QA Engineering Manager - Lead Gen Team presso HighLevel
HighLevel · New Delhi District, India · Remote
Responsibilities:
- Quality Strategy and Technical Leadership:
- Define and execute the overall Quality Engineering vision, strategy, and roadmap aligned with organizational goals
- Design, implement, and evolve advanced test strategies, automation frameworks, and quality best practices for large-scale SaaS applications and Strong hands-on background as a Test Automation Architect, ideally in TypeScript and Playwright
- Drive the adoption of an Automation-First approach by building robust automated test platforms and internal developer tooling that accelerate innovation and increase engineering velocity
- Lead the transition toward Test-Driven Development (TDD) and shift-left testing practices integrated seamlessly within CI/CD pipelines
- Product Ownership:
- Own end-to-end quality for multiple products, including Email Builder, Social Planner, Onboarding, and Email AI, ensuring consistent quality standards across all offerings
- Define and govern functional, regression, and exploratory testing strategies across microservices, APIs, SDKs, data layers, and user interfaces
- Drive excellence in non-functional testing, including performance, scalability, reliability, failover, security, and cross-platform compatibility
- People Management and Team Growth:
- Lead, coach, and manage a growing team of Quality Engineers and SDETs, fostering a culture of technical excellence, ownership, and continuous improvement
- Build and scale a multi-disciplinary QA organization covering automation, platform QA, data quality, and performance engineering
- Mentor senior engineers and emerging technical leaders, enabling career growth and succession planning as the organization scales
- Cross-Functional Collaboration:
- Partner closely with Engineering and Architecture teams early in the design phase to influence system testability, architecture decisions, and quality outcomes.
- Collaborate with Product Management to define release criteria, risk assessment frameworks, and go/no-go decisions for launches.
- Work with Customer Support and Customer Success teams to identify real-world use cases, close quality gaps, and proactively address customer-impacting issues
- Metrics, Visibility, and Accountability:
- Establish and maintain clear, data-driven quality metrics, KPIs, and dashboards to provide real-time visibility into release readiness, product stability, and production health
- Use quality data to drive accountability across teams and continuously improve SDLC effectiveness
- Operational Excellence and Customer Impact:
- Analyze production issues and customer escalations, drive root cause analysis, and implement preventive quality improvements to reduce recurrence
- Ensure compliance with enterprise standards, SLAs, and customer expectations for mission-critical SaaS systems
- Act as the final quality authority for major releases and customer-facing deployments
- Represent Quality Engineering leadership in executive reviews, roadmap discussions, and critical customer engagements
- Scaling and Continuous Improvement:
- Act as a key technical leader in solving complex scaling challenges related to automation, infrastructure, and organizational growth
- Continuously challenge the status quo by improving processes, tooling, and engineering practices to support rapid and sustainable company growth
Requirements:
- A minimum of 8+ years of experience in Software Quality Engineering, with at least 3 years in a people management or QA leadership role within a SaaS environment
- Proven experience defining and implementing advanced test strategies, automation frameworks, and developer tooling in modern SaaS platforms
- Strong and demonstrable understanding of SaaS CRM systems, particularly sales and marketing automation products
- Deep knowledge of microservices-based architectures, cloud platforms such as GCP/AWS, and modern CI/CD pipelines
- Hands-on experience integrating automated testing and TDD practices into continuous integration and continuous delivery workflows
- Enthusiasm for leveraging GenAI and AI agents to enhance testing productivity, efficiency, and intelligence
Nice to Have:
- Strong leadership with tech presence with the ability to influence senior stakeholders and drive alignment across engineering, product, and business teams
- Excellent communication skills, with the ability to articulate quality risks, trade-offs, and recommendations to both technical and non-technical audiences.
- A customer-first mindset with a passion for building reliable, scalable, and high-quality SaaS products