Quality Assurance Manager; No C2C​/No Sponsorship

Quality Assurance Manager (No C2C/No Sponsorship)

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Job Title: QA Manager

No C2C/No Sponsorship/No 1099

Location: 100% Onsite in Holland, MI

Terms: Permanent

Pay: $ per year +15% bonus

About the Role

We are a leading furniture and office space manufacturing company committed to leveraging cutting-edge technology to optimize our product design, manufacturing processes, and supply chain. We are seeking a highly experienced and strategic QA Manager to unify and lead our core operational technology functions.

This pivotal role will be responsible for creating a unified engineering umbrella (AI-Ops, Data-Ops, and Dev Ops) to ensure the reliable, scalable, and high-quality deployment of our data-driven products, from factory floor optimization models to office space planning tools.

• Lead the unification of Dev Ops, Data Ops, and MLOps under a single, cohesive strategy to streamline end-to-end data and software delivery.
• Define and enforce CI/CD pipeline best practices for traditional software and machine learning model deployment, ensuring rapid, reliable, and automated releases.
• Drive the selection and implementation of tools and cloud infrastructure to support a scalable, secure, and compliant operational environment.

• Implement robust Data Quality checks and governance processes for data flowing into and out of our AI/ML models.
• Oversee the automation of quality checks for data integrity and model performance monitoring.
• Establish and manage comprehensive regression testing for all core data and ML delivery modules, utilizing frameworks like Playwright and, where necessary, existing tools like UFT for legacy systems integration.

• Manage a high-performing engineering team of 7 direct reports.
• Collaborate with 3 shared service team members to ensure infrastructure alignment and security compliance.
• Mentor and develop engineering talent, fostering a culture of ownership, continuous improvement, and operational excellence.

• 10+ years of progressive experience in software, data, or ML engineering, with at least 5 years in a leadership/management role overseeing operational teams.
• Deep expertise in implementing and managing CI/CD pipelines in a cloud environment (AWS, Azure, or GCP).
• Proven experience integrating Dev Ops, Data Ops, and MLOps principles into a unified framework.
• Strong background in automated testing and quality assurance, including experience with modern web/API testing frameworks (e.g., Playwright) and data validation techniques.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders across the organization (e.g., Manufacturing, Product Design).

Mid-Senior level

Full-time

Information Technology

Manufacturing