Director of Quality Assurance

acronis; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health insurance

Job summary

Acronis is seeking a dynamic global head of quality assurance to define and lead the comprehensive quality strategy across all product lines. You will provide dotted-line leadership to about 150 QA professionals across 10 product teams, driving modern QA capabilities, AI-enabled testing, and a culture of efficiency and innovation.

You will report to senior leadership and prepare executive-level quality reports, while ensuring release readiness, risk management, and continuous improvement in a

Qualifications

• 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-enabled testing.

Responsibilities

• 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 the adoption of AI/ML-based quality, testing, and risk assessment tools.
• Champion a culture of innovation, experimentation, and continuous improvement.
• Define, track, and report key quality metrics including defect rates, release stability, automation effectiveness, and customer-reported issues.
• Prepare clear, concise executive-level reports and dashboards for C-level leadership.
• Provide dotted-line leadership to ~150 QA/AQA professionals across 10 distributed product teams.
• Mentor QA managers, leads, and senior engineers, fostering talent development and capability growth.
• Build and maintain a competency framework emphasizing automation (UI, backend, e2e), quality engineering, AI literacy, and modern testing disciplines.
• Promote collaboration, consistency, and best-practice adoption across globally distributed teams.
• Instill an efficiency-first mindset and passion for quality, innovation, and customer value.
• Oversee functional, regression, integration, performance, security, and automated testing practices.
• Advance automation strategies and frameworks to support CI/CD pipelines and modern engineering delivery models.
• Support risk-based test planning and strategic testing for complex, multi-product environments.
• Lead integration of AI-assisted testing, generative AI tools, intelligent automation, and predictive quality insights.
• Introduce tools and technologies that improve test effectiveness, coverage, and speed.
• Ensure continuous learning and adaptation to emerging QA technologies, tools, and industry trends.
• Ensure alignment on release criteria, quality gates, and readiness standards across product teams.
• Partner with Engineering and Product to improve release stability, predictability, and performance.
• Oversee defect detection mechanisms and provide visibility into quality risks throughout the SDLC.
• Participate in critical release reviews, escalations, and post-release evaluations.
• Utilize AI tools and analytics to enhance release risk assessment and decision-making.
• Ensure timely communication of risks, priorities, and release readiness to senior leadership.
• Work with Product Management to ensure requirements are testable and quality expectations are defined.
• Collaborate with Customer Support and Customer Success to resolve customer-found issues efficiently and sustainably.
• Partner with Sales, Pre-Sales, and Services teams during escalations or customer-critical engagements.
• Communicate quality risks, priorities, and metrics to stakeholders and executive leadership.
• Identify cross-functional opportunities for automation, AI-enabled improvements, and operational efficiency.
• Strengthen customer retention and competitive positioning through improved product quality and reliability.

Skills

QA Leadership

Quality Engineering

Automation & CI/CD

AI Testing

Matrix Leadership

Education

Bachelor's degree in CS/Engineering or equivalent

Job description

Acronis is a global leader in cyber protection, delivering AI-powered protection for productive MSPs in a single, natively integrated platform that unifies operations management, cybersecurity, and data protection. Driven by our mission to protect, manage and automate every workload that businesses and lives depend on, we've built the industry's only all-in-one solution.

The Director of Quality Assurance is responsible for defining and leading the global quality strategy across the company's product portfolio. This role provides horizontal/dotted-line leadership to approximately 150 QA and Automation QA engineers across 10 global product teams. The position drives consistent quality practices, modernization of QA capabilities, AI-enabled testing, and a culture of efficiency and innovation. This leader plays a critical role in driving business growth, competitive advantage, and customer retention by ensuring reliable, scalable, and high-performing product experiences. The Senior Director will also prepare and deliver executive-level quality reports, insights, and recommendations to C-level stakeholders.

Security Clearance Requirement: Candidates must hold a valid and active security clearance appropriate to the requirements of the role.

WHAT YOU'LL DO

Quality Strategy, Governance & Innovation

• 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 the adoption of AI/ML-based quality, testing, and risk assessment tools.
• Champion a culture of innovation, experimentation, and continuous improvement.
• Define, track, and report key quality metrics including defect rates, release stability, automation effectiveness, and customer-reported issues.
• Prepare clear, concise executive-level reports and dashboards for C-level leadership.

Global QA Leadership & Team Development

• Provide dotted-line leadership to ~150 QA/AQA professionals across 10 distributed product teams.
• Mentor QA managers, leads, and senior engineers, fostering talent development and capability growth.
• Build and maintain a competency framework emphasizing automation (UI, backend, e2e), quality engineering, AI literacy, and modern testing disciplines.
• Promote collaboration, consistency, and best-practice adoption across globally distributed teams.
• Instill an efficiency-first mindset and passion for quality, innovation, and customer value.

Quality Engineering, Automation & AI Enablement

• Oversee functional, regression, integration, performance, security, and automated testing practices.
• Advance automation strategies and frameworks to support CI/CD pipelines and modern engineering delivery models.
• Support risk-based test planning and strategic testing for complex, multi-product environments.
• Lead integration of AI-assisted testing, generative AI tools, intelligent automation, and predictive quality insights.
• Introduce tools and technologies that improve test effectiveness, coverage, and speed.
• Ensure continuous learning and adaptation to emerging QA technologies, tools, and industry trends.

Release Quality, Delivery Readiness & Risk Management

• Ensure alignment on release criteria, quality gates, and readiness standards across product teams.
• Partner with Engineering and Product to improve release stability, predictability, and performance.
• Oversee defect detection mechanisms and provide visibility into quality risks throughout the SDLC.
• Participate in critical release reviews, escalations, and post-release evaluations.
• Utilize AI tools and analytics to enhance release risk assessment and decision-making.
• Ensure timely communication of risks, priorities, and release readiness to senior leadership.

Cross-Functional Collaboration & Customer Impact

• Work with Product Management to ensure requirements are testable and quality expectations are defined.
• Collaborate with Customer Support and Customer Success to resolve customer-found issues efficiently and sustainably.
• Partner with Sales, Pre-Sales, and Services teams during escalations or customer-critical engagements.
• Communicate quality risks, priorities, and metrics to stakeholders and executive leadership.
• Identify cross-functional opportunities for automation, AI-enabled improvements, and operational efficiency.
• Strengthen customer retention and competitive positioning through improved product quality and reliability.

WHO WE'RE LOOKING FOR

Required :

• 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-