Abridge
Healthcare
EngineeringManager,AIProductivity
“Engineering Manager, AI Productivity at Abridge. Skills: Engineering Management, AI Productivity, Developer Experience, Platform Engineering, Cloud Infrastructure, CI/CD. Drive improvements in developer experience and productivity across the platform organization. Evolve developer platform, cloud infrastructure, and CI/CD systems”
What You'll Achieve.
Improvements in developer experience and productivity; Fast, reliable, and AI-augmented software delivery; Reduced friction in the development lifecycle; Increased velocity; High standards for reliability and security; Measurable improvements in developer productivity; Improved code quality; Reshape how engineers build software; Enable engineers to do their best work; Improve developer ergonomics, feedback loops, and overall development velocity; Deliver high-impact work; Reduce cognitive load for engineers; Maintain high standards for quality, security, and reliability; Deliver measurable impact from AI tools
Industry & Context.
Systems thinking; Technical judgment; Help teams navigate complex infrastructure and platform challenges; Identify and eliminate friction in the developer journey
What They're Looking For.
Must Have
3+ years of engineering management experience in rapidly growing organizations, Experience leading and growing teams of engineers, including hiring and performance management, 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 that improve developer velocity and system reliability, including cloud infrastructure, developer platforms, and CI/CD systems, Experience improving developer experience across local development, CI/CD pipelines, internal tooling, and developer workflows, Experience using metrics to drive improvements in developer productivity (e. g. , DORA metrics, build times, deployment frequency, onboarding time), Familiarity with production systems in public cloud environments (AWS, GCP, or similar), Experience with containerized environments, Kubernetes, and modern infrastructure tooling (e. g. , ArgoCD, Istio, Atmos), Track record of leveraging AI tools and workflows to materially improve developer productivity, engineering velocity, and operational efficiency, Communication skills and ability to collaborate across teams and functions, including security as a key partner, Passion for building high-performing teams and delivering impactful infrastructure, Genuine passion for Abridge’s mission to improve healthcare in America and across the world
Nice to Have
Kubernetes a plus
What You'll Do.
Drive improvements in developer experience and productivity across the platform organization
Evolve developer platform
and AI-augmented software delivery
Own a key area within the platform team
focusing on improving the end-to-end developer experience
Partner closely with senior leadership to scope and deliver platform capabilities
Lead a growing team of engineers
Translate strategic priorities into execution
Ensure systems and tools enable engineers to do their best work
Embed AI deeply into the development lifecycle
Own the delivery of key initiatives focused on improving developer experience and velocity
Translate high-level strategy into clear
Drive execution across developer tooling
and cloud infrastructure
Partner with product engineering
and other stakeholders
Drive measurable improvements in developer productivity
Guide architecture and tooling decisions
Evaluate and adopt AI-powered development tools and workflows
Guide the organization in effectively leveraging AI tools
Contribute to hiring efforts
Create an environment where engineers can do their best work
Build a team with a focus on developer experience
and platform thinking
and support a team of engineers
Foster a culture of ownership
Act as a force multiplier by improving team processes
Encourage experimentation with AI-assisted development practices
Drive execution practices
including sprint planning
and stakeholder communication
Continuously improve the speed and safety of the software delivery lifecycle
Ensure team operates effectively in a fast-paced
ambiguous environment
Reduce cognitive load for engineers
Own and improve the end-to-end developer experience
Identify and eliminate friction in the developer journey
Introduce tools and systems that accelerate development velocity
Lead the adoption of AI-assisted development workflows
How You'll Work.
Team & Collaboration
Partner closely with senior leadership; Partner with product engineering, security, and other stakeholders; Collaborate across teams and functions, including security as a key partner; Collaborate with engineering teams to ensure AI tools are effectively integrated
Communication Scope
Communication skills and ability to collaborate across teams and functions; Stakeholder communication
Process & Methodology
Execution-focused leadership, Translate strategic priorities into execution, Scope work, Prioritize effectively, Deliver results, Drive execution, Drive measurable improvements, Execution practices, Sprint planning, Prioritization
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