Superdial

Quality Lead

New York, New York, United StatesFull timeLeadPosted 11 days ago
Apply on Superdial →

Sign into see who you know at Superdial.

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 operation...