Engineering Manager, AI Productivity

Abridge Abridge · Vertical AI · San Francisco, CA · Builder

This role is for an Engineering Manager focused on improving developer experience and productivity within an AI-powered healthcare platform company. The manager will lead a team responsible for the developer platform, cloud infrastructure, and CI/CD systems, with a strong emphasis on integrating AI into the software development lifecycle to accelerate delivery, improve code quality, and enhance developer productivity. The role involves technical leadership, team building, and operational excellence, aiming to reduce friction and increase velocity for engineers.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 3+ years of engineering management experience in rapidly growing organizations
  • Experience leading and growing teams of engineers, including hiring and performance management
  • Strong execution mindset with the ability to scope work, prioritize effectively, and deliver results
  • Comfortable working hands-on with technical systems, including architecture and design discussions
  • Experience building and evolving platform systems

Nice to have

  • developer experience
  • developer productivity
  • cloud infrastructure
  • CI/CD systems
  • AI-assisted development

What the JD emphasized

  • AI-augmented software delivery
  • embedding AI deeply into the development lifecycle
  • AI-assisted development workflows
  • AI-powered development tools and workflows