Opportunity

QA Automation Engineer - Playwright & AI Testing Role in Columbus

Location Columbus
Company AssetWatch
Source jobicy
Posted 2026-09-01 14:34:41

Career & Market Insight

Growth-Stage Opportunity with Real Ownership: AssetWatch positions itself as an early-stage, high-growth startup in the industrial IoT/predictive maintenance space — a sector with strong enterprise demand. Joining at this phase means genuine influence over QA culture and processes, not just executing someone else's playbook.

Compensation vs. Market: The $99K–$124K USD range sits at roughly the 50th–65th percentile for a mid-level QA/SDET role in the US market (2024 benchmarks), and is competitive for a fully remote position. The addition of stock options at a growth-stage company adds meaningful upside, though liquidity timelines are uncertain.

High-Demand Skills This Role Builds:

  • Playwright + TypeScript automation — rapidly becoming the industry standard, displacing Selenium in many orgs.
  • AI-assisted testing workflows — a genuinely emerging and scarce skill set; early proficiency with GitHub Copilot, Claude, and Cursor for QA will differentiate your resume in 2–3 years.
  • CI/CD integration (GitHub Actions, GitLab CI) — core DevOps fluency that opens doors to broader SDET or DevOps Engineer roles.

Green Flags: Remote-first culture, unlimited PTO, and a modern tech stack (React, Flutter, TypeScript) signal a team that values engineer autonomy. Cross-functional collaboration with product and dev teams accelerates career growth beyond pure QA.

Watch For: "Bleeding edge" and "ground floor" startup language can mean rapid iteration but also shifting priorities. Clarify team size, QA headcount, and reporting structure to assess workload realism.

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.

With a bleeding edge tech stack, we have a unique opportunity to get you in at the ground floor to help our agile and efficient team continue building out our cloud application. If you love the startup life and the sense of urgency where the tools you build materially impact the organization's growth, let us talk.

What You'll Do:

  • Conduct thorough manual testing of new features, enhancements, and bug fixes across our web and mobile applications to ensure functionality, reliability, scalability, and usability.
  • Design and execute test plans, test cases, and exploratory testing sessions, and perform regression testing using a combination of manual and automated approaches.
  • Develop, maintain, and execute automated test suites using TypeScript and Playwright, translating manual test cases into reliable end-to-end automation and expanding coverage across the application.
  • Leverage AI-assisted and agentic coding tools (e.g., GitHub Copilot, Claude, Cursor) to accelerate test authoring, maintenance, and debugging—generating and refining Playwright tests, triaging failures, and improving coverage.
  • Build and refine agentic testing workflows, using prompts and AI agents to auto-generate test scaffolding, self-heal flaky selectors, and summarize test results, while applying sound engineering judgment to validate AI-generated output.
  • Integrate automated tests into CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) to provide fast, reliable feedback on every build.
  • Identify, document, and track software defects using Jira and Zephyr (or similar test case management, execution, and bug tracking tools).
  • Collaborate closely with cross-functional development teams to understand requirements, provide feedback on potential issues, and ensure comprehensive, timely test coverage.
  • Participate in the continuous improvement of QA processes and methodologies, maintaining clear documentation for test scripts, cases, and automation, and providing regular reports on testing progress, risks, and quality metrics.

Who You Are:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 3+ years of hands-on QA experience spanning both manual testing and test automation of web and mobile applications.
  • Strong experience building and maintaining automated end-to-end tests with TypeScript and Playwright, including solid knowledge of browser interactions, element locators, synchronization, and exception handling.
  • Experience developing or extending automation frameworks and integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).
  • Practical experience using AI-assisted and agentic coding tools (e.g., GitHub Copilot, Claude, Cursor) to write, maintain, and debug code and tests, with the judgment to review and validate AI-generated output.
  • Experience with API testing (Postman, RestAssured, or similar) and backend database testing.
  • Strong understanding of SQL and experience with SQL backend testing.
  • Familiarity with React for web application testing and Flutter for mobile application testing.
  • Proficiency with Jira for issue tracking and project management, and test case management tools such as Zephyr.
  • Excellent problem-solving and analytical skills, effective communication and collaboration, and a meticulous attention to detail.

What We Offer:

AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive – that's why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.

  • Competitive compensation package including stock options
  • Flexible work schedule
  • Comprehensive benefits including retirement plan match
  • Opportunity to make a real impact every day
  • Work with a dynamic and growing team
  • Unlimited PTO

We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.

The base salary range for this full-time position is $99,000–$124,000 USD, plus equity and benefits. Variable pay, bonuses, and other cash compensation will be discussed throughout the interview process. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Frequently Asked Questions

Is this QA Engineer role fully remote?
Yes, AssetWatch is a remote-first company with a distributed team across the United States and Ontario, Canada. However, collaboration within core working hours is required, so you must be available during standard North American business hours.
What is the salary range for this position?
The base salary range is $99,000–$124,000 USD annually, depending on location, skills, and experience. The role also includes equity (stock options) and comprehensive benefits. Variable pay and bonuses may also be discussed during the interview process.
What automation tools and frameworks are required for this role?
The role requires strong experience with TypeScript and Playwright for end-to-end test automation, CI/CD integration (GitHub Actions, GitLab CI, or Jenkins), and practical use of AI-assisted coding tools like GitHub Copilot, Claude, and Cursor.
What does AssetWatch mean by 'agentic testing workflows'?
Agentic testing workflows refer to using AI agents and prompt engineering to auto-generate test scaffolding, self-heal flaky element selectors, and summarize test results — going beyond simple code suggestions to semi-autonomous test generation and maintenance.
Which states or provinces are eligible to apply?
AssetWatch states it is open to candidates from most US states and Ontario, Canada, though not necessarily all locations. It is recommended to confirm your specific location's eligibility with the recruiter during the hiring process.
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