Senior Revenue Systems Architect - Salesforce & GTM

sunday; Dallas (TX); Hybrid; USD 121,000 - 145,000; Full time

Benefits offered by this job

Competitive Salary

Stock Options

Office in London with remote mix

Free Vacation Policy

100% Employer-Covered Health Insurance

Job summary

sunday is seeking a Revenue Systems Lead to design, configure, and continually improve the systems powering its global revenue organization. You will be a senior technical contributor across Salesforce while owning the broader GTM technology stack and working with APIs, data models, and automation.

Join a fast-moving, collaborative team across the US, UK, and France, driving end-to-end solutions from problem discovery to production and building scalable data foundations for future growth.

Qualifications

• 5 to 8+ years of experience in Revenue Systems, Business Systems, Salesforce, GTM Technology, or a comparable technical role.
• Deep hands-on Salesforce expertise, including data architecture, automation, Flow, permissions, reporting, governance, and integrations.
• Meaningful experience owning and integrating multiple GTM technologies beyond Salesforce, not simply using them.
• Strong understanding of APIs, webhooks, integrations, iPaaS or middleware, automation, and data synchronization.
• Experience designing scalable data models and understanding how information should move across interconnected business systems.
• Strong understanding of end-to-end GTM processes such as lead-to-opportunity, account and territory management, pipeline management, opportunity-to-close, and quote-to-cash.
• A track record of independently translating ambiguous business requirements into technical solutions and shipping them into production.
• Practical experience using AI and automation to improve systems, workflows, or business processes.
• Exceptional problem-solving skills and the ability to diagnose complex systems issues to their root cause.
• A high standard for documentation, data quality, governance, and maintainability.
• Strong communication skills and the ability to work effectively across technical and non-technical teams.
• A high degree of ownership, curiosity, and comfort operating in a fast-moving environment.

Responsibilities

• Design, configure, and continuously improve the systems that power Sunday's global revenue organization.
• Serve as a senior technical contributor across Salesforce while taking meaningful ownership across the broader GTM technology stack.
• Translate business problems into scalable system designs, workflows, data models, integrations, and automation.
• Own and improve how our commercial platforms work together across Salesforce and third-party technologies.
• Implement and optimize integrations spanning sales engagement, contracting, billing, enrichment, data activation, and other GTM workflows.
• Work with APIs, webhooks, iPaaS and automation platforms, data synchronization, and system-of-record architecture.
• Troubleshoot complex issues, identify root causes, and implement durable solutions.
• Help establish a clean, trusted commercial data foundation with scalable data models and governance.
• Identify manual or fragmented workflows and evaluate AI-assisted capabilities to create meaningful business value.
• Own systems initiatives end-to-end from problem to production and document architecture for maintainability.

Skills

Salesforce

GTM tech

APIs & integrations

Data modelling

AI & automation

Documentation

Cross-functional

Tools

Gong

Outreach

HubSpot

DocuSign

GetAccept

Ironclad

Chili Piper

LeanData

ZoomInfo

Zapier

n8n

Workato

Job description

sunday is seeking a Revenue Systems Lead to design, configure, and continually improve the systems powering its global revenue organization. You will be a senior technical contributor across Salesforce while owning the broader GTM technology stack and working with APIs, data models, and automation.

Join a fast-moving, collaborative team across the US, UK, and France, driving end-to-end solutions from problem discovery to production and building scalable data foundations for future growth.