Senior Engineering Manager

About the role

Rad AI is actively seeking a Senior Engineering Manager to lead one of our core product engineering teams in shaping the future of healthcare through artificial intelligence. The role owner will be responsible for end-to-end execution on critical product roadmaps that directly impact radiology workflows used by thousands of clinicians daily. You will raise the technical bar by guiding architectural and design decisions to ensure systems meet healthcare-grade reliability and compliance standards. This position requires navigating complex tradeoffs between innovation, delivery speed, and operational stability in a high-stakes medical environment. You will partner cross-functionally with diverse stakeholders to translate clinical and customer problems into actionable engineering initiatives. The role demands a leader who can balance strategic technical vision with hands-on execution and mentorship. Ultimately, you will define how clinicians experience AI-powered solutions that support medical imaging and decision-making at scale.

Key facts

What you'll do

• Own end-to-end execution on your team's roadmap from planning, prioritization, delivery, rollout, and iteration across one or more core products.
• Raise the technical bar by guiding architecture and design decisions, ensuring your team builds observable, maintainable systems that meet healthcare-grade reliability standards.
• Partner cross-functionally with Product, Implementations, Design, Clinical, Customer Success, and GTM counterparts to translate customer problems into clear, actionable engineering work.
• Drive continuous improvement across planning, estimation, code review, incident response, on-call, and documentation while evolving team processes and pushing the limits of AI to unlock new levels of efficiency and quality.
• Use data and metrics to drive decisions, defining and tracking the right leading indicators for reliability, performance, and delivery health.
• Hire exceptional engineers, develop the talent already on your team, and foster a culture of psychological safety, ownership, and continuous learning.
• Translate strategic product goals into technical execution plans that align engineering efforts with business outcomes and customer needs.
• Establish robust technical practices that enable scalable, secure, and maintainable software delivery in a regulated healthcare context.
• Collaborate with data science and research teams to integrate advanced AI capabilities into production workflows effectively.
• Monitor and optimize system performance, reliability, and user experience to ensure consistent value delivery to internal and external customers.
• Lead incident investigations and postmortems to drive learning and prevent future disruptions in critical healthcare environments.
• Build and maintain strong relationships with key stakeholders to ensure alignment and transparency across the product development lifecycle.
• Mentor engineers in best practices around code quality, testing, and system design to elevate the overall engineering standard.
• Contribute to the technical roadmap by identifying opportunities for automation, efficiency gains, and innovative AI applications.

Requirements

• 6-8+ years of experience managing software engineers with a proven track record leading teams that ship and operate production software at scale.
• A strong engineering foundation where you started as a hands-on engineer and are still comfortable going deep in technical discussions even if you're no longer the primary coder.
• Experience leading teams building production web or cloud applications in modern stacks (e.g., Python, TypeScript/JavaScript, React, distributed systems on a major cloud provider).
• Excellent execution and stakeholder management: you set clear priorities, navigate tradeoffs, and keep teams aligned when requirements evolve.
• Strong communication across technical and non-technical audiences with a track record of influencing across functions without formal authority.
• A pragmatic, outcomes-oriented mindset where you've balanced ideal architecture with real-world constraints and have bias toward incremental, value-driven delivery.
• Genuine enjoyment of building and scaling healthy engineering teams: hiring, onboarding, performance management, and career development.
• Comfort working in a fast-paced, mission-critical environment where decisions directly impact patient care and clinical workflows.

Nice to have

• Familiarity with healthcare data workflows, medical imaging pipelines, or regulatory considerations such as HIPAA and DICOM standards.
• Experience working with large language models or generative AI systems in production environments.
• Background collaborating with clinical stakeholders such as radiologists, physicians, or medical operations teams.
• Knowledge of AI-powered software in radiology or diagnostic imaging use cases.
• Experience managing integrations with electronic health record systems or hospital information systems.

Practical notes

• This role is based in San Francisco and requires in-office presence.
• Full-time employment with standard working hours applies.
• Candidates must be eligible to work in the United States without sponsorship for this position.