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Twin Health

Delivers digital twin for metabolic health.

Engineering Manager - Copilot

Engineering LeadershipUpdated on Nov 13
Full-timeRemote in USA

About the Job

Requirements

  • At least 8 years of software engineering experience, including at least 2 years directly managing engineers through hiring, performance management, and career development.
  • A track record of leading a team through end-to-end delivery of customer-facing products, from definition through launch, measurement, and iteration.
  • A strong hands-on backend foundation, including microservices, API design, SQL databases, and event-driven architectures, with the credibility to lead design reviews and guide technical decisions.
  • Experience architecting and operating production systems at scale, including observability, incident management, and performance optimization.
  • Hands-on experience with AI-assisted development workflows.
  • Experience partnering with Product, Clinical Operations, and business stakeholders, including roadmap governance and prioritization in a high-demand environment.
  • Ability to explain technical risk to non-technical audiences in writing and verbally.
  • Comfort working in a fast-moving, growth-stage environment where priorities shift.
  • A Bachelor's or Master's degree in Computer Science or a related field.

Responsibilities

  • Lead, hire, and grow a team of full-stack engineers; run 1:1s, set clear expectations, give direct feedback, and invest in each engineer's development and career growth.
  • Own Copilot delivery end to end, including planning, sequencing, managing dependencies, and delivering work to production on time.
  • Partner with Product and Clinical Operations to set priorities, make tradeoffs, and guide the roadmap toward high user impact and service quality, using business impact data and platform health metrics to drive prioritization.
  • Set and enforce a high engineering bar, including scalable system architecture, rigorous design reviews, comprehensive automated testing, and production-grade observability.
  • Champion AI-assisted engineering practices to increase the team's impact, velocity, and quality.
  • Partner with the team on architecture and design decisions, empowering engineers to own decisions while providing guidance where valuable.
  • Coordinate with the AI Platform team and other engineering teams on shared infrastructure and integrations.
  • Communicate status, risks, and tradeoffs clearly to engineering, product, clinical, and executive audiences.
  • Perform other duties as assigned.

Desired Qualifications

  • Python and FastAPI experience.
  • Experience shipping LLM agents or AI-powered products in production.
  • Experience building products in healthcare or other regulated industries.
  • Familiarity with AWS, Kubernetes, and CI/CD pipelines.

About the Company

Twin Health

Delivers digital twin for metabolic health.

Twin Health uses the Whole Body Digital Twin to monitor metabolism in real time and personalize treatment for chronic metabolic diseases like diabetes. Clients subscribe to the platform and receive medical coaching; sensors feed data to an AI model that builds a virtual body and guides interventions. It differentiates itself by targeting the root metabolic dysfunction with continuous sensing, AI insights, and partnerships with healthcare providers and insurers. The goal is to reverse and prevent metabolic diseases by restoring healthy metabolism through scalable, subscription-based care.

Company size
501-1,000
Company stage
Series E
Total funding
$286.5M
Headquarters
Menlo Park, CA
Founded
2018

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