Meraki Labs

QA Tester (Manual & AI-Assisted) — Meraki Labs

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Sector
IT services
City
Bengaluru
Area
Koramangala and Outer Ring Road
Experience
1 to 3 years
Role family
QA and Testing
Employment type
FullTime
Salary
Not disclosed
Posted
7 Sept 2026 · today
Last checked
7 Sept 2026

About the role

About Meraki Labs

Meraki Labs is one of India's first startup studios, founded in 2020 and headquartered in Bangalore. Backed by seasoned entrepreneurs and operators, the team both founds and funds companies, taking a hands-on approach to building them — working closely with founders to take bold ideas from paper to prototype to enduring businesses, with a focus on sectors like fintech, AI, deep tech, and edtech.

As Meraki Labs continues to co-build across its portfolio, we're looking for a QA Tester (Manual & AI-Assisted) to help ensure the products we build across our portfolio companies are reliable, high-quality, and ready for real users — blending hands-on manual testing rigor with modern AI-assisted tools.

Role Overview

We're looking for a QA Tester with 2–5 years of experience who is comfortable executing manual test cycles while also leveraging AI-powered testing tools (e.g., AI test generation, self-healing automation, visual regression with AI, LLM-based test case creation) to improve test coverage and efficiency. You'll work closely with developers, product managers, and designers across portfolio companies to ensure every release meets quality standards.

Key Responsibilities

  • Design, write, and execute manual test cases for web/mobile applications across functional, regression, UI/UX, and exploratory testing

  • Use AI-assisted testing tools to generate test cases, identify edge cases, and accelerate regression testing

  • Identify, document, and track bugs using tools like Jira, Linear, or similar bug-tracking systems

  • Collaborate with developers to reproduce, troubleshoot, and verify bug fixes

  • Perform API testing using tools like Postman

  • Contribute to test plans, test strategies, and acceptance criteria during sprint planning

  • Evaluate and pilot new AI-based QA tools to continuously improve testing efficiency and coverage

  • Conduct cross-browser, cross-device, and compatibility testing

  • Participate in release readiness reviews and sign-off processes

  • Maintain clear, structured test documentation (test cases, test plans, bug reports)

Requirements

  • 2–5 years of hands-on experience in manual software testing

  • Solid understanding of QA methodologies, SDLC, and STLC

  • Experience writing clear, structured test cases and bug reports

  • Familiarity with AI-assisted testing tools or a strong willingness to learn and adopt them (e.g., Testim, Mabl, Functionize, ChatGPT/Claude for test case generation, or similar)

  • Working knowledge of bug tracking and test management tools (Jira, TestRail, Zephyr, etc.)

  • Basic understanding of API testing

  • Good understanding of web/mobile application architecture

  • Strong analytical and problem-solving skills with excellent attention to detail

  • Clear written and verbal communication skills

Good to Have

  • Exposure to basic automation scripting

  • Experience working in Agile/Scrum environments

  • Familiarity with prompt engineering for AI-based test generation

  • Basic SQL knowledge for backend data validation

  • Experience testing AI/ML-powered products or features

What We Offer

  • Opportunity to work at the intersection of traditional QA and cutting-edge AI tooling, across a portfolio of fintech, AI, deep tech, and edtech startups

  • Collaborative, fast-paced startup studio environment

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