Manage and scale engineering and data science teams, build AI-powered systems, oversee data pipelines, and enhance ML models to improve healthcare engagement.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com.
We're looking for a Technology Lead to scale Predict's engineering and data science functions as we enter our next phase of growth. This is a player-coach role where you'll architect and build AI-powered engagement systems while developing a high-performing team of backend engineers, data scientists, and AI engineers. You'll be a central thought partner to the GM, Head of Product, and Growth Marketing Lead —translating complex ML systems into accessible, scalable solutions that drive member engagement and business growth.
You'll directly manage a team of backend engineers, data engineers, data scientists and AI/ML engineers.
This is a pivotal moment for Predict. You'll be building the technical foundation that enables us to scale from thousands to tens of thousands of members while maintaining personalized, intelligent engagement. You'll have the autonomy to shape our technical strategy, the resources to build a world-class team, and the opportunity to apply cutting-edge AI to meaningfully improve healthcare outcomes.
What you’ll be doing:
- Design and build the autonomous system that takes "high risk" signals and triggers coordinated Email, SMS, and Voice outreach at scale.
- Build the backend systems that power our AI concierge—enabling agents to intelligently reach out, engage, and guide members through their care journey.
- Oversee data ingestion and tagging pipelines that process healthcare claims data for ML models.
- Improve our ML models using latest technologies and techniques to increase the relevance of our targeting and outreach.
- You'll lead the development of our agentic AI systems, including: Outbound AI Voice Agents (and Set up payloads and integrations); Multi-channel agents with sophisticated backend orchestration and API composition.
- Build tools and dashboards to monitor, evaluate, and improve agent performance.
- Implement metrics for AI agent success and identify failure modes.
- Evaluate foundation models and understand tradeoffs for specific use cases.
- Manage LLM token budgets, latency, and performance through smart routing and caching.
What you need to have:
- Production ML Experience: 5+ years developing and deploying machine learning algorithms in production environments.
- AI Agent Development: End-to-end experience building AI agents, including prompt engineering, model evaluation, and agentic workflows.
- Backend Engineering: Strong backend architecture skills — you can design scalable systems, not just train models.
- Engineering Management: 2+ years managing diverse technical teams (3-10 people), with a track record of developing and elevating engineers.
- High-Growth Experience: You've worked in fast-paced, high-growth environments where you've had to balance speed and quality.
- Technical Leadership: Comfortable being in the code while also setting technical direction and strategy.
- Cross-Functional Collaboration: Proven ability to work with business leaders, product teams, and growth teams to make technology accessible and understandable.
What we would love to see:
- Healthcare claims data experience or work in regulated industries (fintech, insurtech).
- Light full-stack capabilities for building internal evaluation tools.
- Experience with LLM optimization (token management, caching, model routing).
- Data science algorithm development.
- Experience with agentic frameworks and multi-agent systems.
To ensure you feel good solving a big Human problem, we offer:
- A stimulating, fast-paced environment with lots of room for creativity;
- A bright future at a promising high-tech startup company;
- Career development and growth, with a competitive salary;
- The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
- A flexible environment where you can control your hours (remotely) with unlimited vacation;
- Access to our health and well-being program (digital therapist sessions);
- Remote or Hybrid work policy;
- To get to know more about our Tech Stack, check here.
US - Sword Benefits & Perks:
• Comprehensive health, dental and vision insurance*
• Life and AD&D Insurance*
• Financial advisory services*
• Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)*
• Health Savings Account*
• Equity shares*
• Discretionary PTO plan*
• Parental leave*
• 401(k)
• Flexible working hours
• Remote-first company
• Paid company holidays
• Free digital therapist for you and your family
*Eligibility: Full-time employees regularly working 25+ hours per week
Note: Applicants must have a legal right to work in the United States, and immigration or work visa sponsorship will not be provided.
SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
Top Skills
AI
Backend Systems
Data Engineering
Database Systems
Llm Optimization
Machine Learning
Multi-Channel Agents
Prompt Engineering
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