Software Engineering Manager (Developer Experience)
ClickUp
United States Posted October 3, 2026
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Salary Range
$220,000 - $270,000
Job Description
Join ClickUp as a Software Engineering Manager focused on Developer Experience. In this role, you will lead a high-impact team dedicated to improving developer workflows, reducing friction, and enhancing the overall engineering experience. You will oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, while ensuring scalability, reliability, and security. Additionally, you will build and mentor a team of engineers, collaborate with cross-functional teams, define and track key metrics, and drive the adoption of AI coding tools.
- Lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience.
- Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents.
- Build, mentor, and lead a team of engineers focused on developer productivity, fostering a culture of collaboration, innovation, and accountability.
- Technical Expertise: Strong understanding of developer tools, CI/CD pipelines, and modern software development practices. Hands-on experience with AI coding tools (Cursor, Claude Code, Codex, or similar) and an understanding of how to integrate them into engineering workflows
- Collaboration: Exceptional communication and stakeholder management skills. Ability to translate AI capabilities and limitations to non-technical audiences
- Builder Mindset: Comfortable with the 80/20 model (planning and review vs. direct execution). Experience orchestrating work across humans and AI agents, with strong judgment on when to delegate to AI vs. when human decision-making is critical
- Problem-Solving: Track record of identifying inefficiencies and implementing scalable solutions, including building or adopting AI-powered tooling and eval frameworks
- Governance Awareness: Understanding of AI & non-AI related risks (security, correctness, licensing, data handling) and experience establishing quality standards for outputs
- Mindset: Passion for improving developer experiences and driving organizational impact through AI-native practices with a customer first mentality
- AI Fluency: Demonstrated ability to operate at the AI Augmented level or above: you personally use AI tools daily and have coached others on effective AI-assisted development. Familiar with prompt engineering, context engineering, and token economics
- Leadership Skills: Proven ability to build and lead high-performing teams. Experience assessing and developing AI fluency across a team
- Experience: 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams
Required Skills
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