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.
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
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
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
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
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
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
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
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.
Skills Required
- 4+ years in Quality Operations, QA, Deployment Operations, Implementation Operations, or similar roles
- Experience building QA processes, operational workflows, reporting systems, and quality frameworks
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.
