Sr Manager, Software Engineering

Cox Enterprises; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Cox Enterprises seeks an experienced engineering leader to guide Engineering Enablement across the enterprise. You will shape platform roadmaps, scale AI-enabled workflows, and mentor a distributed team of engineers and contractors to improve developer productivity and delivery speed.

The ideal candidate combines deep platform engineering judgment with hands-on experience in AI-assisted development tools, and can translate ambiguous needs into a clear, actionable strategy aligned with enterprise

Qualifications

• Bachelor’s degree in Computer Science with 8+ years in a related field or equivalent combination (e.g., master's degree with 6+ years).
• Proven track record building or scaling internal developer platforms and engineering enablement capabilities.
• Experience leading distributed teams of engineers and contractors across multiple locations.

Responsibilities

• Lead cross-functional engineering teams responsible for Engineering Enablement platforms and services.
• Drive strategic vision and execution of engineering enablement initiatives for enterprise software delivery.
• Oversee AI-powered capabilities, tools, and workflows across engineering teams (AI coding assistants, agentic tools, AI-driven platform services).
• Ensure platform scalability, reliability, and alignment with enterprise standards including AI tooling integrations.
• Collaborate with technology, product, and engineering leaders to improve developer experience and accelerate delivery outcomes.
• Develop and mentor engineering talent across a distributed organization of FTEs and contractors.

Skills

Platform engineering

AI-enabled development

Cross-functional leadership

Stakeholder management

Distributed teams

Education

Bachelor’s degree in Computer Science

Job description

Giving the increasing importance of AI-enabled development practices and platform standardization, we are seeking an experienced engineering leader with a strong background in software engineering, platform technologies, and AI application enablement.

This leader will ensure continuity of strategy and execution while continuing to evolve Engineering Enablement capabilities that serve teams across the enterprise. You'll lead a distributed team of engineers and contractors while shaping the roadmap for the platforms, tools, and AI-powered workflows that make engineering teams across the company faster, more consistent, and more effective.

The ideal candidate combines strong platform engineering judgment with hands-on familiarity with AI-assisted development tools and workflows, and is energized by scaling capabilities that multiply the effectiveness of every engineering team that depends on them.

What You'll Do:

• Lead cross-functional engineering teams responsible for Engineering Enablement platforms and services.
• Drive strategic vision and execution of engineering enablement initiatives supporting enterprise software delivery.
• Oversee the integration and adoption of AI-powered capabilities, tools, and workflows across engineering teams — including AI-assisted coding, agentic development tools, and AI-driven platform services.
• Ensure platform scalability, reliability, and operational excellence, and alignment with enterprise standards, including for AI-enabled tooling and integrations.
• Collaborate with technology, product, and engineering leaders to improve developer experience and accelerate delivery outcomes.
• Develop and mentor engineering talent, leading a distributed organization of full-time employees and contractors.
• Shape the future of engineering leadership and software delivery practices in an increasingly AI-driven environment, staying ahead of emerging AI tooling and helping the organization adopt it responsibly.
• Define and track success metrics for platform adoption, developer productivity, and AI tooling impact, and report progress to leadership.
• Champion best practices and enablement content — documentation, training, and internal advocacy — to drive adoption of both core platform capabilities and AI-enabled workflows.

Who You Are:

• 6+ years of experience in software engineering, platform engineering, or technical program management, including 2+ years directly managing engineering teams.
• Strong background in software engineering and platform technologies, with demonstrated experience building or scaling internal developer platforms.
• Hands-on familiarity with AI-enabled development practices — e.g., AI coding assistants, agentic development tools, or AI-driven platform/workflow automation — and a point of view on how to bring them safely and effectively into an engineering organization.
• Track record of translating ambiguous business and technology needs into a clear strategic roadmap.
• Excellent stakeholder management skills — able to work effectively across technology, product, and engineering leadership.
• Experience leading distributed teams that include both full-time employees and contractors.
• Bachelor’s degree in Computer Science and 8 years’ experience in a related field. The right candidate could also have a different combination, such as a master's degree and 6 years’ experience; a Ph.D. and 3 years’ experience in a related field; or 20 years’ experience in a related field.

Preferred:

• Experience in a large, matrixed enterprise organization with multiple internal stakeholder groups.
• Direct experience evaluating, piloting, or rolling out AI application enablement tools (e.g., AI coding assistants, LLM-powered internal tools, MCP/agent integrations) at scale.
• Familiarity with developer experience (DevEx) metrics and platform reliability/operational practices (SRE, observability, CI/CD).
• Background in change management or driving adoption of new engineering tools and practices across a large developer base.
  

What Success Looks Like

• Continuity and evolution of Engineering Enablement's strategy, with a clear roadmap that incorporates AI-powered capabilities alongside core platform priorities.
• Measurable increase in adoption of AI-enabled development tools and workflows across engineering teams, with clear guardrails and enterprise standards in place.
• Platform reliability, scalability, and operational excellence sustained or improved through the transition.
• A well-mentored, engaged distributed team (FTE + contractors) with clear growth plans.
• Strong, trusted relationships with technology, product, and engineering leadership.

Why Join Us

• Lead a high-visibility function at the center of how the enterprise builds software — and how AI reshapes that process.
• Real influence over roadmap, strategy, and the adoption of emerging AI development practices.
• A blend of technical/platform leadership and people management, with strong executive visibility into impact.