We’re hiring an Operations Engineer to support and scale our enterprise deployment operations. This role will sit directly within the Deployment team and focus on building the systems, tooling, automations, and reporting infrastructure that power successful customer implementations. You will work closely with Deployment Leads, Quality, AI Engineering, Product, and Customer teams to streamline workflows, improve operational visibility, and automate manual processes across enterprise deployments.

Design and improve operational systems that support enterprise customer deployments. Build scalable workflows and tooling that improve deployment execution and reliability. Partner with Deployment Leads to streamline onboarding and go-live processes and create infrastructure that enables the deployment organization to scale efficiently.

Build and maintain dashboards across deployment performance, operational KPIs, quality metrics, and customer workflows. Develop reporting infrastructure that provides visibility into deployment progress, bottlenecks, and outcomes. Ensure data accuracy, reporting consistency, and operational transparency for both internal teams and customer stakeholders.

Identify manual operational bottlenecks across deployments and customer operations. Build automations, internal tools, and workflow improvements that reduce operational overhead. Partner with Operations and Engineering teams to improve throughput and consistency and continuously improve deployment speed, quality, and scalability through automation.

Analyze operational inefficiencies and identify opportunities for optimization. Build monitoring and operational alerting systems, improve workflow reliability and operational performance, and support troubleshooting, root cause analysis, and process improvement initiatives.

Work closely with Deployment Ops, Quality, AI Engineering, Product, and Customer teams. Translate operational pain points into scalable systems and tooling solutions and serve as a bridge between deployment operations and technical implementation.

3+ years in Operations Engineering, Solutions Engineering, Technical Operations, Analytics Engineering, Business Systems, or similar roles. Strong systems-thinking and operational problem-solving skills. Experience building dashboards, reporting systems, automations, and operational tooling. Comfortable working cross-functionally with both technical and non-technical teams. Highly analytical, detail-oriented, and execution-driven with a strong ownership mindset.

Experience with SQL, Python, Retool, Zapier, Make, Airtable, or workflow automation tools. Experience building operational analytics and reporting infrastructure. Experience in healthcare, RCM, AI operations, or enterprise SaaS. Familiarity with APIs, integrations, and workflow orchestration. Experience supporting customer deployments or implementation operations.

SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. The base salary for this role ranges from $100,000–175,000 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 qualifications.