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Rad AIRad AISan Francisco, CA

Senior Engineering Manager

Leads core product engineering team owning roadmap execution, architecture decisions, and cross-functional partnerships to deliver reliable AI systems for healthcare. Requires 6+ years managing engineers with hands-on experience in modern web/cloud stacks.

215k – 240k
On-site6+ YOEEngineering Management

About the role

Responsibilities

  • 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.

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.

Nice-to-Haves

  • Worked in healthtech, healthcare data, or a regulated environment (HIPAA, PHI, SOC 2).
  • Familiar with radiology workflows or adjacent clinical systems (PACS, RIS, EHR, HL7/FHIR, DICOM).
  • Led teams that work closely with ML/AI systems in production.
  • Managed multiple teams or a small org, including partnering with Staff or Principal engineers to set technical direction.

Skills

PythonTypeScriptJavaScriptReactDistributed SystemsCloud ProviderHIPAASOC 2Ml/AiHl7/FhirDicom
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