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Job Description
The Manager, Software Engineering is responsible for leading and developing high-performing engineering teams that design, build, and deliver scalable, high-quality software solutions. This role combines strong people leadership with technical direction, ensuring teams consistently deliver business value while maintaining engineering excellence.
In addition, this role drives adoption of AI-transformed development practices and specification-driven engineering, enabling faster, higher-quality, and more predictable delivery outcomes.
What You'll Do
Team Leadership & Delivery
- Lead, grow, and mentor a team of software engineers, fostering a culture of accountability, collaboration, and continuous improvement.
- Oversee the planning, design, development, and delivery of software products and services.
- Ensure delivery of secure, scalable, and well-tested software aligned with business and customer needs.
- Partner with Product, Architecture, and Business stakeholders to translate requirements into technical solutions.
Engineering Excellence
- Establish and enforce engineering best practices, including testing, automation, observability, and reliability.
- Drive continuous improvement across development processes, including Agile practices and DevOps principles.
- Promote high standards of code quality, architecture, and system design.
AI-Transformed Development
- Champion adoption of AI-assisted development tools (e.g., Copilot, Claude) for coding, testing, and documentation.
- Define best practices for safe, secure, and effective AI usage within the SDLC.
- Enable teams to evaluate and validate AI-generated outputs for correctness, security, and maintainability.
- Drive productivity improvements through AI-enabled automation and developer workflows.
Spec-Driven Development
- Establish and scale spec-driven development (SDD) practices across teams.
- Ensure clear, structured specifications define requirements, architecture, and acceptance criteria before implementation.
- Promote specification-first workflows where specs serve as the authoritative input for development and AI-assisted execution.
- Align engineering, product, and UX teams around shared specifications to improve clarity and reduce rework.
Strategy & Collaboration
- Contribute to technical strategy and roadmap planning.
- Represent engineering in cross-functional planning and strategy discussions.
- Use metrics to guide data-driven decisions and continuous improvement.
Talent Management