[Hiring] Manager, Software Engineering - Developer Experience @ClickUp

Role Description

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.

Responsibilities

• 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.
• 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.
• 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.
• Metrics & Continuous Improvement:
  • Define and track key metrics to measure developer productivity, satisfaction, and AI-driven productivity gains.
  • Use data-driven insights to prioritize initiatives and demonstrate impact.
  • Track team-level AI adoption metrics and report on AI-augmented workflow effectiveness.
  • Continuously iterate on processes to improve engineering velocity and quality.
• AI-Native Developer Experience:
  • Identify and eliminate pain points in the development lifecycle, with a focus on AI-augmented workflows.
  • Drive adoption of AI coding tools (Cursor, Brain, copilots) as the default across engineering teams.
  • Ensure every team member has access to and is actively using AI tools; track adoption and remove blockers (tooling, access, training).
  • Partner with engineering teams to design AI-augmented development workflows that multiply team velocity.
  • Coach engineers on the Builder model: planning, delegating to agents, reviewing with judgment, and shipping with velocity.
• AI Governance & Risk:
  • Ensure the team follows AI usage guidelines (data handling, code review, IP considerations).
  • Flag risks from AI-generated code (security, correctness, licensing) proactively.
  • Maintain visibility into what AI tools the team is using and how they're being used.
  • Run regular retros and feedback loops on AI-related outcomes.
  • Review AI-generated outputs alongside the team to build shared quality standards.

Qualifications

• 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams.
• 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.
• Demonstrated ability to operate at the AI Augmented level or above.
• Comfortable with the 80/20 model (planning and review vs. direct execution).
• Proven ability to build and lead high-performing teams.
• Track record of identifying inefficiencies and implementing scalable solutions.
• Understanding of AI & non-AI related risks (security, correctness, licensing, data handling).
• Exceptional communication and stakeholder management skills.
• Passion for improving developer experiences and driving organizational impact through AI-native practices.

Benefits

• Shape the future of developer productivity at a fast-growing, AI-native SaaS company.
• Work in an organization that treats AI as a core competency.
• Join a team that's redefining how software gets built.
• Advance your career on a clear AI-native career pathway with structured fluency levels and development support.
• Enjoy the freedom of remote work with a global team.