
501 - 1000 employees
Founded 2015
đ„ Healthcare
âïž SaaS
đ€ Artificial Intelligence
Healthcare âą SaaS âą Artificial Intelligence
Sword Health is a digital health company offering an AI Care platform that combines artificial intelligence with licensed clinicians to provide virtual care primarily for musculoskeletal (MSK) pain, women's health, cardiometabolic health, and mental health. Their platform includes AI-driven digital physical therapy for pain (Thrive), women's health program (Bloom), cardiometabolic program (Pulse), mental health support (Mind), and Predict, an AI engine to identify members at high risk for avoidable surgeries. Sword sells to employers, health plans, unions, consultants & brokers, and individuals, focusing on measurable cost savings, surgical avoidance, and improved clinical outcomes. They emphasize security, privacy, and clinical evidence with peer-reviewed studies and validated ROI.
đ„ 35 minutes ago
đ”đč Portugal â Remote
đ” âŹ70k - âŹ110k / year
â° Full Time
đ Senior
đ§âđ» Full-stack Engineer
đ» Ghost score 0%
Where this job comes from
Posted on Sword Health's careers page, not through a job board
First seen by Remote Rocketship 35 minutes ago

501 - 1000 employees
Founded 2015
đ„ Healthcare
âïž SaaS
đ€ Artificial Intelligence
Healthcare âą SaaS âą Artificial Intelligence
Sword Health is a digital health company offering an AI Care platform that combines artificial intelligence with licensed clinicians to provide virtual care primarily for musculoskeletal (MSK) pain, women's health, cardiometabolic health, and mental health. Their platform includes AI-driven digital physical therapy for pain (Thrive), women's health program (Bloom), cardiometabolic program (Pulse), mental health support (Mind), and Predict, an AI engine to identify members at high risk for avoidable surgeries. Sword sells to employers, health plans, unions, consultants & brokers, and individuals, focusing on measurable cost savings, surgical avoidance, and improved clinical outcomes. They emphasize security, privacy, and clinical evidence with peer-reviewed studies and validated ROI.
âą Build, lead, and mentor a high-performing growth engineering team âą Set standards for execution velocity, testing rigor, and code quality âą Architect, scale, and maintain experimentation infrastructure, including feature flagging, cohort targeting, dynamic personalization, and multi-armed bandit systems âą Drive full-funnel engineering initiatives across web and mobile platforms to optimize member acquisition, onboarding completion, subscription conversions, and retention loops âą Implement event instrumentation and data pipelines with Data Science for accurate attribution, funnel telemetry, and statistically sound experiment results âą Partner with Product, Design, and Marketing leadership to translate business objectives into technical roadmaps and experimentation cycles âą Champion data-informed decision-making, rapid iteration, and pragmatic trade-offs between speed-to-market and long-term architecture âą Ensure system performance, data consistency, and failure recovery across critical growth touchpoints and checkout flows âą Lead integration of AI tools across engineering workflows while ensuring security, correctness, and maintainability
âą Proven experience building and operating production services at scale, with deep technical expertise in TypeScript and modern web/mobile architectures âą Prior leadership experience hiring, managing, or technically guiding growth engineering teams in high-growth product environments âą Expertise in experimentation engines, feature flag management, event telemetry, and full-funnel analytics âą Strong business acumen and fluency in CAC, LTV, activation velocity, conversion rates, and cohort retention âą Solid foundations in API design, relational databases, data modeling, asynchronous processing, and automated testing âą Ability to translate commercial goals into pragmatic technical solutions while balancing speed and system durability âą Exceptional communication and cross-functional leadership skills across executive, technical, and non-technical stakeholders âą Demonstrated Builder (Level 2) or Integrator (Level 3) AI proficiency, with practical experience embedding AI tools into team workflows âą Fluent English, written and spoken âą Nice to have: experience with consumer subscription models, payment integrations, or entitlement architectures at scale âą Nice to have: familiarity with ML-driven personalization, recommendation systems, or automated lifecycle messaging platforms âą Nice to have: experience with Go, cloud infrastructure (AWS/GCP), and event-driven architectures
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