Quality Lead

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 & Operational Excellence

• Identify operational inefficiencies and quality gaps across deployments and customer workflows
• Build QA processes, 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, speed, and scalability through process optimization
• Standardize workflows and documentation across deployment operations

Solve Quality Problems at the Systems Level

• 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, root cause analysis, and continuous improvement initiatives
• Identify trends and proactively implement preventative quality measures

Cross-Functional Collaboration

• Work closely with Deployment Ops, AI Engineering, Product, Customer Success, and Operations teams
• Translate operational pain points into scalable quality processes and tooling solutions
• Serve as a bridge between deployment operations and technical implementation teams
• Help align quality standards across customer deployments and internal operations

Who You Are

• 4+ years in Quality Operations, QA, Deployment Operations, Implementation Operations, Technical Operations, or similar roles
• Strong 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
• Strong 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

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 $120,000-180,000 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 leveling considerations.