AI Quality Assurance Engineering Manager
About The Position
Trimble is seeking an AI Quality Assurance Engineering Manager to lead pod-level quality strategy and help transition software testing toward an AI-powered, developer-owned quality model. The role combines strategic leadership with hands-on test automation, evaluation of AI testing tools, and responsibility for software reliability. The manager will guide cross-functional engineering teams, oversee testing and release workflows, and use quality metrics and production incident analysis to drive continuous improvement. The position is based in Lake Oswego, Portland, Oregon, with four days in the office and a 10% travel requirement. Trimble describes its work as developing connected solutions for planning, design, construction, and asset lifecycle workflows, with a focus on improving coordination and enabling more efficient, safer, and sustainable work.
Requirements
- Bachelor's degree in Computer Science or a related technical field.
- 10+ years of experience leading software quality strategy and managing global teams.
- Ability to personally write, maintain, and execute test automation scripts using Playwright, C#, Python, or Java.
- Strong foundation in AI concepts, including LLM, NLP, and ML.
- Hands-on experience testing AI components, managing AI agents, and using MCP servers.
- Background in team-level release management, regression strategy, and virtualization or cloud test environments.
- Strong coaching and communication skills, including the ability to influence quality mindsets and clearly convey technical risk across product and engineering stakeholders.
Nice To Haves
- Experience in global work environments or construction back-office functions and accounting.
- Familiarity with performance, security, chatbot, and embedded AI testing techniques.
- Hands-on proficiency with Jira and C#.
Responsibilities
- Architect and enforce the pod-wide quality strategy while personally authoring test automation.
- Pioneer testing methods for embedded AI components, including evaluation of LLMs, computer vision, and speech recognition, and manage AI agents while mitigating bias.
- Evaluate and recommend modern AI-driven test tools and train cross-functional engineering teams in their use and in automation techniques.
- Coordinate end-to-end operational workflows, including regression testing, release management, and cloud or virtualization test environments.
- Track quality metrics, quantify test coverage gaps, and perform root cause analysis on production incidents to improve processes.
- Coach and communicate with product and engineering stakeholders to promote quality mindsets and convey technical risk.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability benefits
- Time off plans
- Retirement plans
- Tax savings plans for health, dependent care, and commuter expenses (offered by most businesses)
- Paid Parental Leave
- Employee Stock Purchase Plan
- Bonus eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Manager
