SuperDial
healthcare
QualityLead
Neural analysis suggests this role is
optimal for Mid candidates.
“Quality Lead at SuperDial. Skills: quality operations, QA, deployment operations, implementation operations, technical operations, process management, cross-functional coordination, vendor/stakeholder management, operational metrics, resource planning, continuous improvement. own and scale quality operations across enterprise deployment and AI production workflows. building the processes, systems, QA infrastructure, and operational standards that ensure high-quality customer implementations and ”
What You'll Achieve.
ensure high-quality customer implementations and reliable AI performance at scale; improve onboarding quality and go-live readiness; enable the deployment organization to scale efficiently; reduce errors and improve consistency; improve deployment reliability and customer outcomes; Continuously improve deployment quality, speed, and scalability
Industry & Context.
systems-thinking and operational problem-solving skills; solving ambiguous process problems; Analyze quality failures and operational issues to identify root causes and long-term solutions; Support troubleshooting, root cause analysis, and continuous improvement initiatives
What They're Looking For.
Must Have
4+ years in Quality Operations, QA, Deployment Operations, Implementation Operations, Technical Operations, or similar roles, systems-thinking and operational problem-solving skills, Experience building QA processes, operational workflows, reporting systems, and quality frameworks, 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, Excellent communication and organizational skills
Nice to Have
Experience with SQL, Python, Retool, Airtable, Zendesk, Notion, or workflow automation tools, Experience building operational QA programs and reporting infrastructure, Experience in healthcare, RCM, AI operations, or enterprise SaaS, Familiarity with APIs, integrations, and workflow orchestration, Experience supporting enterprise customer deployments or implementation operations, Experience working with AI quality evaluation, annotation, or operational review systems
What You'll Do.
own and scale quality operations across enterprise deployment and AI production workflows
building the processes
and operational standards that ensure high-quality customer implementations and reliable AI performance at scale
define quality standards
improve operational consistency
identify failure patterns
drive continuous improvement across enterprise deployments
Design and improve quality systems that support enterprise customer deployments
Build scalable QA workflows
and operational standards
Partner with Deployment Leads to improve onboarding quality and go-live readiness
Help create quality infrastructure that enables the deployment organization to scale efficiently
Establish repeatable quality assurance processes across customer implementations
Build and maintain dashboards across deployment quality
and workflow performance
Develop reporting infrastructure that provides visibility into quality trends
and operational risks
Ensure quality consistency
and operational transparency
Create scalable reporting systems for both internal stakeholders and customer-facing teams
Define and track quality benchmarks across deployments and production operations
Identify operational inefficiencies and quality gaps across deployments and customer workflows
escalation frameworks
and operational improvements that reduce errors and improve consistency
Partner with Operations and Engineering teams to improve deployment reliability and customer outcomes
Continuously improve deployment quality
and scalability through process optimization
Standardize workflows and documentation across deployment operations
Analyze quality failures and operational issues to identify root causes and long-term solutions
Build monitoring and quality alerting systems
Improve workflow reliability and operational performance across deployment operations
Support troubleshooting
and continuous improvement initiatives
Identify trends and proactively implement preventative quality measures
How You'll Work.
Team & Collaboration
work closely with Deployment Leads, AI Engineering, Product, Operations, and Customer teams; Partner with Deployment Leads; Partner with Operations and Engineering teams; Work closely with Deployment Ops, AI Engineering, Product, Customer Success, and Operations teams; Serve as a bridge between deployment operations and technical implementation teams; Help align quality standards across customer deployments and internal operations
Communication Scope
Excellent communication and organizational skills
Full Job Description
We’re hiring a Quality Lead to own and scale quality operations across our enterprise deployment and AI production workflows. This role will sit directly within the Deployment organization and focus on building the processes, systems, QA infrastructure, and operational standards that ensure high-quality customer implementations and reliable AI performance at scale. You will work closely with Deployment Leads, AI Engineering, Product, Operations, and Customer teams to define quality standards, improve operational consistency, identify failure patterns, and drive continuous improvement across enterprise deployments. This role is critical to maintaining deployment excellence as SuperDial scales customer onboarding and production rollouts. This is an ideal role for someone who enjoys building operational rigor, improving systems quality, solving ambiguous process problems, and driving scalable quality initiatives in a fast-moving environment. ABOUT THE ROLE BUILD QUALITY INFRASTRUCTURE FOR ENTERPRISE DEPLOYMENTS - Design and improve quality systems that support enterprise customer deployments - Build scalable QA workflows, review processes, and operational standards - Partner with Deployment Leads to improve onboarding quality and go-live readiness - Help create quality infrastructure that enables the deployment organization to scale efficiently - Establish repeatable quality assurance processes across customer implementations OWN QUALITY METRICS & REPORTING - Build and maintain dashboards across deployment quality, operational KPIs, AI accuracy, and workflow performance - Develop reporting infrastructure that provides visibility into quality trends, failure patterns, and operational risks - Ensure quality consistency, process adherence, and operational transparency - Create scalable reporting systems for both internal stakeholders and customer-facing teams - Define and track quality benchmarks across deployments and production operations DRIVE PROCESS IMPROVEMENT & OPE
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