Sr Mgr, Software Engrg Mgmt

Responsibilities 1. Leadership and Team Management Lead, mentor, and inspire a talented engineering team, cultivating fluency with AI-assisted development so the team treats AI harnesses as a core part of how they build, not an afterthought. Foster a positive, collaborative environment that encourages innovation, responsible AI adoption, and professional growth. Manage day-to-day activities, set performance goals, and ensure the team meets project deadlines — including throughput expectations that reflect AI-augmented workflows. 2. Project Management Oversee planning, execution, and delivery of software projects within agreed timelines and quality standards. Work closely with project managers, product owners, and stakeholders to ensure clear communication and alignment with business objectives. 3. Technical Expertise Stay ahead of industry trends and emerging technologies — particularly the fast-moving AI developer tooling landscape (coding agents, MCP-based toolchains, agentic workflows) — and guide the team on best practices. Collaborate to solve complex technical challenges and make informed decisions on technology stack, architecture, and where AI meaningfully accelerates delivery. 4. Quality Assurance Ensure robust testing processes that keep quality high even as AI accelerates code generation — with the human review bar rising, not falling. Implement and enforce coding standards, code reviews, and practices that hold AI-generated and human-written code to the same standard. 5. Collaboration and Communication Collaborate with cross-functional teams (product, UX/UI, QA) to ensure seamless integration of components. Communicate effectively with team members, stakeholders, and leadership, providing regular updates on status, challenges, and successes.

Qualifications Bachelor's or Master's in Computer Science, Engineering, or related field. Proven experience (10+ years) in software development, with a track record of successful project delivery. Strong leadership and team management skills. Proficiency in Java languages and technologies. Demonstrated experience leading or working within AI-native / AI-augmented engineering teams — using coding agents and AI developer tooling as part of the daily workflow. Excellent communication and interpersonal skills. Experience with Agile/Scrum methodologies. Ability to thrive in a fast-paced, dynamic environment. Bonus Points for Experience developing eCommerce software Experience building Cloud Native applications Domain-Based Services architecture Java 17+ / Spring knowledge Experience working in a global team setting CPQ (Configure-Price-Quote) space experience, especially in an AI-native development environment

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