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Senior Engineering Manager

Aledade

full-remoteseniorpermanentengineering-managementbackenddata Full remote 73 days ago via WTTJ

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Tags

Machine LearningPythonMLOpsKubernetesDockerMicroservicesDistributed SystemsAI/ML Platform ArchitectureHealthcare TechnologyEngineering Leadership

About the role

Role Overview

As a Senior Engineering Manager at Aledade, you will lead a team of senior ML engineers building technologies that improve and save lives. You will drive technical solutioning, set ambitious goals, and partner with stakeholders across the company to align AI/ML initiatives with business strategy.

Responsibilities

  • Lead and grow a high-performing team of senior ML engineers (hiring, coaching, performance management).
  • Drive technical solutioning and help shape technology decisions while empowering team members.
  • Build roadmaps and set aggressive, clear goals for the team.
  • Align AI/ML work with strategic goals, ensuring day-to-day execution matches long-term objectives.
  • Collaborate cross-functionally with product, design, data science, and clinical stakeholders to deliver business outcomes.
  • Communicate effectively with both technical and non-technical audiences, building confidence in analyses.

Requirements

  • 5+ years of managerial experience leading technical engineering teams.
  • 10+ years production experience as an engineer and technical lead building scalable, reliable software.
  • BS/BTech (or higher) in Computer Science, Engineering, or related field.
  • Experience hiring, coaching, mentoring, and managing performance of world-class engineers.
  • Strong ownership mindset and ability to delegate while empowering engineers.
  • Proven ability to translate business objectives into technical roadmaps and communicate plans across audiences.
  • 7+ years in machine learning-related technologies, strong preference for Python.

Nice-to-haves / Additional Signals

  • Experience designing secure, scalable, maintainable AI/ML platform architectures.
  • Strong familiarity with distributed systems, microservices, containerization (Docker, Kubernetes), model training infrastructure, and MLOps.
  • Familiarity with current AI/ML research trends and translating research into healthcare applications.
  • Data-driven approach to inform engineering/research roadmaps and resource planning.
  • Startup experience and strong business acumen.
  • Familiarity with enterprise/healthcare AI-enabled workflows.

Location / Work Setup

  • Remote-first with flexible work schedules.

About Aledade

Aledade empowers primary care physicians with technology that helps keep patients healthy. The company focuses on healthcare technology, using AI/ML and scalable software to improve both mental and physical health outcomes.

Scraped 5/13/2026