
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„ 13 minutes ago
Where this job comes from
Posted on Sword Health's careers page, not through a job board
First seen by Remote Rocketship 13 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 Work closely with business stakeholders to understand workflows, pain points, bottlenecks, and manual processes âą Identify opportunities to simplify, standardize, automate, or redesign processes âą Translate operational problems into pragmatic AI-powered tools, automations, and software solutions âą Own solutions end-to-end from process discovery and solution design through implementation, deployment, adoption, and iteration âą Build and integrate AI-driven applications using LLMs, APIs, internal systems, and workflow automation âą Handle front-end and back-end development as needed âą Measure solution impact and continuously improve based on user feedback, operational metrics, and observed outcomes âą Help the Operations team solve complex and repetitive operational challenges through process improvement, automation, and AI
âą At least 3 years of experience in software engineering, automation, AI engineering, or a similarly technical role âą Strong hands-on proficiency in JavaScript (React, Node.js) and/or Python âą Experience building practical software solutions and integrating multiple systems through APIs âą Hands-on experience with LLM APIs such as OpenAI, Anthropic, or equivalent models âą Proficiency in SQL and confidence working with data to understand processes and measure outcomes âą Strong continuous improvement mindset âą Experience working directly with business or operational stakeholders to turn ambiguous problems into concrete solutions âą Strong analytical and problem solving skills âą High levels of ownership and autonomy, with a bias toward experimentation and execution âą Strong communication skills and ability to collaborate across technical and non-technical teams âą AI proficiency at least Level 1 (Explorer) âą Experience with Lean, Kaizen, continuous improvement, process engineering, or operational excellence methodologies is desirable âą Experience automating operational workflows or transforming manual business processes is desirable âą Familiarity with RAG pipelines is desirable âą Practical experience building or orchestrating AI agents is desirable âą Experience with workflow automation platforms or agentic systems is desirable âą Familiarity with AWS, Azure, or Google Cloud is desirable âą Understanding of AI governance principles is desirable
âą Additional benefits beyond total compensation; country-specific benefits may vary and will be detailed separately âą Variable, bonus, or sales incentives may be included in total compensation âą Private company stock options may be included in total compensation
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