[Remote] Manager, AI-Native Software Engineering

Note: The job is a remote job and is open to candidates in USA. Libra Solutions is a company focused on enhancing legal processes through technical innovation. The Manager, AI-Native Software Engineering will lead a team of engineers to build and maintain software platforms, ensuring high-quality delivery and fostering AI-native capabilities within the team.

Responsibilities

• Manage, mentor, and develop a team of software engineers across all experience levels
• Conduct regular 1:1s, provide timely and constructive feedback, and support each engineer’s professional growth and career development
• Partner with recruiting to grow the team by attracting and hiring engineers aligned with the team’s AI-native technical direction
• Set clear expectations, foster accountability, and build a culture of trust, collaboration, and continuous improvement
• Address performance issues constructively and proactively
• Own the team’s delivery commitments; ensure features, bug fixes, and technical investments are completed on time and meet quality standards
• Participate in sprint planning, backlog refinement, and prioritization discussions with Product and stakeholders
• Remove blockers, manage dependencies, and ensure the team has what it needs to execute effectively
• Monitor and continuously improve team velocity, predictability, and delivery health within the agentic pod model
• Maintain strong technical engagement: participate in architecture discussions, code reviews, and technical planning
• Ensure the team adheres to engineering standards for C# / .NET, API design, database patterns, front-end development, and CI/CD using Azure DevOps
• Identify and address technical debt; champion sustainable engineering practices
• Drive adoption and effective use of AI-assisted development tools (GitHub Copilot, Claude, Azure OpenAI) across the team; ensure engineers are working in an agentic delivery rhythm where AI handles generation at scale and engineers own judgment, quality, and architectural decisions
• Partner with other engineering leaders to define and uphold organizational AI development standards, prompt engineering practices, and AI output review requirements
• Track and evaluate team-level engineering metrics, including sprint velocity and predictability, CI/CD pipeline health, production incidents, defect backlog trends, and system performance data to identify systemic issues and drive continuous improvement
• Use data to communicate engineering health, technical decisions, tradeoffs, and statuses clearly to stakeholders and leadership
• Contribute to engineering-wide initiatives including hiring practices, standards, tooling, and process improvement

Skills

• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent professional experience
• 7+ years of professional software development experience
• 2+ years of people management or team leadership experience
• Strong hands-on background in C# / ASP.NET Core, Entity Framework Core, SQL Server / Azure SQL, and React or Angular
• Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployment practices on Azure
• Experience partnering closely with engineering, product, and business stakeholders in an agile delivery environment
• Demonstrated ability to lead, develop, and retain a high-performing engineering team
• Strong problem-solving, communication, organizational, and coaching skills
• Hands-on familiarity with AI-assisted development tooling (GitHub Copilot, Claude, Azure OpenAI) and a demonstrated commitment to building AI-native engineering practices; able to coach engineers on effective prompt engineering, AI output evaluation, and responsible AI use
• Experience leading teams within agentic or AI-accelerated delivery models, or a clear understanding of how agentic workflows change team rhythms, role expectations, and quality ownership

Benefits

• Medical, dental, vision and life insurance plans
• 401k match
• Paid time off

Company Overview