QA Manager -AI Platform & Automation Testing

Location : Chennai / Coimbatore

Department : Product Engineering

Reports To :

Director – Product & Engineering

About Droidal

Droidal is a rapidly growing AI product company building smarter AI agents that transform business operations for Healthcare industry. Our AI Agents replicate complex human workflows - bringing measurable efficiency, accuracy, and speed to enterprise operations. As we scale globally, we’re seeking a

QA Team Manager

to lead our quality assurance efforts across our AI platform and automation deployments.

Role Overview

The

QA Team Manager

will lead the

Quality Assurance (QA)

function at Droidal, ensuring that all components of our AI platform are tested and released and all the automated AI Agents undergo rigorous testing before client deployment. You will design, implement, and oversee scalable QA processes, lead a distributed QA team, and collaborate closely with product, data science, and engineering teams to ensure flawless product delivery.

This role is ideal for a

hands-on QA leader

with experience testing

AI, SaaS, or enterprise automation platforms

, and a strong foundation in

automation frameworks

and

end-to-end testing environments

Key Responsibilities

Lead, mentor, and manage the

QA team

responsible for testing Droidal’s AI platform and AI agent deployments.

Develop and implement

comprehensive QA strategies

for both manual and automated testing across product modules.

Ensure

automated testing pipelines

are integrated with CI / CD workflows for seamless deployments.

Define and monitor

QA metrics

• coverage, defect rates, regression impact, and release quality.

Collaborate with

engineering, product, and AI model teams

to establish quality standards and acceptance criteria.

Oversee the creation of detailed

test plans, scripts, and data validation

for all agent workflows.

Review and approve

release candidates

, ensuring compliance with performance, accuracy, and reliability benchmarks.

Drive

continuous improvement

in QA practices, tools, and frameworks.

Conduct

root cause analysis

for recurring defects and implement preventive measures.

Ensure adherence to

data security and compliance

standards during testing and deployment.

Required Skills & Experience

8–12 years

of experience in Quality Assurance, including at least

3+ years in a leadership or managerial role.

Proven background in testing

AI / ML platforms, RPA systems, or SaaS automation products.

Hands-on expertise in

automation testing tools

(e.g., Selenium, Cypress, Appium, Postman, PyTest, JMeter).

Experience with

API testing

integration testing

, and

end-to-end automation frameworks.

Strong knowledge of

CI / CD pipelines

(Jenkins, GitHub Actions, etc.) and version control systems.

Experience working with

Python or Java-based test frameworks

for automation.

Exposure to

AI testing methodologies

Familiarity with

cloud-based test environments

(AWS, Azure, or GCP).

Excellent leadership, communication, and stakeholder management skills.

Preferred Qualifications

Prior QA leadership experience in

AI-driven SaaS or automation platforms.

Certification in

ISTQB, Agile Testing, or Test Automation Frameworks.

Exposure to

data-driven testing

prompt validation

, or

agentic workflow testing.

Ability to design

scalable QA frameworks

for modular AI agent deployment.

Why Join Droidal

Lead the quality function of a next-gen

AI automation platform.

Collaborate with world-class engineers and product teams working at the frontier of

AI and automation.

Opportunity to

shape QA strategy

for an AI-first enterprise SaaS company.

Competitive compensation and growth opportunities in a rapidly scaling startup.