Revenue Systems Engineer
Employment Info
JOB DETAILS
Responsibilities
- Design, build, and maintain end-to-end ML systems including training pipelines, model serving, and API deployment for revenue-impacting use cases (scoring, classification, prediction).
- Develop and operate AI-powered content generation and analysis systems that produce production-ready output at scale.
- Build evaluation pipelines, feedback loops, and regression monitoring frameworks to ensure ongoing model performance.
- Own the full lifecycle of deployed AI systems, including architecture, deployment, performance monitoring, and continuous improvement.
- Identify high-value automation opportunities across the revenue workflow and design AI-first solutions to address them.
- Design and operate high-throughput data pipelines processing millions of records per day across both batch and real-time modes.
- Build and maintain backend APIs and processing services that integrate HubSpot, Xero, Redshift, and other revenue-critical systems.
- Architect scalable, low-latency data infrastructure that supports operational, analytical, and reporting needs.
- Develop commission calculation engines, financial reconciliation systems, and contract data extraction pipelines.
- Own data quality monitoring, alerting, and incident response for production systems.
- Build internal tools and dashboards (React, Python) that are adopted and used daily across sales, operations, and management teams.
- Develop email processing, workflow classification, and automation APIs that remove manual work from operational processes.
- Create reporting and analytics services for enterprise clients and account managers.
- Build training data systems and evaluation infrastructure that enable the team to develop and iterate on AI capabilities.
- Maintain and improve the existing portfolio of production RevOps tools with a focus on reliability and performance.
- Take end-to-end technical ownership of projects, from architecture and scoping through to production deployment and ongoing operation.
- Document systems, APIs, and data models to reduce key-person dependency and enable team scaling.
- Establish and maintain engineering best practices including code review, testing, monitoring, and deployment standards.
- Partner with the Senior RevOps Manager to identify the highest-leverage technical investments and translate business needs into engineering specifications.
- Upskill and mentor the RevOps Manager in Python, automation, and AI tooling.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
#DesignFintech #GlobalDesigners
#FintechInnovation #CreativeJobs
#DesignHub
#Tech Meets Design
#DesignerNetwork
#Myausjob
Related Jobs
Your Next Career Move Starts Here