AI Automation QA Engineer

Twin Health 

At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health. 

We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Working here 

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

Opportunity

Weʼre seeking an AI Automation QA Engineer with extensive manual testing and AI-driven test automation experience.  The ideal candidate will have worked in a fast-paced enterprise or start-up environment, delivering comprehensive regression test coverage of complex web and mobile applications, with strong back-end expertise.

Responsibilities 

• Via collaboration with stakeholders derive comprehensive end-to-end regression test cases and test plans covering critical application behavior 
• Design, implement and maintain robust, AI-driven, end-to-end automated regression test coverage of our web and mobile applications 
• Contribute to evaluation coverage of internally developed models 
• Derive AI-driven automated testing strategy - evolving our test infrastructure to take advantage of agentic AI for rapid prompt-driven test generation and test healing