Senior QA Manual – AI Product (Remote, Fast Releases)

Lever, Inc.

Denmark

On-site

DKK 600,000 - 900,000

Full time

9 days ago

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Fully remote

Full-time

28 vacation days

Wellness days

Referral bonuses

Training reimbursement

English discounts

Health support

Home office stipend

Recognition program

AI tooling access

Job summary

Lever, Inc. is seeking a Senior QA Manual (AI Product) based in Denmark to ensure quality across mobile, web, and backend layers in a fast-paced release cycle. This role blends hands-on testing with automation of repetitive checks and AI tooling to boost QA efficiency, working closely with engineering and product teams.

You will plan tests, write detailed test docs, and help drive improvements across the product and its user experience.

Qualifications

Strong professional experience in manual QA testing across mobile, web, and backend environments.
Hands-on experience creating and executing checklists, test cases, test scenarios, and structured QA documentation.
Solid understanding of client-server architecture and how QA integrates into Agile development and release cycles.
Practical experience with Jira, Confluence, TestRail or Allure TestOps, MS SQL Server, Fiddler, and Postman.
Demonstrated use of AI tools as part of an everyday QA workflow.

Responsibilities

Plan testing scope, timelines, scenarios, and coverage for product releases.
Create, maintain, and execute detailed test cases, checklists, and test documentation.
Test and stabilize patches within a rapid release cycle, supporting production deployments several times per week.
Perform hands-on testing across mobile, web, and backend components.
Identify defects quickly, investigate issues, and document them clearly so engineering teams can act without unnecessary follow-up.
Work with client-server applications and assess how changes affect different parts of the product.
Support QA activities throughout the Agile development and release lifecycle rather than treating testing solely as a final quality gate.
Continuously improve QA processes by standardizing repetitive checks and eliminating unnecessary manual work.
Evaluate and integrate AI tools that can meaningfully improve testing efficiency and productivity.
Contribute a product-focused perspective by identifying opportunities to improve the overall user experience and product quality.