Global QA Manager: AI-Driven Mobile Quality & Release

Huckleberrylabs; Los Angeles (CA); Remote; USD 150,000 - 190,000; Full time

Job summary

Huckleberry Labs in Los Angeles is seeking a QA Manager to lead a globally distributed team of 12 QA engineers, spanning manual and automation, reporting directly to the CTO. You will own the QA function end to end — strategy, staffing, standards, and effectiveness — and you’ll own the call on release readiness as the final quality voice on what ships and when.

This role is ideal for a leader who builds quality in from the start, champions shift-left QA, and drives AI-enabled testing across a

Qualifications

• 6+ years of total experience within QA
• 3+ years of QA management experience, including the management of globally distributed teams
• Excellent People Management skills with a demonstrated ability to develop team members, manage performance, and build a high-performing culture.
• Solution-oriented leader able to manage quality incidents with a level head, focusing on root causes and scalable solutions
• Strong communicator able to articulate quality status, risks, and recommendations to both technical and non-technical stakeholders
• Mobile QA subject matter expert across manual and automated QA — regression testing, test coverage, and device/OS matrix strategy
• Demonstrated ownership of release readiness decisions, including a track record of reducing post-release defects or hotfix frequency
• AI-native QA practice — you use AI daily in your own workflow and have shipped production QA processes that depend on it, not pilots
• Experience designing and implementing new QA approaches in an organization (e.g. shift left)
• Consumer subscription mobile app experience at scale

Responsibilities

• Lead and grow a globally distributed team of QA engineers across manual and automated testing
• Shape how we scale QA capacity — partner with our outsourcing partner to staff pods, set the quality bar for partner engineers, and build a blended team that operates as one
• Build and execute a hiring strategy in line with team and company goals
• Establish team performance processes, standards, and documentation
• Team development and mentorship through regular one-on-ones, providing feedback, coaching, and performance management
• Own the go/no-go call on release readiness and be accountable for it
• Identify and surface quality risks early in the release cycle so engineering leadership can make informed decisions on scope, prioritization, and timing
• Negotiate release trade-offs with product and engineering stakeholders — when quality concerns arise, land an outcome that protects both the release date and the user experience
• Drive down post-release defect and hotfix rates; monitor production quality, lead the response when issues land, and close the loop on root causes
• Provide visibility to C-level on quality coverage, developing and executing plans to ensure efficient and effective test coverage
• Work with leadership to establish quality KPIs and drive progress toward goals
• Champion, implement, and drive shift-left quality practices with real world outcomes
• Establish quality best practices across the QA team and communicate them to engineering partners
• Continuously iterate on QA processes, tools, and automation opportunities to improve testing efficiency and effectiveness
• Document testing standards, maintain test case libraries, and ensure clear communication of quality processes across teams

Skills

QA management

People management

Quality assurance

Mobile QA

AI in QA

Release readiness

Problem solving

Communication

Shift-left QA

Job description

Huckleberry Labs in Los Angeles is seeking a QA Manager to lead a globally distributed team of 12 QA engineers, spanning manual and automation, reporting directly to the CTO. You will own the QA function end to end — strategy, staffing, standards, and effectiveness — and you’ll own the call on release readiness as the final quality voice on what ships and when.

This role is ideal for a leader who builds quality in from the start, champions shift-left QA, and drives AI-enabled testing across a