Manager, Software Engineering - Developer Experience
ClickUp · USA
About this role
**ClickUp — Engineering Manager, Developer Experience (Developer Productivity)** At ClickUp, we’re building the future of work: a converged AI workspace that unifies tasks, docs, chat, calendar, and enterprise search—supercharged by context-driven AI. We’re an AI-native company, and every team member is expected to leverage AI daily. --- ## Role Overview As the **Engineering Manager — Developer Productivity**, you’ll 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 drive continuous improvement—directly influencing the speed, quality, and happiness of our engineering organization. --- ## Responsibilities ### Infrastructure & Tooling - Oversee development and maintenance of **CI/CD pipelines**, **build systems**, and **internal tools** (including AI-powered tooling and agents) - Ensure 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 engineers focused on **developer productivity** - Foster a culture of **collaboration, innovation, and accountability** - Set clear goals and provide regular feedback in partnership with your Director - Assess each report’s **AI fluency** (Assisted, Augmented, Native) and set growth targets - Include AI fluency in **1:1s** and pair less AI-fluent engineers with AI-native peers for knowledge transfer - Create space for **AI experimentation** (dedicated time, safe-to-fail projects, learning sprints) - Recognize and reward **AI-driven improvements** in performance conversations ### Collaboration & Communication - Partner with engineering, product, and design to align priorities - Advocate for developer needs and ensure alignment with company goals - Communicate AI capabilities/limitations to non-technical stakeholders - Write specs, rules files, and documentation to make AI more effective for the whole team ### Metrics & Continuous Improvement - Define and track metrics for **developer productivity**, **satisfaction**, and **AI-driven productivity gains** - Use data to prioritize initiatives and demonstrate impact - Track AI adoption metrics and report on AI-augmented workflow effectiveness - Iterate on processes to improve engineering velocity and quality ### AI-Native Developer Experience - Identify and eliminate pain points across the development lifecycle (with focus on AI-augmented workflows) - Drive adoption of AI coding tools (e.g., **Cursor, Brain, copilots**) as the default across engineering teams - Ensure every team member has access to and actively uses AI tools; track adoption and remove blockers (tooling, access, training) - 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) - Proactively flag risks from AI-generated code (security, correctness, licensing) - Maintain visibility into which AI tools are used and how - Run retros and feedback loops on AI-related outcomes - Review AI-generated outputs with the team to build
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