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.
AI Proficiency at Sword
AI fluency is a core expectation at Sword. 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.
How we work (and who thrives here):
- Ownership and accountability: you own outcomes, not just tasks. When something you built breaks or doesn’t deliver value, it’s yours to fix, and you don’t wait to be asked;
- Sense of urgency: you move fast, make decisions with incomplete information, and prefer shipping and learning over polishing in isolation;
- Speed over scalability: we optimize for speed of delivery, go-to-market and product-market fit, not for scale we don’t need yet. You default to the fastest path to a working experiment;
- Doing things right where it counts: speed doesn’t mean carelessness. You know which corners are safe to cut today and which ones would slow us down tomorrow, and you keep quality and reliability where they matter, especially in a clinical context;
- Experiment mindset: you treat features as hypotheses, build small, measure, and are comfortable throwing work away if it doesn’t prove value;
- AI-native way of working: you use AI tools and coding agents daily to multiply your output, and you look for ways to automate your own work and the team’s;
- Going beyond your role: you don’t stop at “my part is done”. You help product, design and clinical teammates get unblocked so that our product projects are successfully closed, not just handed off;
- Clear, direct communication: you flag risks early, explain trade-offs in plain language to non-technical colleagues, and keep everyone aligned without heavy process.
