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Automated Testing​/QA Lead - SaaS Ecosystem; Remote

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: KnowBe4
Remote/Work from Home position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Systems Analyst, Cloud Computing
Job Description & How to Apply Below
Position: Automated Testing/QA Lead - SaaS Ecosystem (Remote)

About Know Be4

Join the cybersecurity company that puts security first; literally and without compromise. At KnowBe4, our AI-driven Human Risk Management platform empowers over 70,000 organizations worldwide to strengthen their security culture and transform their workforce from their biggest vulnerability into their strongest security asset. As the undisputed industry standard with unusually high customer retention rates and recognition as a Leader by G2 and Trust Radius, we're not just providing security awareness training - we're redefining what it means to be a trusted security partner in an increasingly complex threat landscape.

Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at Know Be
4.

Remote positions open in the US office only.

The Automated Testing/QA Lead is a hands-on technical leader responsible for the design, development, and execution of the organization's automated testing strategy within a complex Enterprise SaaS ecosystem. This role involves establishing best practices for end-to-end integration testing across critical business applications, including Salesforce, Netsuite, Workday, and Marketo. The Lead will focus on building robust frameworks to validate data integrity, business workflows, and API integrations orchestrated by platforms like Mulesoft, ensuring the continuous delivery of high-quality, interconnected systems.

A key responsibility is to drive innovation by incorporating AI and Machine Learning tools to accelerate the creation of acceptance criteria and to optimize the development and self-healing maintenance of automated test cases.

Responsibilities
  • Lead the architecture, design, and implementation of robust, scalable, and maintainable test automation frameworks from the ground up, primarily using Java, C++, or Python, and tools like selenium, Copado robotic testing and Ui Path
  • Champion the use of AI-driven testing tools to enhance testing efficiency, including leveraging AI to assist in refining and generating acceptance criteria from requirements and implementing self-healing/adaptive test maintenance capabilities within the automation frameworks.
  • Design and execute complex end-to-end automated test scripts that validate critical business processes spanning multiple integrated SaaS applications (Salesforce, Netsuite, Workday, Marketo).
  • Develop automated tests specifically for API and integration layers (e.g., Mulesoft), validating data synchronization, transformation, and error handling between systems.
  • Oversee the QA team, including task assignment, performance reviews, and professional development, ensuring alignment with project goals and engineering standards.
  • Integrate automated tests into the CI/CD pipeline to facilitate continuous testing and immediate feedback on code quality for both custom code and platform configurations.
  • Define and track key quality metrics, providing regular reports to stakeholders on testing progress, defect trends, and overall product quality across the SaaS landscape.
  • Collaborate closely with application owners, development, and integration teams to understand platform-specific customizations, data models, and integration requirements.
  • Drive the adoption of Quality Assurance best practices, including shift-left testing, performance testing, and security testing within a cloud-based, integrated environment.
  • Conduct training sessions and knowledge-sharing workshops for development and QA teams on automation tools and techniques specific to SaaS platforms, including emerging AI-driven tools.
  • Stay current with emerging trends and technologies in software testing and quality assurance, particularly those applicable to enterprise applications like Salesforce and Net Suite.
  • Participate in requirement reviews, design discussions, and sprint planning meetings, with a focus on cross-system impacts.
  • Manage and prioritize the backlog of…
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