Engineering Manager, Enablement

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $200k - $225k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

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Capacity

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1999

🛍️ eCommerce

🤝 B2B

🚗 Transport

eCommerce • B2B • Transport

Capacity is a third-party logistics (3PL) and fulfillment company that provides nationwide U. S. and UK warehousing, order fulfillment, and value-added services for eCommerce, DTC, and retail brands. The company emphasizes smooth onboarding, integrated technology and data to power decisions, and tailored operations (including hazmat handling and retail/node selection) to protect brand experience and support growth. Capacity partners with consumer-facing brands across beauty, wellness, apparel, electronics, and CPG to deliver fast, cost-effective distribution and omnichannel fulfillment.

📋 Description

• 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

• 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

• 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