Senior Engineering Manager, Treatments Platform

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. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health. 

We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

We are looking for a Senior Engineering Manager to join our team and play a key role in evolving our treatment platform across nutrition, activity and medication management. This is an exciting opportunity to work at the intersection of healthcare, backend engineering, and system integrations, collaborating closely with backend, mobile, and AI engineers, as well as clinical operations teams to streamline workflows and enhance member experience.

• →Lead, coach, and grow a team of backend and full-stack engineers: hiring, performance management, career development, and retention.
• →Set and enforce a high engineering bar — from system architecture that scales with rapid growth down 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.
• →Regular travel to our Menlo Park headquarters for planning workshops and team collaboration sessions.
• →Other duties as assigned.

• 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, 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: 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.
• Excellent written and verbal communication skills.
• Experience in healthcare or regulated environments (HIPAA) is a plus.
• Experience with or exposure to Generative AI and Predictive AI is a plus, but not required.
• This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.