Technology Manager

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

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.

• 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.
• 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.

• 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.

• 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…