Director, Quality Engineering

Quo is a company focused on transforming communication for small businesses with an AI-powered platform. They are seeking an Engineering Director to oversee product quality across all product lines, enforce quality standards, and lead a team of QA engineers while actively contributing to quality initiatives throughout the software development life cycle.

Responsibilities:

• Own quality end-to-end. Define and execute the cross-product test strategy — manual and automated — with daily and weekly validation cycles. You are the ultimate accountable party for whether Quo's product ships at the bar our customers expect. That means setting clear quality gates, measuring outcomes, and driving the team and organization to meet them
• Serve as the final release gatekeeper. You have the explicit authority, backed by senior leadership, to halt any release that doesn't meet quality standards until defects are remediated. You'll balance risk and velocity thoughtfully, but customer trust is never traded away for speed
• Build and lead the QA team. Hire, coach, mentor, and grow a team of QA Engineers and Quality Ambassadors. Foster a collaborative environment focused on continuous learning and professional growth
• Drive cross-functional alignment. Partner with product and engineering managers to embed testing discipline into every feature release pipeline. Set expectations early, surface risk clearly, and escalate to senior leadership when standards aren't being met — without waiting to be asked
• Build the test infrastructure. Drive strategy and adoption of automation frameworks, testing platforms, and CI/CD quality gates that scale with our engineering velocity
• Champion AI-enabled testing. Lead the team in selecting and deploying automation tools that extend QA reach without sacrificing depth or precision
• Educate and advocate. Lead learning efforts to ensure test-driven development is adopted uniformly across the engineering organization. Make quality everyone's job, not just QA's
• Measure and report. Define quality metrics, publish regular dashboards, and lead quality reviews with engineering and product leadership
• Close the customer feedback loop. Tie production monitoring and support feedback into QA strategy and iteration cycles, ensuring real-world signals inform how we improve
• Explore the edges. Foster creative, edge-case-focused testing to prevent regressions and drive long-term improvement — especially for our frontier AI-powered products

Requirements:

• Strong background in software engineering and test strategy
• Proven track record leading quality programs in fast-moving SaaS environments
• Ability to actively contribute to the activities of the Quality team in all stages of the SDLC
• Embrace the Quality Engineering team's role as educators and enablers on testing best practices and methodologies
• Leverage emerging AI automation technologies to extend the reach of the team
• Define and execute the cross-product test strategy — manual and automated — with daily and weekly validation cycles
• Set clear quality gates, measure outcomes, and drive the team and organization to meet them
• Serve as the final release gatekeeper with authority to halt any release that doesn't meet quality standards
• Build and lead the QA team, hiring, coaching, mentoring, and growing a team of QA Engineers and Quality Ambassadors
• Drive cross-functional alignment with product and engineering managers to embed testing discipline into every feature release pipeline
• Drive strategy and adoption of automation frameworks, testing platforms, and CI/CD quality gates
• Lead the team in selecting and deploying automation tools that extend QA reach without sacrificing depth or precision
• Lead learning efforts to ensure test-driven development is adopted uniformly across the engineering organization
• Define quality metrics, publish regular dashboards, and lead quality reviews with engineering and product leadership
• Tie production monitoring and support feedback into QA strategy and iteration cycles
• Foster creative, edge-case-focused testing to prevent regressions and drive long-term improvement
• 7+ years in QA or Software Engineering
• 5+ years in a leadership or managerial role
• Proven experience in B2C, SaaS, APIs, or AI/ML platforms
• Strong communicator who can align quality priorities across engineering, product, and operations
• Data-driven: define metrics, track them rigorously, and use them to make decisions and hold teams accountable