Software Engineering Manager (AI-Enabled)

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc.

(NYSE: ROP) is seeking an AI Enabled Engineering Manager to join our team, hybrid in Atlanta, GA.

Job Summary

The Engineering Manager will lead cross-functional SaaS engineering teams and serve as a transformational leader in how IntelliTrans designs, builds, and delivers software.

This role owns the full software development lifecycle (SDLC) across multiple delivery teams and is accountable for Agile execution, engineering quality, release velocity, and team development.

The ideal candidate is an entrepreneurial engineering leader who has moved from hands-on development into management and brings a modern perspective on AI-driven development, including active use of AI-assisted coding tools such as Claude Code, GitHub Copilot, or similar.

The position partners closely with the CTO, Chief Architect, and product leadership to align engineering execution with company strategy and customer outcome

Essential Duties and Responsibilities

Essential Duties and Responsibilities include the following.

Other duties may be assigned.

Engineering Leadership & Delivery


* Lead and develop multiple software engineering teams across the full SDLC, from planning through deployment and continuous improvement


* Drive Agile/Scrum delivery, sprint cadence, team accountability, and engineering best practices across all squads


* Own program-level delivery planning and cross-team coordination using SAFe, Scrum, or comparable Lean or Agile frameworks


* Establish and enforce engineering standards, coding practices, code review culture, and quality gates


* Set and track key delivery metrics (cycle time, deployment frequency, defect escape rate, lead time) and drive continuous improvement


* Oversee release planning, version management, and coordinated deployment across environments

AI-Driven Development & SDLC Transformation


* Champion the adoption of AI-driven (not just AI-assisted) development workflows, including AI code generation, AI-augmented testing, and AI-driven code review


* Drive hands-on enablement of AI coding tools (Claude Code, GitHub Copilot, Cursor, or similar) across engineering teams


* Lead transformation of the SDLC to incorporate AI at every stage: requirements, design, implementation, testing, and operations


* Evaluate, pilot, and scale emerging AI development tooling to improve team productivity and code quality


* Build a culture of responsible AI use, including code review practices for AI-generated output, prompt engineering literacy, continuous learning, innovation, risk mitigation, and ROI management

People Leadership & Culture


* Recruit, mentor, and develop engineering talent, building a high-performing, collaborative, and psychologically safe team culture


* Conduct regular 1:1s, performance reviews, and growth planning conversations with direct reports and team leads


* Foster an entrepreneurial mindset with...