, commission, and capacity plans.

• Steer GTM partnership regarding usage, metering, and billing, including requirements, build-versus-buy evaluations, and systems interconnecting usage, pricing, contracts, billing, and revenue.

• Lead the GTM Engineering function as a player-coach and cultivate a small team.

⛳️ Requirements

• Proven experience in building and leading GTM Engineering, RevOps, Sales Ops, Business Systems, or a related technical GTM function.

• Professional software engineering experience, which includes independently writing, reviewing, debugging, and maintaining production-quality code without relying on AI-assisted development tools.

• Demonstrated history of personally designing, coding, testing, and deploying production systems, integrations, automations, agents, or internal tools.

• Comprehensive understanding of software architecture, APIs, security, governance, testing, observability, access controls, and production engineering practices.

• Extensive hands-on experience with CRM, CPQ, APIs, integrations, workflow automation, and commercial data.

• Experience in creating AI-powered workflows that replace or significantly decrease manual tasks.

• Strong product instincts with the capability to transform ambiguous business challenges into actionable solutions.

• Technical credibility with Product and Engineering teams along with effective communication with GTM leaders.

• Experience collaborating with Data or Analytics Engineering teams on data modeling, governance, metadata, and shared data infrastructure.

• Solid understanding of pipeline, forecasting, quote-to-cash, and customer lifecycle data.

• Comfortable working as a hands-on player-coach with a small team.

• Experience in usage-based or consumption-based businesses, particularly regarding metering and billing infrastructure, is preferred.

• Familiarity with Salesforce, CPQ/billing platforms, SQL, and GTM data pipelines is preferred.

• Experience with AI-assisted development tools like Claude Code and Cursor, and automation platforms such as n8n, Workato, or Retool is preferred.

• Experience in scaling GTM systems during rapid growth or multi-product expansion is preferred.

🏝️ Benefits

• Base salary range determined by work location and job-related skills and experience.

• Comprehensive benefits package.

• Bonus and equity are included in the overall compensation but are excluded from the stated base salary.