RevOps Architect for Global GTM & Data Integrity

sunday; Chicago (IL); On-site; USD 180,000 - 260,000; Full time

Job summary

sunday is transforming how restaurants pay and operate, with a fast-growing RevOps leader driving the GTM tech stack. You will architect, own, and optimize Salesforce, Salesloft, and related tools, enabling scalable processes across SMB, mid-market, and enterprise accounts.

In this high-velocity role, you’ll lead change, align stakeholders, and mentor a growing GTM Systems team. You’ll partner with Sales, Marketing, Finance, and Product to maximize revenue and data integrity.

Qualifications

• Instrument and manage key GTM systems such as Salesforce, Salesloft, and Nooks.
• Translate ambitious business strategy into scalable RevOps frameworks.
• Lead cross-functional GTM initiatives with a focus on data quality and governance.

Responsibilities

• Own the RevOps tech stack strategy and system integrations for scale.
• Define long-term GTM architecture aligning data, tools, and processes.
• Lead change management, enablement, and adoption across GTM teams.
• Partner with Sales, Marketing, Finance, and Data to deliver results.
• Oversee vendors and budget, drive automation and efficiency improvements.
• Drive AI-enabled improvements to forecasting, productivity, and data quality.

Skills

RevOps leadership

Salesforce

Salesloft

Nooks

Data governance

Process optimization

Cross-functional collaboration

KPIs & analytics

Team leadership

AI enablement

Education

Bachelor's degree in a related field

Tools

Salesloft

Nooks

HubSpot

Docusign

CPQ

Job description

sunday is transforming how restaurants pay and operate, with a fast-growing RevOps leader driving the GTM tech stack. You will architect, own, and optimize Salesforce, Salesloft, and related tools, enabling scalable processes across SMB, mid-market, and enterprise accounts.

In this high-velocity role, you’ll lead change, align stakeholders, and mentor a growing GTM Systems team. You’ll partner with Sales, Marketing, Finance, and Product to maximize revenue and data integrity.