Manual QA Engineer

Docket; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Docket is building AI-powered experiences that help go-to-market teams identify, understand, and engage high-intent buyers. We are looking for a detail-oriented Manual QA Engineer to help make our product reliable, intuitive, and ready for customers.

You will test web-based AI product features across functional, regression, usability, and edge-case scenarios, create test plans, validate AI workflows, and collaborate with Product, Design, and Engineering to ensure quality releases.

Qualifications

• 2 years of manual QA experience for SaaS or web applications.
• Strong understanding of software-testing fundamentals, including functional, regression, integration, smoke, and exploratory testing.
• Experience testing APIs, browser-based applications, and third-party integrations.
• Comfort evaluating AI-powered features, where outputs may vary and quality includes relevance, safety, and user experience.
• Excellent written communication and a disciplined approach to bug reporting.
• Ability to work independently, manage competing priorities, and collaborate in a fast-moving startup environment.
• Familiarity with tools such as Linear, Jira, Postman, browser developer tools, and test-management platforms.

Responsibilities

• Test web-based AI product features across functional, regression, usability, and edge-case scenarios.
• Create and maintain clear test plans, test cases, and release checklists.
• Validate AI workflows, including prompts, generated outputs, tool integrations, and failure handling.
• Partner with Product, Design, and Engineering to clarify requirements and identify risks early.
• Reproduce, document, and prioritize bugs with precise steps, expected behavior, actual behavior, and supporting evidence.
• Perform exploratory testing to uncover issues not covered by predefined test cases.
• Verify fixes and support release readiness across staging and production environments.
• Help improve QA processes, defect triage, and product-quality standards as the company scales.

Skills

Manual QA

SaaS

Web applications

Test planning

Bug reporting

API testing

Exploratory testing

Independent work

Jira

Postman

Tools

Jira

Postman

Browser dev tools

Test management tools

Linear

Job description

Docket is building AI-powered experiences that help go-to-market teams identify, understand, and engage high-intent buyers. We are looking for a detail-oriented Manual QA Engineer to help make our product reliable, intuitive, and ready for customers.

What you will do

- ---------------

• Test web-based AI product features across functional, regression, usability, and edge-case scenarios.
• Create and maintain clear test plans, test cases, and release checklists.
• Validate AI workflows, including prompts, generated outputs, tool integrations, and failure handling.
• Partner with Product, Design, and Engineering to clarify requirements and identify risks early.
• Reproduce, document, and prioritize bugs with precise steps, expected behavior, actual behavior, and supporting evidence.
• Perform exploratory testing to uncover issues not covered by predefined test cases.
• Verify fixes and support release readiness across staging and production environments.
• Help improve QA processes, defect triage, and product-quality standards as the company scales.

What we are looking for

- ----------------------

• 2 years of manual QA experience for SaaS or web applications.
• Strong understanding of software-testing fundamentals, including functional, regression, integration, smoke, and exploratory testing.
• Experience testing APIs, browser-based applications, and third-party integrations.
• Comfort evaluating AI-powered features, where outputs may vary and quality includes relevance, safety, and user experience.
• Excellent written communication and a disciplined approach to bug reporting.
• Ability to work independently, manage competing priorities, and collaborate in a fast-moving startup environment.
• Familiarity with tools such as Linear, Jira, Postman, browser developer tools, and test-management platforms.

Nice to have

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• Experience testing B2B SaaS, CRM, marketing, sales, or analytics products.
• Exposure to automated testing frameworks or an interest in growing into automation.
• Experience with LLM evaluation, prompt testing, or AI safety and quality workflows.
• Basic SQL, API, or frontend debugging knowledge.

What success looks like

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• Releases ship with clear quality coverage and known risks documented.
• Customer-impacting defects are identified before production whenever possible.
• Product teams have fast, actionable feedback throughout development.
• QA processes become more repeatable and scalable as Docket grows.

How we will evaluate your answers

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• We will look at how you connect product behavior to user needs, support your conclusions with evidence, distinguish observations from assumptions, and prioritize concerns. One well-investigated finding is more useful than a long list of unsupported observations. Finding a severe bug is not required.