The Manager of Quality Engineering leads a team to innovate testing practices, embed quality in the SDLC, and integrate AI in automation frameworks.
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
As the Manager of Quality Engineering, you are the guardian of our product integrity and the architect of our testing future. Reporting to the Sr. Director of Program & Operations, you will lead a high-performing team to move beyond manual checks into a world of sophisticated, AI-driven automation. Your mission is to embed quality into the very fabric of our SDLC—shifting testing "left" and leveraging Generative AI to solve complex challenges at scale.
What You'll Do:
- Architect the QE Future: You will design and implement a scalable, maintainable test automation framework that serves as the backbone of our software delivery.
- Lead with Innovation: Evaluate and integrate emerging technologies, specifically focusing on Agentic AI-powered solutions and GenAI to enhance test coverage and efficiency.
- Champion "Shift-Left": Partner with Development and Product teams to ensure testability is considered at the architectural level, catching issues before a single line of feature code is written.
- Empower Your Team: Act as a hands-on mentor, conducting 1:1s, leading code reviews for automation scripts, and fostering the professional growth of your QE engineers.
- Drive Technical Excellence: From functional and regression to performance and security testing, you will ensure our CI/CD pipelines are robust, and our releases are bulletproof.
- Deliver Insights: Analyze test results and system architectures to provide stakeholders with clear quality metrics and actionable data that drive product improvements.
Who You Are:
- A QE Veteran: You have 7+ years of experience in Quality Engineering, with a heavy emphasis on building automation frameworks from the ground up (using tools like Cypress, Playwright, or Pytest).
- AI-Forward: You don't just know GenAI; you use it as a "second-nature" tool to generate tests, enhance scripts, and stay ahead of industry advancements.
- A Skilled Coder: You possess strong programming skills in Python, JavaScript, or Java and are comfortable leading technical discussions and code reviews.
- A Process Improver: You have a "Continuous Improvement" mindset. You aren't satisfied with the status quo and are always looking for ways to optimize CI/CD integrations and API testing.
- An Inspiring Leader: You have a track record of managing technical teams, delegating effectively, and advocating for a culture of quality across an entire organization.
- Technically Versatile: You are comfortable in modern environments, with experience in Docker, Kubernetes, and cloud-based applications (AWS preferred), alongside a strong grasp of SQL.
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.
Top Skills
AWS
Cypress
Docker
Java
JavaScript
Kubernetes
Playwright
Pytest
Python
SQL
Similar Jobs at TrueML
Fintech • Machine Learning • Payments • Social Impact • Software • Financial Services
The Technical Operations Manager will manage workflows in Jira, drive team accountability, optimize processes, and serve as a client liaison while understanding technical concepts.
Top Skills:
APIsJIRASftp
Fintech • Machine Learning • Payments • Social Impact • Software • Financial Services
As an Engineering Manager, you will lead and mentor a team to develop a secure payments platform, collaborate on product roadmaps, and ensure software quality while participating in on-call rotations.
Top Skills:
Agile Development MethodologiesProgramming Languages
Fintech • Machine Learning • Payments • Social Impact • Software • Financial Services
Lead and manage the data engineering team, architect resilient data infrastructure, ensure data quality, and enable accessible data for business stakeholders.
Top Skills:
AirflowBigQueryJavaNoSQLProtocol BuffersPythonRdbmsRedshiftScalaSnowflakeSparkSQL
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
