- Location
- Bengaluru, India
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Quality Assurance
- Seniority
- Manager
- Experience
- 2+ years
- Source
- Lever
Description
Manager, Tech Quality Assurance
Bengaluru
About the Role
We are looking for a Manager, Tech Quality Assurance who is technically strong, hands-on, and genuinely curious about how AI is changing the way we test. You will own the automation strategy for your team, lead from the front, and bring a quality engineering mindset to everything you do. If you are already experimenting with AI in your day-to-day QA work — we want to talk.
What You Will Do -
- Lead and mentor a team of QA engineers, driving quality across one or more delivery models
- Design, build, and maintain automation frameworks — UI, API, and data validation
- Write and review test strategies, test plans, and test cases from requirements and user stories — not just from builds
- Actively explore and adopt AI tools to accelerate test design, script generation, defect analysis, and visual validation
- Use AI-assisted approaches to keep pace with fast-moving, AI-driven development cycles
- Own regression strategy — risk-based and intelligent, not brute-force
- Collaborate closely with developers, product owners, and delivery leads
- Share quality insights in a way that makes sense to the business
What We Are Looking For -
- 8 - 10 years of QA/SDET experience with at least 2 years in a lead or senior capacity
- Strong hands-on with Playwright or Selenium — Python preferred
- Solid API testing experience — Postman, REST-assured, or scripted API validation
- Experience with CI/CD pipelines — GitHub Actions, Jenkins, or similar
- Actively using AI tools in your QA workflow — ChatGPT, GitHub Copilot, or similar for test generation, script scaffolding, or defect pattern analysis.
- Awareness of where AI helps in QA and where human judgment still leads — you know the difference
- Ability to automate fast — when a new build drops, you are not starting from scratch, your framework is ready
- Strong understanding of QA processes — SDLC, defect lifecycle, test strategy, risk-based testing
- Experience with performance testing is a plus — Locust, JMeter, or k6
- Exposure to visual regression or accessibility testing is a plus
- Good communication skills — able to translate quality signals into business language
The Kind of Person We Want -
- Someone who does not wait for QA to slow down delivery — they build the systems that prevent it
- Curious about where AI is taking QA and already experimenting with it
- Comfortable saying "I can automate that" — and then doing it
- Proactively identifying risk — not waiting to be told what to test
- Can lead a small team without losing the hands-on edge
Good to Have -
- Experience working in a multi-client, agency, or media and marketing technology environment
- Exposure to CMS platforms like Contentful or WordPress
