We’re hiring an Operations Engineer to support and scale our enterprise deployment operations. This role will sit directly within the Deployment team and focus on building the systems, tooling, automations, and reporting infrastructure that power successful customer implementations.
You will work closely with Deployment Leads, Quality, AI Engineering, Product, and Customer teams to streamline workflows, improve operational visibility, and automate manual processes across enterprise deployments. This role is critical to scaling customer onboarding and production rollouts efficiently while maintaining operational quality.
This is an ideal role for someone who enjoys solving operational challenges through systems design, automation, analytics, and process optimization in a fast-moving environment.
About the Role
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Build Infrastructure for Enterprise Deployments
Design and improve operational systems that support enterprise customer deployments
Build scalable workflows and tooling that improve deployment execution and reliability
Partner with Deployment Leads to streamline onboarding and go-live processes
Help create operational infrastructure that enables the deployment organization to scale efficiently
Own Deployment Dashboards & Reporting
Build and maintain dashboards across deployment performance, operational KPIs, quality metrics, and customer workflows
Develop reporting infrastructure that provides visibility into deployment progress, bottlenecks, and outcomes
Ensure data accuracy, reporting consistency, and operational transparency
Create scalable reporting systems for both internal teams and customer stakeholders
Drive Workflow Automation
Identify manual operational bottlenecks across deployments and customer operations
Build automations, internal tools, and workflow improvements that reduce operational overhead
Partner with Operations and Engineering teams to improve throughput and consistency
Continuously improve deployment speed, quality, and scalability through automation
Solve Operational Problems at the Systems Level
Analyze operational inefficiencies and identify opportunities for optimization
Build monitoring and operational alerting systems
Improve workflow reliability and operational performance across deployment operations
Support troubleshooting, root cause analysis, and process improvement initiatives
Cross-Functional Collaboration
Work closely with Deployment Ops, Quality, AI Engineering, Product, and Customer teams
Translate operational pain points into scalable systems and tooling solutions
Serve as a bridge between deployment operations and technical implementation
Who You Are
3+ years in Operations Engineering, Solutions Engineering, Technical Operations, Analytics Engineering, Business Systems, or similar roles
Strong systems-thinking and operational problem-solving skills
Experience building dashboards, reporting systems, automations, and operational tooling
Comfortable working cross-functionally with both technical and non-technical teams
Highly analytical, detail-oriented, and execution-driven
Strong ownership mindset with the ability to thrive in fast-moving environments
Nice to Have
Experience with SQL, Python, Retool, Zapier, Make, Airtable, or workflow automation tools
Experience building operational analytics and reporting infrastructure
Experience in healthcare, RCM, AI operations, or enterprise SaaS
Familiarity with APIs, integrations, and workflow orchestration
Experience supporting customer deployments or implementation operations
Who We Are
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 $100,000–175,000 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.
Skills Required
- 3+ years in Operations Engineering, Solutions Engineering, Technical Operations, Analytics Engineering, Business Systems, or similar roles
- Strong systems-thinking and operational problem-solving skills
- Experience building dashboards, reporting systems, automations, and operational tooling
- Comfortable working cross-functionally with technical and non-technical teams
- Highly analytical, detail-oriented, and execution-driven
What We Do
SuperDial is a voice AI company automating the phone calls that drain time and money from healthcare operations. Its voice AI agents handle benefits verification, prior authorization, claims follow-up, credentialing, and other RCM workstreams, freeing up revenue cycle teams to focus on what matters. Customers include leading provider organizations, billing companies, and payers.
