Manager, Software Engineering - Developer Experince

ClickUp; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

ClickUp is seeking an Engineering Manager - Developer Productivity to lead a high-impact team improving developer workflows and the overall engineering experience.

You’ll partner with engineering, product, and design to identify bottlenecks, implement scalable tooling, and drive AI fluency across the org as part of our hiring process. The role emphasizes collaboration, mentorship, and measurable productivity gains.

Qualifications

• Leads a high-impact team focused on developer productivity.
• Partner with engineering, product, and design to remove bottlenecks.
• Advocates AI fluency in hiring and team development.

Responsibilities

• Oversee CI/CD pipelines, build systems, and internal tools including AI tooling.
• Lead a team of engineers, mentor, set goals, and drive performance.
• Collaborate with stakeholders and write docs to improve AI-enabled workflows.
• Define metrics to measure productivity and AI adoption, and iterate processes.
• Drive adoption of AI coding tools as standard across teams.

Skills

Team Leadership

CI/CD

AI Tools

Developer Productivity

Mentoring

Cross-functional Collaboration

Tools

Git

CI/CD Systems

AI Platforms

Job description

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible.

Role Overview

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

Partner with engineering