AI Quality Assurance Engineering Manager

Trimble Inc.•Lake Oswego, OR

1d•$170,600 - $234,600•Hybrid

About The Position

Drive Quality Innovation as our Next QA Manager (AI & Automation)! Ready to pioneer the future of AI-driven software testing and transform how engineering teams deliver quality at scale? Trimble is looking for an innovative QA Manager to lead our pod quality strategy, leverage cutting-edge AI tools, and hands-on maintain automation frameworks in a modern, collaborative environment! About Us: Trimble is empowering stakeholders through planning, design, construction and the entire asset lifecycle. The company’s innovative and connected ecosystem of solutions improves coordination and collaboration between teams, phases and processes. Automating work and transforming workflows, Trimble is enabling teams to deliver with confidence at every turn. For more information, visit: construction.trimble.com. What Makes This Role Great: In this role, you will redefine product quality by shifting from traditional testing to an AI-powered, developer-owned quality model. You will act as the master strategist and technical guide for the pod, evaluating advanced AI tools, building automation, and ensuring top-tier software reliability.

Requirements

Bachelor's degree in Computer Science or a related technical field, with 10+ years of experience leading software quality strategy and managing global teams.
Proven ability to write, maintain, and execute test automation scripts personally in Playwright, C#, Python, or Java.
Strong foundation in core AI concepts (LLM, NLP, ML) with hands-on experience testing AI components, managing AI agents, and using MCP servers.
Solid background in team-level release management, regression strategy, and virtualization or cloud test environments.
Outstanding coaching and communication skills to influence quality mindsets and convey technical risk clearly 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 pod-wide quality strategy while personally authoring test automation using tools like Playwright, Python, C#, or Java.
Pioneer testing methodologies for embedded AI components, evaluating LLMs, computer vision, and speech recognition while managing AI agents and mitigating bias.
Evaluate, recommend, and train cross-functional engineering teams on modern AI-driven test tools and automation techniques.
Orchestrate end-to-end operational workflows, including regressions, release management, and cloud or virtualization test environments.
Drive data-backed decisions by tracking quality metrics, quantifying coverage gaps, and performing root cause analysis on production incidents to continually improve processes.