AI-Driven QA Engineer

Influence Mobile is the company behind Rewarded Play — Google Play’s top rewarded gaming app in the U.S., with over 20 million users and $40M+ in rewards delivered. We operate across the US, Canada, the UK and Australia, and we’ve been named one of Washington’s Best Workplaces three consecutive years by the Puget Sound Business Journal (#3, #6, #8) and one of Inc. Magazine’s Best Workplaces in 2023. We’re a small, high-performing remote team that punches well above our weight.

We’re looking for a motivated recent college graduate with a background in Computer Science or UI/UX who is excited about using AI to transform how quality assurance works. This is not a traditional QA role. While you’ll handle manual testing for new features, the core mission is to build, implement, and continuously improve AI-driven QA processes that minimize the need for manual testing over time. You’ll be joining at a pivotal moment as we expand to iOS, giving you the chance to build QA processes for an entirely new platform from scratch. You’ll have real ownership from day one and a clear growth path into product management, project management, or a senior technical role within 18–24 months.

•      Design and execute manual test plans for new features across the Rewarded Play platform (mobile Android app, soon coming iOS app, web tools, backend services)

•      Research, evaluate, and implement AI-powered testing tools and frameworks to automate repetitive QA workflows

•      Build and maintain automated test suites that reduce manual testing time and increase coverage

•      Develop and document QA processes, test cases, and quality standards for the team

•      Collaborate with product and engineering to identify high-risk areas and prioritize testing efforts

•      Track, report, and triage bugs with clear reproduction steps and severity assessments

•      Continuously explore emerging AI tools (LLMs, visual testing AI, codegen tools) to improve QA efficiency

•      Measure and report on QA metrics: test coverage, defect escape rate, automation percentage, time-to-release

•      Participate in sprint planning, feature reviews, and release processes

Required:

•      Bachelor’s degree in Computer Science, UI/UX Design, Software Engineering, or related field (graduated within last 2 years)

•      Demonstrated interest in AI/ML tools — personal projects, coursework, or self-directed learning

•      Basic programming skills (Python, JavaScript, or similar)

•      Strong analytical thinking and attention to detail

•      Excellent written and verbal communication skills

•      Self-starter mentality — comfortable working independently in a remote environment

Nice to Have:

•      Experience with testing frameworks (Selenium, Cypress, Playwright, Appium)

•      Familiarity with CI/CD pipelines and version control (Git)

•      Experience with mobile app testing (Android preferred)

•      Knowledge of prompt engineering or AI-assisted development tools

•      Portfolio or projects demonstrating creative problem-solving

This role is designed as a launchpad, not a destination. Based on your performance, interests, and initiative, within 18–24 months you will transition into one of the following:

•      Product Manager — Own features end-to-end, drive roadmap decisions, and shape the product experience for millions of users

•      Project Manager — Lead cross-functional initiatives, manage timelines and stakeholders, and drive operational excellence

•      Senior QA / Test Automation Engineer — Architect testing infrastructure, lead QA strategy, and mentor future team members

•      Starting salary: $55,000/year

•      Health, dental, and vision insurance

•      Paid time off

•      Home office stipend

•      AI tools subscription — we’ll equip you with the best AI tools to do your job

•      Fully remote work environment

•      Performance-based salary review annually

•      Clear promotion path with defined milestones

•      Award-winning workplace culture (Inc. Best Workplaces, WA Best Workplaces 3x)

•      Opportunity to shape a greenfield QA function using cutting-edge AI tools

Skip the traditional cover letter. Instead, submit:

•      A 2-minute Loom video answering: “If you had to QA test a mobile rewards app using only AI tools, where would you start?”

•      Your LinkedIn profile URL

Send both to: daniel@influencemobile.com — Daniel Todd, CEO, will personally review every submission and conduct first-round interviews.

Our process is fast — expect a decision within 2 weeks of submission.