QA Analyst, Dawn

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.

AI Proficiency at Sword Health

AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.

Explorer (Level 1) — Uses AI daily to boost personal productivity

Builder (Level 2) — Creates workflows and tools that elevate the whole team

Integrator (Level 3) — Embeds AI into products and processes at scale

Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.

Be an active participant in the product development lifecycle, ensuring quality from planning to release

Collaborate closely with Product, Engineering, and Design to clarify requirements and identify edge cases early

Define, create, and execute test cases for mobile (iOS/Android) and backend systems

Perform exploratory testing with a strong focus on user experience and product behavior

Test and validate API integrations and data flows

Identify, document, and track defects through resolution

Investigate issues using logs, tools, and internal systems

Proactively communicate quality risks, gaps, and improvements

Contribute to improving QA processes, documentation, and best practices

1-3 years of experience as a QA Analyst

Strong interest in product quality and user experience

Ability to think critically about how features work end-to-end, not just at a functional level

Experience in test case design, execution, and reporting

Good understanding of software development processes

Strong attention to detail and problem-solving skills

Proactive mindset and ownership

Comfortable working in cross-functional teams

Fluent in English (written and spoken)

Experience testing mobile applications

Experience with API testing (e.g., Postman)

Familiarity with tools like Jira, Git, or test management tools

Exposure to AI-driven products

Basic understanding of test automation