SuperDial

healthcare

QualityLead

$120–180k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

healthcare
Problems you'll solve

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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