SuperDial
healthcare
OperationsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Operations Engineer at SuperDial. Skills: process management, cross-functional coordination, vendor/stakeholder management, operational metrics, resource planning, continuous improvement, systems design, automation, analytics, process optimization. support and scale enterprise deployment operations. building the systems, tooling, automations, and reporting infrastructure that power successful customer implementations”
What You'll Achieve.
scale enterprise deployment operations; power successful customer implementations; streamline workflows; improve operational visibility; automate manual processes; scale customer onboarding and production rollouts efficiently; maintain operational quality; improve deployment execution and reliability; streamline onboarding and go-live processes; enable the deployment organization to scale efficiently; provides visibility into deployment progress, bottlenecks, and outcomes; Ensure data accuracy, reporting consistency, and operational transparency; reduce operational overhead; improve throughput and consistency; Continuously improve deployment speed, quality, and scalability through automation; Improve workflow reliability and operational performance across deployment operations
Industry & Context.
systems-thinking; operational problem-solving skills; solving operational challenges; Analyze operational inefficiencies; identify opportunities for optimization; troubleshooting; root cause analysis; process improvement initiatives
What They're Looking For.
Must Have
3+ years in Operations Engineering, Solutions Engineering, Technical Operations, Analytics Engineering, Business Systems, or similar roles, 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, 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
What You'll Do.
support and scale enterprise deployment operations
and reporting infrastructure that power successful customer implementations
improve operational visibility
and automate manual processes across enterprise deployments
scaling customer onboarding and production rollouts efficiently while maintaining operational quality
solving operational challenges through systems design
and process optimization
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
Build and maintain dashboards across deployment performance
and customer workflows
Develop reporting infrastructure that provides visibility into deployment progress
reporting consistency
and operational transparency
Create scalable reporting systems for both internal teams and customer stakeholders
Identify manual operational bottlenecks across deployments and customer operations
and workflow improvements that reduce operational overhead
Partner with Operations and Engineering teams to improve throughput and consistency
Continuously improve deployment speed
and scalability through automation
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
and process improvement initiatives
How You'll Work.
Team & Collaboration
work closely with Deployment Leads, Quality, AI Engineering, Product, and Customer teams; Work closely with Deployment Ops, Quality, AI Engineering, Product, and Customer teams; Serve as a bridge between deployment operations and technical implementation; Comfortable working cross-functionally with both technical and non-technical teams
Full Job Description
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 e 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, quali
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