About Us
Synatix is a fast-growing technology company building intelligent digital products for enterprise clients across Southeast Asia. Our engineering culture is rooted in quality, agility, and continuous innovation — and we are on an ambitious journey to embed AI-driven practices across every layer of our software delivery lifecycle. We operate with a squad/tribe/chapter model, enabling QA to serve as a quality partner embedded across cross-functional squads.
Role Overview
The QA Assistant Manager bridges QA Team Leads and senior management, overseeing 2–3 QA teams (12–18 engineers) across manual, automation, AI-assisted, and specialised testing disciplines. You will translate organisational QA strategy into actionable execution plans aligned with product roadmaps and squads and tribes, drive AI and automation transformation, govern the QA chapter network within the tribe, and own quality reporting across multiple products — providing executive visibility into quality health, automation ROI, and AI tool adoption metrics.
Key Responsibilities
Team & Operations Leadership
- Manage 2–3 QA teams (12–18 engineers) across manual, automation, AI-assisted, and specialised testing.
- Conduct bi-weekly meetings with Team Leads reviewing metrics, blockers, shift-left adoption progress, and improvement initiatives.
- Oversee resource allocation balancing workload across projects based on priority, complexity, and team capability.
- Lead hiring and onboarding for QA roles including AI/automation specialist profiles aligned with business growth.
- Conduct quarterly performance reviews providing constructive feedback and individual development plans.
- Act as bridge between QA Team Leads and senior management — escalate risks, resource gaps, and transformation blockers.
Quality Strategy & Process Governance
- Translate organisational QA strategy into actionable execution plans aligned with product roadmaps and squads and tribes.
- Define standardised QA processes ensuring consistency across teams: entry/exit criteria, BDD standards, test design, and defect management.
- Establish quality gates for stage-gate reviews preventing defect leakage to production.
- Drive automation adoption achieving 70%+ regression automation coverage across all teams.
- Coordinate with product and engineering leadership on release planning, quality commitments, and agile squad/chapter sprint planning.
- Manage vendor relationships for test tools and environments: TestRail, BrowserStack, Testim, Tosca.
AI & Automation Transformation
- Drive AI and automation transformation: define adoption targets for ChatGPT (Rovo MCP + Figma App), TestRail AI, Cursor AI, Testim, and Tosca; track productivity impact.
- Establish standards and governance for AI tools: define AI quality KPIs (test generation rate, script generation efficiency).
- Use AI tools to generate release readiness reports synthesising test coverage, defect trends, automation metrics, and risk indicators.
- Apply AI-driven estimation models and risk prediction to improve sprint planning accuracy and quality forecasting.
- Own quality reporting across multiple products providing executive visibility into quality health, automation ROI, and AI tool adoption.
Chapter & QaaS Governance
- Govern the QA chapter network across multiple squads within the tribe — coordinate chapter leads, align chapter quality standards, and ensure consistency of QA practices across all squads.
- Manage QaaS service delivery for the tribe — track squad satisfaction with QA services, identify service gaps, and work with QA Architects to evolve the service catalogue.
- Chapter Network Governance: coordinate multiple QA chapter leads within a tribe; align chapter quality standards, facilitate cross-chapter knowledge sharing, and track chapter maturity.
- QaaS Programme Management: manage QaaS service delivery metrics — squad adoption, service quality, SLA adherence, and continuous improvement based on squad feedback.
Technical Skills & Competencies
Strategy & Governance
- Strategic test planning across 2–3 QA teams ensuring consistency, risk coverage, and AI/automation integration across all platforms.
- AI Transformation Governance: establish standards for ChatGPT (Rovo MCP + Figma App), TestRail AI, and Cursor AI; define AI quality KPIs.
- Automation Governance: establish coding standards and framework architecture for Testim, Tosca (UI) and Postman (API) across teams (70%+ coverage).
- Shift-Left Governance: define and enforce BDD/TDD adoption targets, requirement review participation, quality gates in Azure Pipeline.
- Cross-Platform Strategy: govern testing coverage across Desktop Web, Mobile Web, Android App, and iOS App via BrowserStack.
- Agile Programme Oversight: track multi-team sprint performance; identify and resolve cross-team dependencies impacting quality delivery.
AI, Analytics & QaaS
- AI-Generated Release Readiness: use AI tools to generate release readiness reports — test coverage, defect trends, automation metrics, risk indicators.
- AI for Sprint Planning: apply AI-driven estimation models and risk prediction to improve sprint planning accuracy.
- QaaS Programme Management: manage QaaS service delivery metrics — squad adoption, SLA adherence, and continuous improvement based on squad feedback.
- Metrics & Reporting: track quality KPIs via dashboards — defect density, automation coverage, AI tool ROI, defect escape rate.
- Performance Engineering: oversee JMeter performance testing strategy for multiple products — load, stress, scalability, and endurance testing.
Must Haves
- 6–10 years QA experience with 3+ years in people management
- Managed teams of 12–18+ QA engineers across multiple squads
- Hands-on experience with Testim and/or Tosca (UI automation)
- Postman for API testing; Cursor AI for API script generation
- TestRail for test management; JIRA for defect tracking
- Azure DevOps / Azure Pipeline for CI/CD integration
- BrowserStack for cross-platform testing (Desktop Web, Mobile Web, Android App, iOS App)
- Agile/Scrum in a squad/tribe/chapter operating model
- Experience driving automation coverage to 70%+ across teams
- AI tool adoption: ChatGPT (Rovo MCP + Figma App), TestRail AI, or similar platforms
Why you'll love working here
At Synatix, we invest in our people and our craft. You'll be joining a team that genuinely cares about quality — not just as a checkbox, but as a competitive advantage. We operate with a collaborative squad/tribe model where QA is a first-class citizen, and we want you to grow alongside us!