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Insight Global • Denver, Colorado, United States
Role & seniority: QA Manager (hands-on + people leadership, 50/50 role)
Stack/tools: JavaScript-based automation (Playwright, Cypress), AWS, Go, Java, Python; manual testing; test management tools (PractiTest or comparable)
Embed quality throughout the SDLC by onboarding/training/shadowing teams and standardizing testing approaches
Split time between hands-on testing (manual + automated), managing test execution/reporting, and mentoring on automation frameworks
Collaborate cross-functionally to ensure data accuracy, correctness, and reliability in complex systems in a highly collaborative, in-person environment
Strong partnership with application engineering to ensure quality across the full SDLC
Hands-on testing across manual and automated domains
Experience mentoring teams on tooling, frameworks, and best practices; proficient with test management tools
Working knowledge of data-driven applications and validating outputs
Comfortable in a 50/50 hands-on leadership/coordination role; in-person collaboration
Exposure to AI-driven systems or AI/data-generated testing scenarios
Background in data/analytics, validating AI- or data-generated responses
Experience testing agentic AI, prompts, or AI-powered front ends
Location & work type: Onsite in Denver, 4 days/week in the office; full-time role.
Required Skills & Experience Strong experience partnering closely with application engineering teams to ensure quality across the full SDLC Hands-on testing experience across both manual and automated testing using JavaScript-based automation, Playwright, Cypress, AWS, Go, Java, or Python Working knowledge of test automation frameworks and practices, with experience mentoring teams on tooling and approach Experience using test management tools such as PractiTest or comparable platforms Comfort operating in a 50/50 role balancing hands-on execution with people leadership and cross-team coordination Strong understanding of data-driven applications, including validating accuracy, correctness, and reliability of outputs Ability to thrive in a highly collaborative, in-person engineering environment
Nice to Have Skills & Experience Exposure to AI-driven systems or applications, particularly testing features built on top of large data sets Background in data and analytics, including validating AI- or data-generated responses Experience testing applications that use agentic AI, prompts, or AI-powered front ends
Job Description This QA Manager will work closely with application engineering teams to embed quality throughout the SDLC. Early on, they will onboard, train, and shadow teams to understand existing workflows, tooling, and quality processes. On a daily basis, they will split time between hands-on testing (manual and automated), managing test execution and reporting, and mentoring engineers on automation frameworks and best practices. They will act as an on-the-ground QA partner, helping standardize testing approaches across teams, ensuring data accuracy and correctness in complex systems, and collaborating cross-functionally in a highly interactive, in-person environment.
This role is onsite 4x a week in Denver
Pay for this position is $135,000 to $162,000 Annually