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Twin Health

Delivers digital twin for metabolic health.

Senior Engineering Manager

Engineering LeadershipPosted on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Computer Science or a STEM-related field is required; a master's degree is preferred.
  • At least 8 years of software engineering experience, including at least 3 years managing engineering teams, with a track record of hiring, developing, and retaining strong engineers.
  • 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, on-call, incident management, and performance optimization.
  • Hands-on experience with AI-assisted development workflows.
  • Demonstrated success partnering with product, design, and operations stakeholders, including roadmap governance and prioritization in a high-demand environment.
  • Experience with healthcare or regulated environments, including HIPAA, is a plus.
  • Experience with or exposure to Generative AI and Predictive AI is a plus, but not required.
  • Applicants must be authorized to work for any employer in the U.S.

Responsibilities

  • Lead, coach, and grow a team of backend and full-stack engineers through hiring, performance management, career development, and retention.
  • Set and enforce a high engineering bar, from scalable system architecture to rigorous design reviews, comprehensive automated testing, and production-grade observability.
  • Champion AI-assisted engineering practices to increase metrics impact with velocity and quality.
  • Collaborate with product, design, and operations teams to understand requirements and guide the roadmap to achieve high user impact and service quality.
  • Drive metrics-driven prioritization using business impact data and platform health metrics.
  • Collaborate with the Core AI team to integrate and deliver features powered by Generative AI and Predictive AI.
  • Take on additional responsibilities as needed, including on-call rotations.
  • Travel regularly to the Menlo Park headquarters for planning workshops and team collaboration sessions.

Desired Qualifications

  • Experience with healthcare or regulated environments, including HIPAA.
  • Experience with or exposure to Generative AI and Predictive AI.

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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