
201 - 500 employees
Founded 2015
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Sword Health is a digital health company that combines artificial intelligence with clinical expertise to provide world-class care for muscle, joint, and pelvic health conditions. By offering digital physical therapy and AI-driven care, Sword helps individuals recover from physical ailments from the comfort of their own home, avoiding surgeries and reducing the need for medications. The company provides employers, health plans, and individuals with personalized treatment plans that are cost-effective and have proven outcomes in pain reduction and improved productivity. Sword Health is dedicated to expanding access to high-quality care and ensuring health equity across global communities.
🔥 14 hours ago
Where this job comes from
Posted on Sword Health's careers page, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on Sword Health's site. Checked 1 hour ago.

201 - 500 employees
Founded 2015
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Sword Health is a digital health company that combines artificial intelligence with clinical expertise to provide world-class care for muscle, joint, and pelvic health conditions. By offering digital physical therapy and AI-driven care, Sword helps individuals recover from physical ailments from the comfort of their own home, avoiding surgeries and reducing the need for medications. The company provides employers, health plans, and individuals with personalized treatment plans that are cost-effective and have proven outcomes in pain reduction and improved productivity. Sword Health is dedicated to expanding access to high-quality care and ensuring health equity across global communities.
• Build, lead, and mentor a high-performing growth engineering team • Set standards for execution velocity, testing rigor, and code quality • Architect, scale, and maintain experimentation infrastructure, including feature flagging, cohort targeting, dynamic personalization, and multi-armed bandit systems • Drive full-funnel engineering initiatives across web and mobile platforms to optimize member acquisition, onboarding completion, subscription conversions, and retention loops • Implement event instrumentation and data pipelines with Data Science for accurate attribution, funnel telemetry, and statistically sound experiment results • Partner with Product, Design, and Marketing leadership to translate business objectives into technical roadmaps and experimentation cycles • Champion data-informed decision-making, rapid iteration, and pragmatic trade-offs between speed-to-market and long-term architecture • Ensure system performance, data consistency, and failure recovery across critical growth touchpoints and checkout flows • Lead integration of AI tools across engineering workflows while ensuring security, correctness, and maintainability
• Proven experience building and operating production services at scale, with deep technical expertise in TypeScript and modern web/mobile architectures • Prior leadership experience hiring, managing, or technically guiding growth engineering teams in high-growth product environments • Expertise in experimentation engines, feature flag management, event telemetry, and full-funnel analytics • Strong business acumen and fluency in CAC, LTV, activation velocity, conversion rates, and cohort retention • Solid foundations in API design, relational databases, data modeling, asynchronous processing, and automated testing • Ability to translate commercial goals into pragmatic technical solutions while balancing speed and system durability • Exceptional communication and cross-functional leadership skills across executive, technical, and non-technical stakeholders • Demonstrated Builder (Level 2) or Integrator (Level 3) AI proficiency, with practical experience embedding AI tools into team workflows • Fluent English, written and spoken • Nice to have: experience with consumer subscription models, payment integrations, or entitlement architectures at scale • Nice to have: familiarity with ML-driven personalization, recommendation systems, or automated lifecycle messaging platforms • Nice to have: experience with Go, cloud infrastructure (AWS/GCP), and event-driven architectures
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