Engineering Manager, Enablement
New
Based in the United StatesFull-TimeManager
Salary$200,000 – $225,000 annually
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Job Details
- Experience
- 8+ years
- Required Skills
- Software EngineeringPrompt Engineering
Requirements
- 8+ years of software engineering experience, ideally with exposure to platform engineering, developer tooling, or internal infrastructure
- Proven experience building AI-assisted engineering systems, including LLM integrations, prompt engineering, and evaluation frameworks
- Strong background in designing and scaling automation pipelines that eliminate manual engineering effort
- Deep understanding of software development lifecycle bottlenecks and engineering productivity challenges
- Experience in technical leadership roles with cross-functional influence across engineering teams
- Familiarity with modern AI development tools such as GitHub Copilot, Cursor, Claude, or similar platforms
- Experience enabling safe code contributions from non-engineers is a strong plus
- Strong analytical mindset with the ability to define, track, and optimize engineering performance metrics
- Excellent communication and leadership skills with a collaborative, hands-on approach
- Strong ownership mentality, comfort with ambiguity, and passion for building scalable internal systems
Responsibilities
- Build and lead a high-impact Engineering Enablement team focused on accelerating engineering velocity across the organization
- Design and operate AI-powered engineering workflows, including AI pairing systems that enhance developer productivity
- Develop automated ticket generation pipelines that translate product and operational signals into actionable engineering work
- Own and scale non-engineer contribution frameworks, enabling safe and structured code contributions from cross-functional teams
- Establish engineering standards, guardrails, and best practices for AI-assisted development and internal tooling usage
- Build and evolve internal developer tooling and infrastructure that reduces friction across development, testing, and deployment workflows
- Measure and analyze the impact of enablement initiatives, using data to continuously improve velocity and engineering efficiency
- Partner closely with engineering leadership and program management to align enablement efforts with organizational goals
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