Job Description

Job Title: QA Manager

*No C2C/No Sponsorship/No 1099*

Location: 100% Onsite in Holland, MI

Terms: Permanent

Pay: $130-150,000 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 DevOps) to ensure the reliable, scalable, and high-quality deployment of our data-driven products, from factory floor optimization models to office space planning tools.

Key Responsibilities

1. Strategic & Operational Leadership (Ops Unification)

• Lead the unification of DevOps, DataOps, 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.

2. Data and ML Quality Assurance

• 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.

3. Engineering Management & Team Leadership

• 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.

Qualifications

• 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 DevOps, DataOps, 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).

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