Quality Assurance Manager

About the role

We are Surgence We are done accepting a healthcare supply chain that breaks when it's needed most. Surgence exists to help keep healthcare alive in every community by transforming how the industry thinks, plans, and executes. We are building the operating hub for the healthcare supply chain, connecting providers, distributors, suppliers, data, and decisions so organizations can move from fragmented information to coordinated action. Our cloud-based platform delivers the visibility, intelligence, and workflows healthcare organizations need to anticipate disruptions, mitigate risk, improve coordination, and make better decisions faster. By creating a shared source of truth across the supply chain, we're helping build a more resilient healthcare ecosystem. Role Overview As Quality Assurance Manager, you will lead Surgence's quality strategy across our healthcare supply chain platform, ensuring quality is embedded throughout the product lifecycle. This is a technical, hands-on "player-coach" role. It combines people management, process management, leading through influence, and delivering testing excellence across enterprise SaaS, data, security, and AI-enabled solutions. You'll partner closely with cross-functional teams to drive reliable releases, scalable quality practices, and a culture of accountability and continuous improvement. Essential Functions Lead and advance Surgence's end-to-end Quality Assurance strategy and execution, embedding quality throughout the Product Delivery Lifecycle (PDLC) from discovery through release and operations. Define and enforce release-readiness standards covering functional and non-functional quality, data accuracy, security, compliance, and operational stability. Establish and execute risk-based testing strategies across complex enterprise SaaS platforms, balancing automation, exploratory testing, regression coverage, and speed of delivery. Own and scale quality assurance practices for data integrity, analytics accuracy, governed metrics, and secure software delivery. Select, implement, and optimize QA tools, frameworks, and CI/CD-integrated testing approaches that balance speed with release confidence. Build, mentor, and develop a high-performing QA organization while establishing scalable roles, responsibilities, and growth expectations. Operate as a trusted partner to Product, Engineering, Delivery, Data, and Security leadership, fostering early alignment, surfacing cross-functional risks, and driving resolution through collaboration. Serve as a trusted advisor on quality, release readiness, and risk, providing clear recommendations grounded in evidence, customer impact, and sound judgment. Champion a culture of shared accountability for quality, continuous improvement, and operational excellence while balancing innovation, speed, long-term quality, and customer trust. Define validation and monitoring strategies for AI/ML-enabled features, including accuracy, bias, edge-case testing, and regression or drift detection where applicable. Establish organizational guardrails for responsible AI usage across QA and Engineering, reinforcing expectations around data privacy, auditability, transparency, and appropriate human oversight. Provide visibility into quality health through release readiness assessments, defect trends, and risk reporting, escalating issues that could impact customer trust, regulatory obligations, or business commitments. What We're Looking For Bachelor's degree in Business, Healthcare Administration, Quality Engineering, Computer Science, or a related field strongly preferred. 10+ years of experience in Quality Assurance and/or Quality Engineering strongly preferred. 5+ years leading, evolving, and optimizing QA teams and operating practices strongly preferred. Experience in healthcare, healthcare supply chain, or other regulated industries is strongly preferred. Strong background in B2B SaaS quality assurance, including experience with multitenant platforms, configurable customer environments, system integrations, and enterprise-grade release readiness spanning functional, regression, and performance validation. Experience building and executing risk-based testing strategies across functional, regression, performance, and automated testing initiatives. Proven expertise in data quality and data governance is required, including validation of data integrity, lineage, analytics outputs, and reporting controls across systems. Experience supporting security and compliance assurance activities, including validation of access controls, permissions, and testing requirements in regulated environments. Working knowledge of modern automation and AI-enabled quality practices is expected, including the use of AI tools to accelerate test design, automation, analysis, and documentation, with strong judgment around verification, traceability, and protection of sensitive data. Ideal candidate has technical proficiency in Foundry-relevant languages and paradigms such as

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