We’re hiring an Automation Engineer to build the operational infrastructure that powers scalable enterprise deployments. This role will focus on workflow automation, operational tooling, reporting systems, and dashboard ownership across the business.
You will work closely with Operations, AI Engineering, Product, and Customer teams to streamline workflows, automate manual processes, and build visibility into operational performance. This role sits at the intersection of operations, systems, and engineering and is critical to scaling the company efficiently.
This is an ideal role for someone who enjoys solving operational problems through automation, systems design, and process optimization in a fast-moving, high-growth environment.
Identify and automate manual operational processes across deployments and production operations
Build internal tools, scripts, automations, and workflows that improve efficiency and scalability
Partner with Ops and Engineering teams to reduce operational overhead and increase throughput
Improve reliability and operational consistency across customer workflows
Build and maintain operational dashboards across customer deployments, quality metrics, and production operations
Develop reporting infrastructure for leadership visibility and customer reporting
Ensure data accuracy, operational transparency, and KPI tracking
Create scalable reporting systems that support rapid company growth
Improve internal systems, tooling, and workflow architecture
Support integrations between operational platforms, customer systems, and internal tools
Partner with AI Engineering and Product teams on workflow instrumentation and monitoring
Help design scalable operational infrastructure for enterprise deployments
Analyze operational bottlenecks and identify automation opportunities
Reduce repetitive manual work through systems and tooling improvements
Build monitoring, alerting, and operational visibility systems
Continuously improve deployment speed, quality, and scalability
Work closely with Deployment Ops, Quality, AI Engineering, Product, and Customer teams
Translate operational pain points into scalable technical solutions
Act as a bridge between business operations and technical implementation
2+ years in Automation Engineering, Solutions Engineering, Business Systems, Analytics Engineering, Operations Engineering, or similar technical operations roles
Strong technical and operational problem-solving skills
Experience building automations, dashboards, and internal operational tooling
Comfortable working cross-functionally with both technical and non-technical teams
Strong systems-thinking mindset with high ownership and execution orientation
Analytical, detail-oriented, and highly resourceful
Experience with SQL, Python, Retool, Zapier, Make, Airtable, or workflow automation platforms
Experience building operational dashboards and reporting systems
Experience in healthcare, RCM, AI operations, or enterprise SaaS
Experience supporting high-growth operational teams
Familiarity with API integrations and workflow orchestration
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare!
The base salary for this role ranges from $140,000–185,000 depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications — we’re always open to exceptional talent.