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Twin Health

AI Automation QA Engineer

Menlo Park, CA

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hirly's read of this role

Role family
Engineering
Seniority
Mid level
Stated salary
$130,000 – $140,000 per year
Country
US
Work mode
Remote-friendly
First seen by hirly
30 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Design and develop automated data generation to support automated testing scenarios

Work with Developers, PM and UX designers to release an outstanding user experience for our integrated ecosystem of applications

Other duties as assigned

Qualifications

Experience testing both web UIʼs and mobile applications (iOS, Android and Flutter) for consumer-facing or other high-scale applications

Experience developing AI-driven regression automation via Claude or other recent models

Strong verbal and written communication skills

High-order analytical and critical thinking approach

Bachelorʼs degree in Computer Science or a related field

3+ years of overall experience in QA engineering focused on test automation

Strong programming experience in Java, Python or JavaScript

Experience with automation tools such as Playwright, Maestro, Appium or Selenium

Experience with SQL databases

Experience with test data generation

Experience testing REST API backends for consumer-facing or other high-scale applications

Experience with automated performance testing tools such as jMeter or locust

Experience building and maintaining evaluations for internal models is a plus, but not required

Experience validating text and voice conversational agents via tools such as Cekura is a plus, but not required

Domain experience in healthcare, biosensors, or related areas would be a plus, but is not required

This hybrid opportunity is based out of the Menlo Park office. Candidates must be authorized to work for any employer in the U.S.; we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation and Benefits

The compensation range for this position is $130,000 - $140,000 annually.

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

A competitive compensation package in line with leading technology companies

A remote and accomplished global team

Opportunity for equity participation

Unlimited vacation with manager approval

16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents

100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options

401k retirement savings plan

Salary range for US jobs

US Salary Range

$130,000 — $140,000 USD

We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.

Original posting on Twin Health's site ↗

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