Senior QA Manager, Engineering

Meal Ticket•Boise, ID

6h•$100,000 - $150,000•Remote

About The Position

We’re looking for a Senior QA Manager to lead and transform our Engineering's QA function as our engineering organization scales. This role is about taking an existing QA team and evolving it into a modern, automation-first, AI-enabled quality organization that empowers engineers to move fast with confidence. You’ll be responsible for people, process, and technology - building a high-performing team, modernizing our testing strategy, and embedding quality deeply into how we build and ship software.

Requirements

Minimum of 5 years in QA automation, SDET, or software engineering with a primary focus on testing.
Proven hands-on ability to build and scale automated test frameworks within growing engineering organizations.
Strong proficiency with modern test frameworks (e.g., Playwright, Cypress, Selenium, Jest, PyTest) and a deep understanding of the full testing pyramid (unit, integration, API, smoke, sanity, regression, E2E).
Experience testing APIs, distributed systems, and complex data-driven applications.
Experience implementing AI-assisted QA workflows or tools in production environments.
Experience using or integrating AI-powered testing tools (e.g., AI-generated tests, self-healing frameworks, intelligent monitoring).
Familiarity and comfort working in development environments where AI is integral (code generation, test generation, analysis).
Hands-on experience with agentic AI workflows and building reliable test coverage around autonomous, multi-step processes.
Experience evaluating and selecting modern QA and AI tooling.
Solid understanding of CI/CD pipelines, test orchestration, and deployment workflows.
Exposure to performance, load, or reliability testing, especially when enhanced by automation or AI.
Familiarity with major cloud infrastructure platforms (AWS, GCP, or Azure).
Solid understanding of database fundamentals, including SQL, data flows, and designing data-driven test scenarios for data layer verification.
Experience scaling QA practices from early-stage to growth-stage teams.
Strong communication skills and a pragmatic, systems-oriented mindset.

Responsibilities

Lead & Grow the QA Team
Manage, mentor, and grow a team of QA engineers across experience levels
Establish clear roles, expectations, and career paths within QA
Foster a culture of ownership, collaboration, and continuous improvement
Partner with engineering leadership to plan team growth and resourcing
Own & transform QA Practices
Assess current QA processes and lead a transition to an automation-first, AI-augmented testing strategy
Drive adoption of modern testing frameworks, tooling, and best practices
Reduce reliance on manual testing through intelligent automation and AI-assisted workflows
Define what “quality at scale” means for the organization and implement it pragmatically
Embed Quality into Engineering
Shift QA left by partnering closely with engineering and product leaders
Ensure quality is built into design, development, and deployment - not treated as a final gate
Establish scalable standards for test coverage, reliability, and release confidence
Champion shared ownership of quality across teams
Leverage AI & Automation
Introduce and operationalize AI-powered QA tooling for test generation, maintenance, prioritization, and analysis
Use data and AI insights to identify risk areas, flaky tests, and systemic quality issues
Evaluate, select, and roll out new QA and AI tools with a focus on real-world impact
Balance innovation with stability - knowing when AI helps and when it doesn’t
Drive Continuous Improvement
Improve CI/CD quality signals and release confidence
Track and communicate quality metrics that matter (not vanity metrics)
Continuously refine processes as teams, systems, and products evolve