Director of Software Engineering & AI

Insight Global; Atlanta (GA); In loco; USD 200.000 - 220.000; Tempo pieno

Descrizione del lavoro

Insight Global is seeking a Director of Software Engineering to lead delivery for an AI-first enterprise software group in Atlanta. You will hand-pick an engineering team, shape the development model, and drive AI integration across the product lifecycle.

You will stay hands-on through architecture reviews, customer interactions, and technical decision making while guiding a ~12-person team in four agile pods. This is a high-visibility leadership role.

Competenze

• Proven experience leading software engineering teams while remaining technically hands-on.
• Experience architecting and delivering enterprise applications.
• Experience introducing AI into an engineering organization, product, or lifecycle.
• Strong knowledge of AI-assisted development and modern AI engineering practices.

Mansioni

• Lead engineering and product delivery across a mission-critical enterprise software platform.
• Build and develop an engineering organization of ~12 engineers organized into four agile pods.
• Establish an AI-first engineering approach across development lifecycle.
• Partner with Product Management to define what gets built and why it matters.
• Remain technically engaged through architecture decisions and reviews.
• Engage with customers to translate needs into priorities.
• Own engineering execution from Definition of Ready to GA.
• Help architect scalable, cloud-based applications and set engineering standards.
• Evaluate AI agents and assistants within the product experience.
• Manage budgets, priorities, team structure, delivery expectations, and strategy.

Conoscenze

Team leadership

Enterprise app design

AI in development

SDLC mastery

AWS cloud

Product collaboration

Architectural review

Hands-on coding

Stakeholder influence

Strumenti

AWS Cloud

Descrizione del lavoro

Director of Software Engineering, AI-First Product Development

The Opportunity

We are seeking a Director of Software Engineering to lead product delivery across an enterprise software organization entering its next phase of growth. This is a highly visible leadership role focused on building software that has a meaningful real-world impact and helps keep people safe.

This leader will have the opportunity to build and hand-pick an engineering team, shape the development model, and help define how AI is incorporated across both the product and software development lifecycle.

What You'll Do

• Lead engineering and product delivery across a mission-critical enterprise software platform.
• Build and develop an engineering organization of approximately 12 engineers, structured into four agile pods.
• Establish an AI-first engineering approach, including AI-assisted development and an AI-driven development lifecycle (AI-DLC).
• Partner closely with Product Management to define what gets built, why it matters, and what successful delivery looks like for customers.
• Remain technically engaged through architecture discussions, code and output reviews, design decisions, and engineering problem-solving.
• Engage directly with customers to gather feedback and translate real-world needs into product and engineering priorities.
• Own engineering execution across the full software development lifecycle, from Definition of Ready through Definition of Done and general availability.
• Help architect scalable, cloud-based applications and establish strong engineering standards across the organization.
• Evaluate how AI agents and AI assistants can be incorporated into the application and broader product experience.
• Manage engineering budgets, priorities, team structure, delivery expectations, and technical strategy.

What We're Looking For

• Proven experience leading software engineering teams while remaining technically hands-on.
• Strong software engineering background with experience architecting and delivering enterprise applications.
• Experience introducing AI into an engineering organization, product, or software development lifecycle.
• Working knowledge of AI-assisted development, AI agents, and modern AI engineering practices.
• Strong understanding of the full SDLC, including requirements readiness, architecture, development, testing, deployment, and production release.
• Demonstrated experience building, managing, and developing high-performing engineering teams.
• Cloud-native engineering experience, with AWS strongly preferred.
• Experience partnering closely with Product Management and translating customer feedback into engineering priorities.
• Ability to operate strategically while still reviewing technical outputs, challenging architecture, and staying close to the code.
• Natural leadership style with the ability to influence highly technical teams and senior stakeholders

This role can pay between 200,000-220,000 based on background and experience level.