Director of Quality Assurance

Acronis

. Develop and maintain a unified quality strategy aligned with organizational and product goals .

Posted 9/30/2026full-timeRemote • Bulgaria, Serbia, Spain, Poland, Germany, United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining quality strategies, leading QA initiatives, and implementing AI/ML-driven quality tools. Proven ability to mentor teams, oversee testing practices, and communicate quality metrics to executive leadership.

Highest-signal resume keywords

QA LeadershipAI-Assisted TestingAutomation FrameworksCI/CD PipelinesQuality Metrics Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quality EngineeringSoftware TestingDefect DetectionRegression TestingPerformance TestingSecurity TestingAutomated TestingQuality StandardsGovernance MechanismsMatrix Leadership

Soft Skills

Strong CommunicationCollaboration SkillsMentoringPassion for QualityContinuous Improvement

Tools & Technologies

AI/ML-Based ToolsGenerative AIPredictive AnalyticsIntelligent AutomationSaaS PlatformsCloud Platforms

Industry Keywords

Quality StrategyQuality Improvement InitiativesSDLC PracticesCustomer RetentionExecutive Reporting

Tech Stack

Tools & technologies

CloudSDLC

About the role

Key responsibilities & impact

Develop and maintain a unified quality strategy aligned with organizational and product goals
Define QA standards, processes, tools, and governance mechanisms across all product lines
Lead quality improvement initiatives, audits, and transformation programs
Drive adoption of AI/ML-based quality, testing, and risk-assessment tools
Define, track, and report quality metrics including defect rates, release stability, automation effectiveness, and customer-reported issues
Prepare executive-level quality reports and dashboards for C-level leadership
Provide dotted-line leadership to approximately 150 QA and Automation QA professionals across 10 distributed product teams
Mentor QA managers, leads, and senior engineers and develop competency frameworks
Oversee functional, regression, integration, performance, security, and automated testing practices
Advance automation strategies and frameworks supporting CI/CD pipelines and modern engineering delivery models
Lead integration of AI-assisted testing, generative AI tools, intelligent automation, and predictive quality insights
Ensure alignment on release criteria, quality gates, and readiness standards
Partner with Engineering and Product to improve release stability, predictability, and performance
Oversee defect detection and quality-risk visibility throughout the SDLC
Participate in critical release reviews, escalations, and post-release evaluations
Work with Product Management to ensure requirements are testable and quality expectations are defined
Collaborate with Customer Support, Customer Success, Sales, Pre-Sales, and Services during issue resolution and customer-critical engagements
Communicate quality risks, priorities, and metrics to stakeholders and executive leadership
Strengthen customer retention and competitive positioning through improved product quality and reliability

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
10+ years of QA, Quality Engineering, or Software Testing experience
7+ years in QA leadership roles with responsibility across multiple products and global teams
Experience with automation frameworks, CI/CD pipelines, and modern SDLC practices
Proven ability to lead in a matrixed/dotted-line environment
Demonstrated experience with AI-assisted testing or ML-driven quality tools
Strong communication and collaboration skills across technical and business functions
Passion for quality, innovation, efficiency, and continuous improvement
Experience preparing and presenting reports and insights to C-level executives
Preferred: Experience in SaaS, cloud platforms, or enterprise software
Preferred: Knowledge of generative AI, predictive analytics, or intelligent automation technologies
Preferred: Experience in large-scale QA modernization and organizational change initiatives
Resume and application must be submitted in English
Successful completion of applicable criminal, education, and identity background checks

Benefits

Comp & perks

Equal opportunity employment
Employment offers contingent upon successful completion of applicable criminal, education, and identity background checks
Global “A-Team” culture emphasizing innovation, accountability, impact, ownership, resilience, adaptability, and continuous improvement