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We are seeking an experienced and pragmatic Engineering Manager, QA to lead and evolve Quality Assurance at LucidLink. This is a hands-on leadership role with both strategic and executional ownership: you will define what 'quality' means for our product and organization today, and actively drive the systems, processes, and behaviors that raise that bar over time. You will work across the entire engineering organization, shaping QA as a function while building alignment, consistency, and measurable outcomes. This role is critical to helping LucidLink scale quality without slowing delivery across desktop, mobile, and web platforms.
Job Responsibility:
Strategic leadership: Define what 'quality' means for LucidLink
Translate that into a clear, executable QA strategy aligned with product, architecture, and business goals
Hands-on execution: Personally drive early implementation of QA improvements
Designing and piloting processes
Introducing tooling
Unblocking teams
Embedding quality across the full software development lifecycle
Operating model & team development: Lead QA as a function across engineering in a distributed / dotted-line model
Coaching and developing QA professionals
Building a cohesive, high-performing QA community across teams
Modern tooling & AI adoption: Advance testing maturity by pragmatically adopting automation, performance testing, and AI-assisted QA tools
Tooling & vendor ownership: Own QA tooling strategy end-to-end, including selection, rollout, governance, ROI measurement, and management of quality-related vendors
Cross-functional collaboration: Partner closely with engineering leadership, product, and architecture to ensure quality is built into decision-making and delivery
Requirements:
5+ years of experience in Quality Assurance
At least 2–3 years in an engineering or QA leadership role within a scaling organization
Strong technical foundation
comfortable working across desktop, mobile, and web systems
Practical understanding of test automation and where it delivers ROI
Comfortable working across different technical layers, including using terminals, debugging builds, and navigating OS-level tooling
Proven experience building or evolving QA processes in environments with ambiguity and change
Pragmatic and curious mindset toward AI-assisted tooling
Excellent communication and stakeholder-management skills
Strong people leadership skills, especially in distributed or dotted-line team structures