Sword Health

QA Engineer

• Ensure AI agents perform consistently before and after going live;
• Monitor performance across different healthcare environments and languages;
• Establish quality standards that work for AI systems, not traditional software;
• When the AI Agent does not follow the defined protocol, trace why it happened;
• Fix the underlying prompt logic and reasoning chains;
• Create new testing methods to prevent similar issues;
• Figure out how to test systems designed to be intelligent and adaptive;
• Build frameworks for testing across infinite healthcare scenarios;
• Define what "good enough" means for AI in healthcare;
• Manage compliance with MDR (Medical Device Regulation) and AI Act requirements for AI systems together with the compliance team;
• Document quality processes and verification and validation procedures for regulatory submissions;
• Help ensure the algorithms perform with the expected accuracy and do not lead to bias;
• Work with compliance teams to achieve and maintain certification of the relevant algorithms;
• Help establish industry standards for AI quality assurance;
• Become one of the few experts in AI healthcare testing methodologies.

QA Analyst, AI Solutions

Business Analyst

• Assist in day-to-day project management and operational tasks to help the team run smoothly;
• Help collect and analyze data to track key performance indicators and identify trends;
• Contribute to defining and executing new business initiatives and strategic projects;
• Identify opportunities to make processes more efficient and help implement changes;
• Support leaders in managing impact projects from start to finish, coordinating with internal teams;
• Work cross-functionally across sales, marketing, and clinical operations to support international growth.

Business Analyst Trainee

Operations

• Sword Health mission: free two billion people from pain using AI Care and clinical partnerships
• Market-building operations: establish foundational structures, processes, and playbooks for international markets
• Operational efficiency: identify gaps, bottlenecks, and opportunities for simplification and automation with an AI-first mentality
• Staffing model optimization: create and refine localized staffing models balancing member experience and utilization
• Team development: build, lead, and motivate growing teams in less mature international markets; develop leaders early
• Member experience: design and test scalable, research-backed strategies balancing global standards with local adaptation
• Clinical partnership: inform clinical development roadmap with local operational insights
• Data analysis and reporting: define tailored success metrics, set up reporting frameworks, and leverage data for resourcing and prioritization
• Finance: own operational budgets for international markets and monitor P&L performance
• Strategy: lead cross-functional initiatives to launch, stabilize, and scale Sword’s presence in new and growing international markets

QA Analyst, AI Solutions

Business Analyst Trainee

Head of International Operations