Senior Manager, Software Quality & Release Management
Tyler Technologies, Inc.
Get more replies from employers
Send a job-specific resume in minutes.
Job summary
Qualifications
- 7+ years of QA or engineering leadership experience in enterprise SaaS or ERP platforms.
- Significant experience implementing test automation and CI/CD frameworks.
- Proven success building QA strategy and automation frameworks.
Responsibilities
- Establish an AI-First Quality Engineering Strategy for all School Admin products.
- Architect and implement a highly automated QA ecosystem integrated into CI/CD.
- Lead and develop a global QA organization across the U.S. and the Philippines.
Skills
Education
Tools
Job description
The Senior Manager of Quality Assurance & Release Management will lead the transformation of software quality practices across Tyler’s School Admin Solutions portfolio — including School ERP Pro, Profund, SISFIN, Absence & Substitutes, and Tyler One integrations.
This role is responsible for establishing an AI-first quality engineering organization, embedding intelligent automation, predictive analytics, and AI-assisted engineering practices throughout the development lifecycle.
Quality is treated as a technology platform, not a downstream testing function. The leader will leverage AI, automation, and engineering telemetry to build scalable systems that ensure software reliability, accelerate delivery, and improve client outcomes.
Reporting directly to the GM of School Admin Solutions, this role maintains independent oversight of product quality while partnering closely with engineering and product leadership to embed AI-enabled quality practices earlier in the development lifecycle.
The position oversees QA teams across a global workforce primarily located in the United States and the Philippines.
Location: Lakewood, Colorado | Yarmouth, Maine | Billings, Montana | Latham, New York | Lubbock, Texas | Plano, Texas | Pittsburgh, Pennsylvania | Orono, Maine | Cranberry Township
Travel: 0–5%
- Establish an AI‑First Quality Engineering Strategy: define and implement an AI‑first QA operating model across all School Admin products; lead adoption of AI‑driven testing approaches; identify opportunities to apply generative AI and machine learning to improve testing coverage, regression detection, and engineering productivity.
- Build a Modern Automation Platform: architect and implement a highly automated QA ecosystem integrated directly into CI/CD pipelines, ensuring automation frameworks leverage AI‑assisted capabilities to accelerate coverage and reduce manual testing.
- Strengthen Release Discipline: establish predictable release management practices, including release readiness criteria, risk scoring models, and automated validation gates; implement AI‑supported release risk analysis.
- Reduce Regression and Escaped Defects: implement intelligent regression detection using AI‑driven test selection and anomaly detection; drive root‑cause analysis frameworks supported by data and telemetry.
- Build Quality Telemetry and AI Insights: implement real‑time quality telemetry dashboards tracking defect patterns, automation coverage, regression risk, and release readiness; use analytics and AI insights to identify emerging quality risks.
- Drive Shift‑Left Quality Practices: embed automated testing and validation directly into engineering workflows; ensure AI tools assist developers with code quality checks, test generation, and defect prevention earlier in the lifecycle.
- Lead and Develop a Global QA Organization: recruit, mentor, and develop QA leaders and engineers across the U.S. and the Philippines; build a team culture centered on automation, experimentation, and AI‑enabled engineering excellence.
- Support Strategic Technology Initiatives: partner with engineering leadership to ensure QA strategy supports cloud modernization, platform transformation, and architectural improvements; support M&A integrations, ensuring acquired products adopt modern QA standards and automation practices.
Within the first 12–18 months the leader will:
- Establish an AI‑first quality engineering operating model across the School Admin portfolio.
- Implement automation and AI‑driven testing that dramatically improves regression coverage and release confidence.
- Build telemetry dashboards providing real‑time visibility into quality trends and release readiness.
- Reduce regression and escaped defects through improved shift‑left engineering practices.
- Develop a strong global QA engineering team across the U.S. and Philippines.
- Establish QA as a strategic engineering partner that accelerates — not slows — product delivery.
- Leadership experience in enterprise SaaS or large‑scale software platforms.
- Experience building or transforming QA organizations, not just operating established processes.
- Significant experience implementing test automation and CI/CD integrated testing frameworks.
- Experience applying AI, machine learning, or advanced automation to software engineering workflows.
- Experience leading distributed or offshore engineering teams.
- 7+ years of QA or engineering leadership experience in enterprise SaaS, ERP, or large‑scale software platforms.
- Proven success building QA strategy, automation frameworks, and release governance models.
- Strong expertise in test automation, CI/CD pipelines, cloud‑based testing strategies, and performance validation.
- Demonstrated experience leveraging AI, machine learning, or advanced automation within software quality processes.
- Experience building or operating AI‑assisted engineering workflows, including AI‑generated testing, automated defect detection, or AI‑supported code analysis.
- Experience leading QA teams across distributed or offshore teams.
- Strong analytical mindset with experience using data and telemetry to guide engineering improvements.
- Excellent leadership and communication skills with the ability to influence engineering, product, and executive stakeholders.
The ideal candidate is a builder and innovator who sees QA not as a downstream testing function but as a technology discipline powered by AI, automation, and engineering rigor. This leader should be energized by redefining how quality is achieved in complex SaaS platforms and excited about building a QA organization where AI augments engineers, accelerates automation, and dramatically improves release confidence.
Salary will generally fall between $115,100 – $151,400 before adjustment for geographic differences. Recruiter can confirm if the position is incentive eligible.
Tyler is subject to regulations, guidelines, and/or client requirements relating to the qualifications of Tyler personnel performing certain client work. Because of the nature of this position, it is a requirement that the candidate can successfully pass a federal background check at the time an offer is extended and over the course of employment with Tyler.
Tyler Technologies is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, creed, gender, marital status, sexual orientation, citizenship status, color, religion, national origin, age, disability, protected veteran status, or any other status protected under local, state, or federal laws. If you require reasonable accommodation for any part of the application or hiring process due to a disability, please submit your request by emailing jobs@tylertech.com or by calling 800.646.2633 ext. 791008.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
