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Engineering Manager, Enablement
Build and lead the Engineering Enablement team to develop AI-powered processes and tooling that accelerate engineering velocity across the organization. Requires 8+ years of software engineering experience with expertise in developer tooling, AI workflows, and technical leadership.
200k – 225kUnited StatesEngineering ManagementRemote8+ YOE
About the role
Responsibilities
- Build and lead the Engineering Enablement team: a small, high-leverage team whose output is felt by every engineer in the organization.
- Design, build, and operate the AI pairing pipeline that enables every engineer at Capacity to work with AI as a genuine productivity partner.
- Build the automated ticket generation workflow that converts product and operational signals into sprint-ready tickets with minimal human intervention.
- Own the non-engineer contribution program: formalizing and scaling the process that allows Product Managers, Customer Success engineers, and other technical contributors to safely commit code.
- Establish engineering standards, guardrails, and best practices for AI-assisted development across the organization.
- Build the developer tooling infrastructure that reduces friction in the day-to-day engineering experience from local development to deployment.
- Measure the impact of every Enablement investment in terms of velocity and quality and iterate relentlessly based on what the data shows.
Requirements
- 8+ years of software engineering experience, with a strong background in developer tooling, platform engineering, or internal infrastructure.
- Demonstrated experience building AI-assisted engineering workflows including prompt engineering, LLM integration, and evaluation frameworks for AI-generated output.
- Experience building and operating automation pipelines that reduce manual work at scale.
- Strong understanding of the software development lifecycle and the specific friction points that slow engineering teams down.
- Experience in a technical leadership or staff-level engineering role with cross-team influence.
- Familiarity with modern AI developer tools including Claude, Cursor, GitHub Copilot, and similar platforms.
- Experience building low-risk code contribution workflows for non-engineers is a strong plus.
- Strong data and measurement orientation: able to define success metrics and track them rigorously.
Nice-to-Haves
- Experience building low-risk code contribution workflows for non-engineers.
Compensation & Benefits
- Expected base salary: $200,000 - $225,000.
- Employer-paid health insurance (for you and your eligible dependents).
- Profit Interest Units/incentive compensation.
- Unlimited vacation policy.
- 401(k) with a company match.
- Short term disability insurance.
- Group life AD&D insurance.
Skills
Ai-Assisted Engineering WorkflowsPrompt EngineeringLlm IntegrationDeveloper ToolingPlatform EngineeringAutomation PipelinesGithub CopilotClaudeCursorSoftware Development Lifecycle
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