Senior Engineering Manager
Twin Health · Remote, USA
About this role
**Twin Health** At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. We apply AI Digital Twin technology exclusively toward metabolic health—building a dynamic model of each person’s metabolism using thousands of data points (CGMs, smartwatches, and meal logs) and guiding members with a dedicated clinical care team. **Working here** Our team is passionate, talented, and united by a shared purpose: improve the metabolic health and happiness of our members. Twin has been recognized for both innovation and culture, including Innovator of the Year (EHIR), CB Insights’ Digital Health 150, and Newsweek’s Top Most Loved Workplace®. With more than $100M raised (including a $53M Series E in 2025 led by Maj Invest and a $50M investment in 2023 led by Temasek), Twin is scaling rapidly across the U.S. and globally. --- ## Opportunity We’re looking for a **Senior Engineering Manager** to lead our **Enrollment** team and help shape how members join Twin Health. Enrollment is the front door to our treatment platform—eligibility and onboarding through clinical intake and getting a member started—directly impacting member experience, partner satisfaction, and business growth. This role sits at the intersection of healthcare, backend engineering, and system integrations. You’ll collaborate closely with backend, mobile, and AI engineers, as well as clinical operations and partner teams, to streamline workflows, reduce friction, and scale enrollment to meet rapid growth. *Candidates may be considered for multiple open roles across Twin Health throughout the review and interview process as teams identify matching opportunities.* --- ## Responsibilities - Lead, coach, and grow a team of backend and full-stack engineers (hiring, performance management, career development, retention) - Set and enforce a high engineering bar: scalable system architecture, rigorous design reviews, comprehensive automated testing, and production-grade observability - Champion AI-assisted engineering practices to improve velocity, quality, and impact - Collaborate with product, design, and operations to understand requirements and guide the roadmap - Drive metrics-driven prioritization using business impact data and platform health metrics - Partner 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 - Regular travel to Menlo Park headquarters for planning workshops and team collaboration - Other duties as assigned --- ## Qualifications - Bachelor’s degree in Computer Science or a STEM-related field (Master’s preferred) - 8+ years of software engineering experience, including 3+ years managing engineering teams, with a track record of hiring, developing, and retaining strong engineers - Strong hands-on backend foundation (microservices, API design, SQL databases, event-driven architectures) with credibility to lead design reviews and guide technical decisions - Experience architecting and operating production systems at scale (observability, on-call, incident management, performance optimization) - Hands-on experience with AI-assisted development workflows - Proven success partnering with product, design, and operations stakeholders (roadmap governance and prioritization in a high-demand environment) - Excellent written and verbal communication skills
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