Manager, Software Engineering - Developer Experince

As the Engineering Manager - Developer Productivity, you will lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience. You’ll collaborate across teams to identify bottlenecks, implement scalable solutions, and foster a culture of continuous improvement. Your work will directly influence the speed, quality, and happiness of our engineering organization.

1. Infrastructure & Tooling

• Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents.
• Ensure our developer infrastructure is scalable, reliable, and secure.
• Evaluate and implement new AI-native technologies, considering token economics, compute costs, and AI spend alongside productivity gains.

2. Team Leadership & AI People Development

• Build, mentor, and lead a team of engineers focused on developer productivity.
• Foster a culture of collaboration, innovation, and accountability.
• Set clear goals and provide regular feedback to drive team performance in partnership with your Director.
• Assess each report's AI fluency level (Assisted, Augmented, Native) and set individual growth targets.
• Include AI fluency as a coaching topic in 1:1s; pair less AI-fluent engineers with AI-native peers for knowledge transfer.
• Create space for AI experimentation: dedicated time, safe-to-fail projects, and learning sprints.
• Recognize and reward AI-driven improvements in performance conversations.

3. Collaboration & Communication

• Work closely with engineering, product, and design teams to align priorities.
• Advocate for developer needs and ensure alignment with company goals.
• Communicate capabilities and limitations to non-technical stakeholders.
• Write specs, rules files, and documentation that make AI more effective for the whole team.

4. Metrics & Continuous Improvement

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