The ideal candidate combines strong technical testing expertise with strategic quality leadership, excellent stakeholder management, and a modern understanding of AI-assisted testing practices. This individual will influence engineering quality standards, improve preventative quality practices, and help shape scalable testing strategies across systems and teams.
Key Responsibilities
Quality Leadership & Delivery
- Own quality outcomes for a product area with moderate ambiguity and minimal oversight.
- Lead cross-functional test planning, execution, and release validation activities.
- Drive defect triage, root cause analysis, and resolution efforts across engineering teams.
- Establish measurable quality metrics and release readiness criteria.
- Create scalable quality processes that improve release confidence, reliability, and customer experience.
- Balance release velocity, product risk, and quality rigor through sound engineering judgment.
Technical Skills & Responsibilities
- Lead quality strategy across API, functional, end-to-end, regression, and performance testing for complex systems and integrations.
- Design scalable automation frameworks and CI/CD quality validation processes to improve release reliability and efficiency.
- Drive AI-assisted and AI validation testing strategies focused on reliability, bias, drift, and risk mitigation.
- Partner with engineering teams to integrate quality planning into system architecture and design decisions.
- Lead root cause analysis and continuous improvement initiatives to strengthen preventative quality practices.
- Utilize modern AI productivity and testing tools, including ChatGPT and Cursor, to improve test design, analysis, automation efficiency, and engineering collaboration.
- Leverage automation and cloud-based testing platforms such as Cyara, AWS, and related technologies to support scalable quality engineering solutions.
- Support quality validation across customer experience platforms including IVR, Conversational IVR (Convo_IVR), and integrated voice or chatbot technologies.
Culture & Leadership Expectations
- Communicate quality risks, testing strategy, and release readiness effectively to technical and business stakeholders.
- Influence cross-functional teams and drive alignment on quality standards without direct authority.
- Make sound prioritization decisions balancing quality, delivery speed, and business impact.
- Lead effectively in ambiguous environments by creating structure, clarity, and scalable testing practices.
- Take ownership of quality outcomes while mentoring and developing team members through coaching, feedback, and knowledge sharing.
Preferred Qualifications
- Experience working within Agile and DevOps environments.
- Exposure to cloud-native architectures and microservices ecosystems.
- Experience with AI/ML-enabled products or AI validation frameworks.
- Demonstrated ability to lead quality strategy across multiple teams or product domains.
- Familiarity with AI tools such as ChatGPT, Cursor, and other AI-assisted engineering platforms.
- Experience with automation and testing platforms including Cyara, AWS, IVR, Conversational IVR (Convo_IVR), and related cloud technologies.
- Spanish-speaking proficiency (Nice to Have – Not must have)
Asurion Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Asurion and has not been reviewed or approved by Asurion.
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Fair & Transparent Compensation — Pay is often described as solid or competitive in certain corporate and technical tracks, with some roles viewed as aligned to market ranges.
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Strong & Reliable Incentives — Short-term incentives and bonus structures are described as a meaningful layer on top of base pay, increasing total compensation when targets are met.
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Healthcare Strength — Medical, dental, and vision offerings are described as inclusive and broad, with additional protections like life/AD&D and disability coverage available.
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