出海雷达

质量保证主管

Director of Quality Assurance

开发工程职能支持未标注地域
公司Acronis
薪资未公开
工作地点Bulgaria
地域资格未标注地域
时区要求日间重叠约 3 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间13 天前
数据来源Himalayas
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Acronis 是网络安全保护领域的全球领导者,通过单一、原生集成的平台,为高效运营的 MSP 提供人工智能驱动的保护,统一运营管理、网络安全和数据保护。我们以保护、管理并自动化企业与生活中所依赖的每项工作为使命,打造了行业唯一的全功能解决方案。

高级质量保证总监负责定义并领导公司产品组合中的全球质量战略。该职位对分布在 10 个全球产品团队中的约 150 名 QA 和自动化 QA 工程师提供横向/间接领导。该职位推动一致的质量实践、质量保障能力现代化、AI 驱动的测试以及效率和创新的文化。该领导者通过确保可靠、可扩展且高性能的产品体验,在推动业务增长、竞争优势和客户留存方面发挥关键作用。高级质量保证总监还需准备并向 C 级高管提供执行层面的质量报告、见解和建议。

你将负责的工作
质量战略、治理与创新

  • 制定并维护与组织和产品目标一致的统一质量战略。
  • 在所有产品线中定义 QA 标准、流程、工具和治理机制。
  • 领导质量改进计划、审计和转型项目。
  • 推动 AI/ML 基础的质量、测试和风险评估工具的采用。
  • 倡导创新、实验和持续改进的文化。
  • 定义、跟踪并报告关键质量指标,包括缺陷率、发布稳定性、自动化有效性以及客户报告的问题。
  • 为 C 级管理层准备清晰、简洁的执行层面报告和仪表盘。

全球 QA 领导与团队发展

  • 对分布在 10 个分布式产品团队中的约 150 名 QA/AQA 专业人员提供间接领导。
  • 指导 QA 经理、负责人和高级工程师,促进人才发展和能力提升。
  • 构建并维护一个强调自动化(UI、后端、端到端)、质量工程、AI 素养和现代测试学科的能力框架。
  • 在分布式的全球团队之间促进协作、一致性及最佳实践的采用。
  • 培养以效率为先的思维模式,激发对质量、创新和客户价值的热情。

质量工程、自动化与 AI 支持

查看英文原文

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 Senior 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.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-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.
  • Knowledge of generative AI, predictive analytics, or intelligent automation technologies.
  • Experience in large-scale QA modernization and organizational change initiatives.

*Please submit your resume and application in English
WHO WE ARE
A Swiss company founded in Singapore in 2003, Acronis offers over twenty years of innovation with 15 offices worldwide and employees in 50+ countries. Acronis Cyber Protect is available in 26 languages in 150 countries and is used by over 21,000 service providers to protect more than 750,000 businesses.
Our corporate culture centers on innovation, accountability, and impact. We encourage our people to think boldly, challenge conventional approaches, and take ownership of outcomes. As a member of our global “A-Team,” you’ll operate in a high-growth, fast-paced environment where resilience, adaptability, and a commitment to continuous improvement drive success.
OUR INTERVIEW PRACTICES
To ensure a fair and genuine hiring process, candidates are expected to participate in interviews without the use of AI tools, automated prompts, or third-party assistance. Interviews are designed to assess individual skills, experience, and communication style, and we value authentic, real-time interaction.

Use of AI or external assistance during live interviews may result in disqualification. For roles where AI skills are being evaluated, permitted use of AI tools will be clearly communicated in advance. Candidates may be asked to disable virtual backgrounds or participate in in-person interviews. All employment offers are contingent upon successful completion of applicable criminal, education and identity background checks

Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.
Originally posted on Himalayas

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