Engineering Manager, Copilot

Overview

Lead Twin Health's Copilot team, an AI-powered platform for clinical operations, as a hands-on Engineering Manager responsible for team growth, delivery and outcomes.

What you'll do

• 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.

What you'll need

• 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.
• Bachelor's or Master's degree in Computer Science or a related field.

Nice to have

• 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.

Details

• Remote, based out of the U.S.
• Applicants must be authorized to work for any employer in the U.S.; visa sponsorship is not available.
• Compensation range: $200,000 - $220,000 USD annually.