---
title: 'AI Automation QA Engineer at Twin Health'
canonical: 'https://feeny.ai/job/ai-automation-qa-engineer-twin-health-menlo-park-zrcjnj87hr0w'
type: 'job'
last_seen: '2026-10-13'
---

# AI Automation QA Engineer at Twin Health

- **Company:** Twin Health
- **Location:** Menlo Park, CA
- **Compensation:** $130k–$140k
- **Work type:** remote
- **Posted:** 2026-09-29
- **Last confirmed live:** 2026-10-13
- **Apply:** https://job-boards.greenhouse.io/twinhealth/jobs/6210270004

## Job description

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](http://twinhealth.com/) email address. We will never ask you to complete a text interview or request financial details during the interview process.

## About Twin Health

## Company Overview
- **One-liner**: Twin Health combines a Whole Body AI Digital Twin with personalized clinical care to reverse chronic metabolic conditions like type 2 diabetes, obesity, and fatty liver disease.
- **Entity Type**: Private (Venture-backed; latest round: Venture Round in May 2025)
- **Headquarters**: Menlo Park, California, USA
- **Founded**: 2018
- **Founders**: Jahangir Mohammed (CEO)

## Core Business
- **Primary industry/industries**: Digital health / metabolic health / healthcare technology
- **Target customers**: B2B – employers and health plans offering a metabolic health benefit; B2C indirectly through those plans
- **Mission or purpose statement**: To reverse chronic diseases and help people live healthier and happier lives by understanding that every person is unique.

## Products & Services
- **Whole Body AI Digital Twin™**: A personalized, real-time model of an individual’s metabolism built from data gathered via sensors, wearables, meal logs, and lab results. The digital twin provides daily, personalized guidance on nutrition, activity, sleep, and stress.
- **Clinical Care Team**: Personal team of providers and health coaches who guide members through lifestyle changes and medication reduction.
- **Insights & Tracking**: Continuous glucose monitoring integration, progress dashboards, and metabolic impact analysis for each food and activity.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Total funding of **$350.3M** across multiple rounds (Series A: $18M, Series B: $25.5M, Series C: $155M, Series D: $50M, plus a $48.8M venture round in May 2025)
- **Notable Investors/Partners**: Temasek Holdings (led Series D), ICONIQ Growth (led Series C), Sequoia Capital, Corner Ventures
- **Growth Signals**: 
  - Clinical validation published in NEJM Catalyst, The Lancet, Nature, JACC, and presented at the American Diabetes Association and American Heart Association.
  - 73% of members eliminated glucose-lowering medications; average A1C drop of 2.2 points; average weight loss of 14 lbs in 6 months.
  - Named one of “America’s Best Startup Employers 2024” by Forbes and “Most Loved Workplace® 2024” by Newsweek.

## Competitive Advantages
- **Proprietary Whole Body AI Digital Twin technology**: A unique, patented approach that models each person’s unique metabolism in real time.
- **Clinically proven outcomes**: Peer-reviewed studies in top journals (NEJM Catalyst, The Lancet, Nature Scientific Reports) show diabetes reversal and medication elimination.
- **End-to-end integrated care model**: Combines AI-driven insights with a human clinical care team, achieving both clinical and cost savings (e.g., $8.4K annual savings per member on high-cost meds).

## Strategic Focus
- Scaling partnerships with employers and health plans to expand access to the metabolic health benefit.
- Continuing clinical research to deepen the evidence base for reversing type 2 diabetes, obesity, and related conditions.
- Enhancing the AI digital twin platform with additional insights (e.g., managing hypertension, PCOS).

## Why Work Here
- **Culture & Recognition**: Certified “Most Loved Workplace® 2024” and named a Forbes “America’s Best Startup Employer 2024.” High Glassdoor rating (4.1) and 86% CEO approval.
- **Remote/Hybrid Policy**: Most roles are remote within the USA; flexible work hours.
- **Benefits**: Unlimited PTO, 100% paid medical/dental/vision for employees (80% for families), 16 weeks paid primary parental leave (8 weeks secondary), 401(k) with financial wellness advocates, personalized perk stipends.
- **Engineering Culture**: Open roles in AI, platform engineering, data analytics, product design; emphasis on candid communication, shared principles, and making the best idea win.

## Sources
1. [usa.twinhealth.com/company](https://usa.twinhealth.com/company)
2. [usa.twinhealth.com/careers](https://usa.twinhealth.com/careers)
3. [usa.twinhealth.com](https://usa.twinhealth.com/)
4. [linkedin.com/company/twinhealth](https://www.linkedin.com/company/twinhealth)
5. [job-boards.greenhouse.io/twinhealth](http://job-boards.greenhouse.io/twinhealth)

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