Engineering Manager

CAI Software’s Discrete Manufacturing Business Unit is seeking an Engineering Manager to lead the engineering team responsible for our EDI Products portfolio (iCARaS, iR*EDI, and iSC). This role owns delivery execution for the team, partners closely with Product Management to translate roadmap priorities into shippable increments, and champions AI-led development practices to accelerate quality and throughput. The Engineering Manager is a people leader and a hands-on technical leader who removes blockers, coaches engineers, and ensures predictable, high-quality delivery.

• →Own end-to-end delivery for the EDI Products engineering team, ensuring commitments made to Product Management and Product Owners are met on time and with quality.
• →Partner with Product Managers and Product Owners to translate roadmap items, epics, and backlog priorities into a well-sequenced, achievable engineering plan.
• →Champion AI-led development practices across the team — embedding AI-assisted coding, testing, and documentation tools into day-to-day engineering workflows to improve velocity and code quality.
• →Manage the team’s use of Azure DevOps (ADO) and ADO-Git for work item tracking, sprint/iteration planning, branching strategy, pull requests, and release management.
• →Collaborate with Product Management in Aha! to keep roadmap, initiatives, and feature-level plans aligned with engineering capacity and delivery status.
• →Ensure engineering standards, designs, and decisions are documented and kept current in Confluence for team and cross-functional visibility.
• →Run agile ceremonies (sprint planning, standups, retrospectives, backlog refinement) and drive continuous improvement in team process and delivery predictability.
• →Coach, mentor, and develop engineers; conduct performance reviews, set growth goals, and support career development within the team.
• →Manage team capacity, staffing needs, and hiring in partnership with the VP of Engineering.
• →Identify technical risks, dependencies, and quality issues early, and drive mitigation plans in collaboration with engineering and product stakeholders.
• →Report delivery status, risks, and metrics to the VP of Engineering and other stakeholders on a regular cadence.
• →Support and enforce secure, compliant engineering practices appropriate to EDI and manufacturing data integration workloads.

This role requires active leadership in adopting AI-assisted engineering practices as a core part of how the team builds and ships software, including:

• Guiding engineers in the effective use of AI coding assistants for implementation, code review, refactoring, and test generation.
• Establishing team norms and guardrails for responsible, secure use of AI tools with proprietary and customer-related code and data.
• Measuring and reporting the impact of AI-led development on delivery speed and quality, and continuously refining the approach.
• Staying current on AI-assisted software development practices and evaluating new tools/approaches for team adoption.

• Azure DevOps (ADO) and ADO-Git
• Aha! (Product roadmap and planning alignment)
• Confluence (Engineering documentation and knowledge sharing)
• AI-assisted development tooling as adopted by the organization

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 10+ years of software engineering experience, including 2+ years in an engineering management or team lead role.
• Proven experience managing software delivery using Azure DevOps (ADO) work items, boards, and ADO-Git repositories/pull requests.
• Experience partnering directly with Product Managers and/or Product Owners to plan and prioritize engineering work.
• Hands-on familiarity with AI-assisted development tools and a demonstrated interest in applying them to improve team output.
• Strong people-leadership skills: coaching, performance management, and building a high-trust, high-accountability engineering culture.
• Excellent written and verbal communication skills, with the ability to translate technical topics for non-technical stakeholders.

• Experience with EDI, B2B integration, or manufacturing/supply-chain software domains.
• Experience modernizing legacy systems or leading teams through technology migrations.
• Background in .NET, middleware/integration platforms, or ISAM/relational data systems.

• Predictable, high-quality delivery against roadmap commitments made with Product Management.
• Measurable adoption and impact of AI-led development practices within the team.
• A well-documented, well-governed engineering process in ADO, Aha!, and Confluence that stakeholders trust.
• An engaged, growing engineering team with clear goals and strong retention.

CAI Software’s Discrete Manufacturing Business Unit delivers EDI and B2B integration products — including iCARaS, iR*EDI, and iSC — that help automotive and discrete manufacturers manage trading-partner communications, demand signals, shipping and labeling compliance, and supplier collaboration. The team is investing in modernizing its technology stack and adopting AI-led development to accelerate delivery while maintaining the reliability our customers depend on.