Director of Quality Assurance

Acronis•Florida, USA - Remote, FL

20h•$233,000 - $300,000

About The Position

The Director of Quality Assurance defines and leads the global quality strategy across Acronis’s product portfolio. The role provides horizontal, dotted-line leadership to approximately 150 QA and Automation QA engineers across 10 global product teams, driving consistent quality practices, modernized QA capabilities, AI-enabled testing, and a culture of efficiency and innovation. The position supports business growth, competitive advantage, and customer retention through reliable, scalable, high-performing product experiences. The role also prepares and presents executive-level quality reports, insights, and recommendations to C-level stakeholders. The position requires candidates to hold a valid and active security clearance appropriate to the role. Acronis describes its culture as centered on innovation, accountability, and impact, within a high-growth, fast-paced global environment. Candidates must submit their resume and application in English.

Requirements

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 or 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.
Must hold a valid and active security clearance appropriate to the requirements of the role.
Submit resume and application in English.

Nice To Haves

Experience in SaaS, cloud platforms, or enterprise software.
Knowledge of generative AI, predictive analytics, or intelligent automation technologies.
Experience in large-scale QA modernization and organizational change initiatives.

Responsibilities

Develop and maintain a unified quality strategy aligned with organizational and product goals.
Define QA standards, processes, tools, and governance mechanisms across product lines.
Lead quality improvement initiatives, audits, and transformation programs.
Drive adoption of AI/ML-based quality, testing, and risk-assessment tools, and foster innovation and continuous improvement.
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 foster talent and capability development.
Build and maintain a competency framework emphasizing automation, quality engineering, AI literacy, and modern testing disciplines.
Promote collaboration, consistency, best-practice adoption, efficiency, and customer value across globally distributed teams.
Oversee functional, regression, integration, performance, security, and automated testing practices.
Advance automation strategies and frameworks supporting CI/CD pipelines and modern engineering delivery.
Support risk-based test planning and strategic testing in complex, multi-product environments.
Lead integration of AI-assisted testing, generative AI tools, intelligent automation, and predictive quality insights.
Introduce tools and technologies to improve test effectiveness, coverage, and speed, and support continuous learning about emerging QA technologies 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 and provide visibility into quality risks throughout the SDLC.
Participate in critical release reviews, escalations, and post-release evaluations.
Use AI tools and analytics to enhance release risk assessment and decision-making.
Communicate risks, priorities, and release readiness to senior leadership in a timely manner.
Work with Product Management to make requirements testable and define quality expectations.
Collaborate with Customer Support and Customer Success to resolve customer-found issues efficiently and sustainably.
Partner with Sales, Pre-Sales, and Services 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.
Improve product quality and reliability to strengthen customer retention and competitive positioning.