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Overview
Mid-Level

QA Analyst - Dawn

Confirmed live in the last 24 hours

Sword Health

Sword Health

PT
On-site
Posted April 1, 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.

We are looking for a QA Analyst to join our Mental Health products team. This is not a traditional testing role. We’re looking for someone who is deeply invested in product quality and user experience, and who wants to be involved from the earliest stages of product development, not just during testing. You will work closely with Product, Engineering, Design, Clinical, and AI teams to ensure we are building experiences that are not only functional, but truly meaningful for our members.

Our Mental Health team builds products that support people in their daily lives — from AI-guided conversations to clinically-informed interventions. We operate at the intersection of technology, AI, and clinical science, and quality is critical: every interaction can have a real impact on someone’s wellbeing. You will be part of a cross-functional team working across mobile app, backend systems, and AI-driven experiences.

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