Engineering Manager, Enablement

Capacity

Engineering Manager responsible for building AI-powered processes and tooling at Capacity. Leading the Engineering Enablement team to accelerate engineering velocity across the organization.

Posted 6/23/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $200,000 - $225,000 per yearWebsite

About the role

Key responsibilities & impact

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, not just an autocomplete.
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

What you’ll need

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.

Benefits

Comp & perks

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
A supportive, diverse workplace where we prioritize respect for each other and our clients
A fun and collaborative team culture

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Hard Skills & Tools

software engineeringdeveloper toolingplatform engineeringAI-assisted engineering workflowsprompt engineeringLLM integrationautomation pipelinessoftware development lifecyclecode contribution workflowsdata measurement

Soft Skills

technical leadershipcross-team influencecommunicationorganizational skillsproblem-solving