Engineering Manager

Engineering Manager

Accelerate Performance.

About CAI Software

CAI Software builds purpose-built solutions that help manufacturers, processors, and distributors accelerate performance. Our mission is to enable manufacturers to transform performance through a connected, AI-assisted ecosystem that delivers visibility, control, and continuous improvement. We bring the deep operational expertise and enterprise infrastructure to be a true long-term performance partner.

With 6,200+ active customers worldwide and a market-leading position in every vertical we serve, CAI combines 45+ years of industry expertise with modern AI-driven execution - helping businesses move faster, operate smarter, and perform at their peak. We work across 15+ industries and 10+ countries, guided by three values built into our name: Candor, Accountability, and Impact.

CAI Business Units and the Markets We Serve

CAI Software is organized into three business units: Graphic Communications, Process Manufacturing, and Discrete Manufacturing - aligned to the industries we serve. This structure keeps our teams close to customer needs while operating with the scale and support of a global software company.

CAI India

CAI India is a strategic investment in the company's future. Our Bangalore Center of Excellence is a place of ownership, expertise, and accountability. Teams in India work on global products end to end, contribute to key decisions, and influence how CAI evolves as a business. This is not a support-led model, but rather a center designed to lead through knowledge, responsibility, and trust.

Key Responsibilities

• 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.

AI-Led Development

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.

Tools & Platforms

• 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

Required Qualifications

• 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.

Preferred Qualifications

• 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.

What Success Looks Like

• 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.

Why Join CAI

At CAI, we are building something that matters. With 6,200+ customers across 15+ industries and active investment in AI-driven performance tools, we are positioned to define what the next generation of manufacturing software looks like — and we are building the team to lead that work.

Our four pillars define how we deliver for customers — and how we work:

• Built to Fit - Fits how your business runs so performance comes standard
• Built to Expedite - Speeds time to performance without heavy lifts or delays.
• Built to Deliver - AI turns action and insights into measurable performance.
• Built to Scale - Sustains and scales performance without disruption.