GTM Automation & AI Engineer (Revenue Ops)

sunday

Atlanta (GA)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Stock Options
Office + remote work balance
Vacation policy
Health insurance
401K plan

Job summary

sunday is building the fastest, simplest way to pay in restaurants. We are seeking a Senior Go-to-Market Engineer to design and implement scalable GTM data, enrichment, and automation systems that power our revenue engine across multiple markets.

You will shape AI-enabled workflows and mentor other engineers while partnering with Sales, Marketing, and Data teams. The role is hands-on, requiring architectural thinking, modern workflows, and a keen eye for data governance and reliability as we

Qualifications

  • Experience with Salesforce and commercial data governance in Salesforce is core to this role.
  • Hands-on technical ability with APIs, SQL, scripting, or low-code platforms to solve business problems.
  • Experience partnering with business stakeholders to translate ambiguous problems into practical solutions.

Responsibilities

  • Build and own the GTM data and enrichment engine to maintain global account and contact universe.
  • Design and build automation for inbound/outbound motions and enrichment workflows.
  • Lead AI-enabled workflows to improve seller productivity and data quality.
  • Collaborate with Sales, Marketing, Revenue Ops, Data, and Systems to deliver scalable tech solutions.

Skills

Salesforce proficiency
APIs/SQL
Automation
Cross-functional collaboration
Mentorship

Tools

CRM platforms

Job description

sunday is building the fastest, simplest way to pay in restaurants. We are seeking a Senior Go-to-Market Engineer to design and implement scalable GTM data, enrichment, and automation systems that power our revenue engine across multiple markets.

You will shape AI-enabled workflows and mentor other engineers while partnering with Sales, Marketing, and Data teams. The role is hands-on, requiring architectural thinking, modern workflows, and a keen eye for data governance and reliability as we

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