Manager, Quality Engineering (Fully Remote)

Partner Company; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Fully remote US

Unlimited PTO

Home-office equipment

Comprehensive healthcare

401(k)

Job summary

Partner Company is seeking a newly created leadership role to build and scale a QA function, focusing on protecting sensitive data and strengthening product reliability. This is a fully remote, nationwide US opportunity for a senior leader in quality assurance.

You will establish unified QA strategy, automation frameworks, and quality metrics; lead distributed QA engineers; and collaborate with engineering leaders and executive stakeholders to drive responsible AI adoption.

Qualifications

• Experience leading QA teams and scaling a QA function.
• Proven track record building automation frameworks.
• Ability to collaborate with engineering leaders and executives.
• Experience with responsible AI adoption.
• Focus on protecting data and product reliability.

Responsibilities

• Establish unified QA strategy, automation frameworks, and quality metrics.
• Lead distributed QA engineers and champion responsible AI adoption.
• Collaborate with engineering leaders and executive stakeholders.

Skills

QA leadership

Automation frameworks

Quality metrics

Responsible AI

Job description

• Newly created leadership position to build and scale a quality assurance function.
• Focus on protecting sensitive data and strengthening product reliability.

Key responsibilities:

• Establish unified QA strategy, automation frameworks, and quality metrics.
• Lead distributed QA engineers and champion responsible AI adoption.
• Collaborate with engineering leaders and executive stakeholders.

What we offer:

• Fully remote work from anywhere in the US.
• Unlimited PTO, home-office equipment, comprehensive healthcare, 401(k).
• Opportunity to shape a new function with meaningful impact.

Partner Company

Our partner develops software products that safeguard sensitive financial, healthcare, and personal information for individuals and families. The culture is collaborative and outcomes-driven, with distributed teams across the US and Latin America, emphasizing trust, accountability, and responsible AI adoption.