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Docker, Inc · 3 weeks ago

Senior Manager, Engineering, AI Developer Tools

United States

Full-time

Remote

Senior Level

$227K/yr - $318K/yr

5+ years exp

Docker is a leading platform for app development, making it easier for developers to focus on their core tasks. The Senior Manager of Engineering will lead a new AI Developer Tools team to create innovative AI-powered tools that enhance developer productivity and streamline operations across the organization.

Developer PlatformDeveloper ToolsInformation TechnologySoftware

Comp. & Benefits

No H1B

Responsibilities

Build and Scale the AI Developer Tools Team: Hire, onboard, and develop a high-performing engineering team from the ground up with expertise in AI/LLM integration, platform engineering, and developer experience; establish team culture, technical standards, and operating norms

Ship AI-Powered Developer Tools: Deliver production-ready AI agents for developer productivity (automated PR reviews, code generation, documentation), observability insights (anomaly detection, root cause analysis), and operational automation (deployment pre-reviews and failure investigations, incident response assistance)

Build Self-Service AI Developer Tools Platform: Create and operate the foundational infrastructure that enables teams across Docker to build, deploy, host, and scale their own AI developer tools including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, cost management, and operational tooling

Drive Platform Adoption and Developer Experience: Establish the AI Developer Tools platform as the default path for teams building AI-powered tooling; deliver self-service capabilities, comprehensive documentation, templates, and best practices that reduce time-to-production from weeks to days

Partner on AI Strategy and Technology: Work closely with engineering leadership and Agent Dev technical leadership to align on AI technology choices, architectural patterns, and integration strategies; stay current on LLM advancements and developer tooling trends

Explore Productization Opportunities: As internal AI developer tools demonstrate value, partner with product management and go-to-market teams to evaluate commercial viability; prototype, validate, and transition successful internal tools into customer-facing product offerings

Deliver Measurable Impact: Define and track success metrics for both AI developer tools (adoption rates, productivity gains, time saved) and platform capabilities (time-to-deploy new tools, number of teams using platform, operational efficiency)

Cross-Functional Collaboration: Partner with product engineering teams (Hub, Registry, Cloud/AI, Scout, Accounts & Billing), platform teams (Infrastructure, Security, Data), and product leadership to understand requirements, gather feedback, and align on priorities

Operational Excellence: Ensure reliability, security, and performance of AI developer tools and the hosting platform; establish SLOs, monitoring, and incident response for production AI systems serving internal developers

Team Development and Culture: Mentor and grow engineers on your team; foster a culture of experimentation, rapid prototyping, and learning; attract diverse talent excited about AI and developer experience

Qualification

AI/ML technologiesPlatform engineeringDeveloper toolsCloud-native infrastructureKubernetesGitOpsInfrastructure-as-codeProduct mindsetTeam developmentAutonomous workPassion for developer experienceCommunication skills

Required

5+ years managing high-performing engineering teams, with demonstrated experience hiring, developing, and retaining diverse technical talent; experience building teams from scratch highly valued

5+ years as a software developer with hands-on experience building developer tools, platform engineering systems, DevOps, or SRE infrastructure

Strong understanding of AI/ML technologies, LLM integration patterns, and practical applications of AI in developer workflows

Track record of building platforms or internal tools that enable other teams and measurably improve developer productivity

Deep technical knowledge of modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines

Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and cloud platforms (AWS, GCP, Azure)

Product mindset with ability to envision how internal tools can become commercial offerings

Strong verbal and written communication skills with ability to influence cross-functional stakeholders, evangelize platform adoption, and partner with product and go-to-market teams

Comfortable with autonomous work, ambiguity, and building in uncharted territory; proven ability to define roadmaps and priorities from first principles

Passion for developer experience, AI innovation, and creating leverage through platform thinking