Release Manager

At VIDA, we’re passionate about driving positive change in lung and respiratory care through thoughtful, innovative technology. We’re committed to reshaping the way organizations and physicians approach pulmonary medicine with powerful artificial intelligence and image analysis. Our talented team works hard every day to design cutting-edge solutions that truly improve patients’ lives around the world. We’re a small, fast-growing company with big benefits and the kind of culture that makes you smile.

All we’re missing is YOU! If you’re looking to make a difference and channel your expertise into meaningful work that’s changing the world for the better, we want to hear from you.

VIDA is seeking a technical, systems-oriented Release Manager to lead and continuously improve how software changes move safely and efficiently from development into production across VIDA’s cloud-based products and services.

This role goes beyond scheduling releases or manually coordinating deployments. You own and improve the release operating model
—the processes, automation, controls, telemetry, and cross-functional practices that enable engineering teams to release independently while protecting product quality, customer data, production reliability, security, and VIDA’s regulatory and compliance obligations.

Operating within a healthcare and life-sciences SaaS environment, this role partners closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Quality, Security, and Compliance to establish a modern, risk-based software delivery model.

You will also be VIDA's voice on AI-enabled software delivery process, making sure the added velocity from AI-assisted engineering is supported by effective testing, review, traceability, security controls, observability, and production safeguards.

• Define and continuously improve VIDA’s software release strategy, standards, governance model, and success measures.
• Evolve VIDA toward a continuous, automated, and risk-based delivery model that minimizes unnecessary manual coordination and approvals.
• Establish release classifications based on clinical and customer impact, data sensitivity, reversibility, and blast radius.
• Define proportionate controls for each level of release risk, including when changes can proceed automatically and when additional testing, review, progressive delivery, or approval is required.
• Establish practical emergency-change and exception processes that preserve accountability and traceability without slowing critical remediation.
• Use production incidents, near misses, audit findings, and delivery friction to drive continuous improvement.

• Partner with Engineering, Architecture, and Cloud Operations on paved-road CI/CD — trunk-based development, small batch sizes, reusable workflows, and standard deployment patterns.
• Agile processes that infuse automated quality, security, compliance, and operational checks into the software delivery lifecycle.
• Ensure release evidence—including source traceability, peer review, testing, security validation, deployment history, approvals, and post-release results—is reliable, searchable, and audit-ready.
• Align the release model to support decoupling of deployment from release using feature flags, canary and staged rollouts, and blue/green deployments, so teams ship continuously while customer exposure stays under separate control.
• Establish measurable release-health criteria and effective pause, rollback, forward-fix, and feature-disablement practices.
• Work with engineering teams to ensure critical services have clear operational ownership, observability, rollback strategies,…