Manager, Application Software Engineering

About the role

We are seeking an Engineering Manager to lead up to nine engineers to support internal business tools and product-led growth initiatives. The team develops and supports SuiteSuccessValue.com applications, including CPQ and Customer AI, and customer-facing experiences such as NetSuite Test Drive and the NetSuite Store. You will combine people leadership, engineering execution, and technical transformation to improve delivery, strengthen software quality, and build the team's capabilities in AI-assisted development.

Responsibilities

• Lead and develop the team - Manage, coach, and develop engineers, setting clear expectations for performance, ownership, collaboration, and technical growth. Provide regular feedback, career guidance, and performance management while building a culture of accountability and continuous learning. Assess staffing and skills needs, align assignments with development goals, and ensure effective onboarding and knowledge sharing.
• Own engineering delivery and application support - Lead development, maintenance, and operational support for SuiteSuccessValue.com tools, including CPQ and Customer AI. Support product-led growth initiatives, including NetSuite Test Drive and the NetSuite Store. Partner with product management, business stakeholders, and engineering leaders to turn priorities into achievable plans. Balance new development, support, defects, and technical debt within team capacity while ensuring quality, reliability, security, and maintainability.
• Strengthen Jira practices and delivery discipline - Own Jira and software development lifecycle practices, keeping projects, tickets, priorities, and delivery status current. Establish clear expectations for ticket readiness, ownership, acceptance criteria, workflow transitions, and completion. Monitor development, review, testing, and release activities; resolve bottlenecks and impediments. Incorporate capacity, support demands, dependencies, and effort into commitments, using delivery and quality measures to improve predictability.
• Build AI-assisted engineering capabilities - Lead training and adoption of Codex and other AI-assisted coding tools across development, testing, debugging, documentation, and code review. Establish practices that maintain code quality, security, and engineer accountability. Measure improvements in productivity, quality, and delivery, and share effective practices across the team.

Qualifications

• 10+ years of software development experience with Java, JavaScript, or related back-end technologies, including server-side applications, RESTful APIs, and enterprise integrations.
• 5+ years of enterprise application development and solution architecture experience, including relational databases, data modeling, and scalable service design.
• Demonstrated success leading back-end engineers in delivering and supporting production enterprise applications.
• Strong technical judgment and understanding of code reviews, automated testing, version control, continuous integration, release management, and application security.
• Experience with Jira workflows, backlog management, capacity planning, and software development lifecycle practices.
• Ability to guide teams through changes in technology and engineering practices, including responsible adoption of AI-assisted development tools.
• Strong communication skills, with the ability to explain priorities, tradeoffs, risks, and commitments to senior management and cross-functional stakeholders.