QA Analyst, Thrive

Confirmed live in the last 24 hours

Sword Health

Compensation

EUR22k - EUR35k/per-year-salary

Porto

On-site

Posted April 10, 2026

Job Description

At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.

Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.

Role

As a QA Analyst on the Thrive In-Session team, you won’t just validate what’s built, you’ll help define what “good” looks like. You will work closely within a cross-functional team and collaborate across departments to ensure we deliver a seamless, safe, and effective AI care experience.

In this role, you will help drive a shift-left quality mindset, contributing to prevention over detection, improving processes, and ensuring we generate the right evidence to support our product as Software as a Medical Device.

The Thrive In-Session team owns the end-to-end therapy session. This experience blends AI, clinical logic, and user interaction in a way that requires both analytical thinking and creativity. Ensuring quality here means understanding not just whether something works, but whether it works well for real people in real recovery journeys.

If Tech role: To get to know more about our Tech Stack, check here.

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