Engineering Manager, Platform

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge’s services and engineering teams are in hyper-scale mode, growing rapidly with our expanding customer base and new product launches. We are looking for an engineering manager to drive improvements in developer experience and productivity across our platform organization. This includes evolving our developer platform, cloud infrastructure, and CI/CD systems to enable fast, reliable, and AI-augmented software delivery. You will own a key area within the platform team, with a strong focus on improving the end-to-end developer experience; from local development to deployment and operations. You’ll partner closely with senior leadership to scope and deliver platform capabilities that reduce friction, increase velocity, and maintain high standards for reliability and security. In this role, you’ll lead a growing team of engineers, translate strategic priorities into execution, and ensure the systems and tools our engineers rely on enable them to do their best work. You’ll also play a key role in embedding AI deeply into the development lifecycle to accelerate productivity, improve code quality, and reshape how engineers build software. This is a rapidly-evolving role that sits at the intersection of AI, developer experience, platform engineering, and healthcare.   WHAT YOU’LL DO - Execution-focused leadership: Own the delivery of key initiatives focused on improving developer experience and velocity across the engineering organization. Translate high-level strategy into clear, actionable plans, and drive execution across developer tooling, CI/CD, and cloud infrastructure. Partner with product engineering, security, and other stakeholders to reduce friction in the development lifecycle and enable fast, safe delivery. Drive measurable improvements in developer productivity, including build and test times, deployment frequency, and onboarding experience. - Technical operator: Bring strong systems thinking and technical judgment to guide architecture and tooling decisions that improve developer ergonomics, feedback loops, and overall development velocity. While not expected to code daily, you should be comfortable diving into system design, evaluating developer workflows, and helping teams navigate complex infrastructure and platform challenges. Evaluate and adopt AI-powered development tools and workflows, and guide the organization in effectively leveraging them to improve productivity and code quality. - Team builder and hiring partner: Partner with leadership to grow and scale the team. Contribute to hiring efforts by identifying strong candidates, maintaining a high hiring bar, and helping evolve the hiring process. Support onboarding and create an environment where engineers can do their best work. Help build a team with a strong focus on developer experience, productivity tooling, and platform thinking. - Team leader and multiplier: Manage, mentor, and support a team of engineers, helping them grow in their careers and deliver high-impact work. Foster a culture of ownership, collaboration, and accountability, with a strong emphasis on developer empathy; treating internal engineers as customers. Act as a force multiplier by improving team processes, reducing friction, and enabling more efficient and effective development workflows. Encourage experimentation with AI-assisted development practices. - Operational excellence: Drive strong execution practices, including sprint planning, prioritization, and stakeholder communication. Continuously improve the speed and safety of the software delivery lifecycle while maintaining high reliability. Ensure your team operates effectively in a fast-paced, ambiguous environment while reducing cognitive load for engineers and maintaining high standards for quality, security, and reliability. - Developer Experience &