Engineering Manager, Copilot

Twin Health; United States; Remote; USD 200,000 - 220,000; Full time

Benefits offered by this job

Remote work

Equity opportunity

Unlimited vacation

Parental leave 16 weeks

Employer-sponsored healthcare

HSA/FSA options

401k plan

Job summary

Twin Health is hiring an Engineering Manager to lead the Copilot team, an AI-powered platform for clinical operations. The role blends hands-on technical leadership with people management to ship reliable AI-enabled healthcare software in a regulated environment.

You will own delivery, collaborate with Product and Clinical Operations, and set high engineering standards while guiding architecture, testing, and observability. Remote, US-based opportunity.

Qualifications

• 8+ years of software engineering experience, including at least 2 years directly managing engineers (hiring, performance management, and career development).
• Track record of leading a team through end-to-end delivery of customer-facing products, from definition through launch, measurement, and iteration.
• 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, 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.
• Excellent written and verbal communication skills, including explaining technical risk to non-technical audiences.
• Comfortable in a fast-moving, growth-stage environment where priorities shift.
• Experience shipping LLM agents or AI-powered products in production is a plus.
• Experience building products in healthcare or other regulated industries is a plus.
• Familiarity with AWS, Kubernetes, and CI/CD pipelines is a plus.
• 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.

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 delivery for Copilot end-to-end: planning, sequencing, dependencies, and getting work into 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, from system architecture that scales with growth down to 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 the call while offering guidance where it adds the most value.
• 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.
• Other duties as assigned

Skills

Team leadership

Full-stack engineering

Backend development

API design

Python & FastAPI

Observability & ops

AI workflows

Cross-functional collaboration

Regulated healthcare

Communication skills

Education

Bachelor's or Master's in CS

Tools

AWS

Kubernetes

CI/CD

SQL databases

Event-driven systems

Job description

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.

Working here

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 seeking an Engineering Manager to lead our Copilot team. Copilot is our AI-powered platform for clinical operations: it drafts responses, routes member messages, and flags issues so care teams spend less time on administrative work and more time with members.

This is a hands‑on management role. You will own the team, the delivery, and the outcomes. You'll stay close enough to the code and architecture to make good technical calls, but your main job is building a team that ships reliable AI-powered products in a regulated healthcare environment.

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 delivery for Copilot end-to-end: planning, sequencing, dependencies, and getting work into 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, from system architecture that scales with growth down to 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 the call while offering guidance where it adds the most value.
• 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.
• Other duties as assigned

Qualifications

• 8+ years of software engineering experience, including at least 2 years directly managing engineers (hiring, performance management, and career development).
• Track record of leading a team through end-to‑end delivery of customer-facing products, from definition through launch, measurement, and iteration.
• 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. Python and FastAPI experience is a strong plus.
• Experience architecting and operating production systems at scale: 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.
• Excellent written and verbal communication skills, including explaining technical risk to non‑technical audiences.
• Comfortable in a fast‑moving, growth‑stage environment where priorities shift.
• Experience shipping LLM agents or AI‑powered products in production is a plus.
• Experience building products in healthcare or other regulated industries is a plus.
• Familiarity with AWS, Kubernetes, and CI/CD pipelines is a plus.
• Bachelor's or Master's degree in Computer Science or a related field.
• 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.

Compensation and Benefits

The compensation range for this position is $200,000 - $220,000 annually.

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting‑edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

• A competitive compensation package in line with leading technology companies
• A remote and accomplished global team
• Opportunity for equity participation
• Unlimited vacation with manager approval
• 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non‑delivering parents
• 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
• 401k retirement savings plan

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Twin Health's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

We may use technology, including AI tools, to help our recruiting team review applications and identify relevant qualifications. These tools support our recruiters but do not make hiring decisions. All applications are reviewed by members of our hiring team.