REPAY Offices

REPAY is headquartered in Atlanta and has 4 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Most jobs are hybrid requiring 3 days per week onsite. Technology, Product, and Sales roles often have the ability to be fully remote.

Typical time on-site: Flexible

U.S. Office Locations

HQ
Atlanta

Atlanta Headquarters

3060 Peachtree Rd NW, Atlanta, Georgia, United States, 30305 2234

Fort Worth

Fort Worth Office

1300 Summit Ave, Fort Worth, Texas, United States, 76102 4414

Sandy

Salt Lake City Office

230 W Towne Ridge Pkwy, Sandy, Utah, United States, 84070 2005

United States

Tempe Office

United States

Recently posted jobs

An Hour AgoSaved
In-Office or Remote
Headquarters, AZ, USA
Fintech • Hardware • Payments
Own the strategy, roadmap, backlog, requirements, and delivery of enterprise payment processing services. Develop API-based payment products, define use cases and acceptance criteria, collaborate with architecture and technology teams, engage clients, and support post-launch initiatives. The role requires strong expertise in card payments, acquiring rules, cloud technologies, microservices, Agile delivery, and scalable API platforms, along with stakeholder communication and up to 15% travel.
2 Hours AgoSaved
In-Office or Remote
Headquarters, AZ, USA
Fintech • Hardware • Payments
Manages and grows a portfolio of software partners within REPAY’s Consumer Payments division. Responsibilities include executive relationship management, partner health monitoring, renewals, contract negotiations, upselling, cross-selling, enablement, product adoption, issue escalation, CRM management, reporting, and revenue forecasting. The role partners cross-functionally with Sales, Product, Engineering, Operations, Sales Engineering, and Technical Account Management to improve retention, partner satisfaction, and payment volume growth.
2 Hours AgoSaved
In-Office or Remote
Headquarters, AZ, USA
Fintech • Hardware • Payments
Designs, builds, and operationalizes production data science, machine learning, generative AI, and LLM systems. Responsibilities include data and AI pipelines, predictive models, RAG applications, experimentation, MLOps, model serving, monitoring, governance, cloud migration, and business analytics. The role partners with Product, Engineering, BI, and Data teams to translate business problems into scalable AI solutions and measurable product or operational improvements.