ClickUp
ClickUp
ClickUp is a SaaS work management and productivity company developing a unified workspace for projects, documents, chat, time tracking, automations, and AI-powered Super Agents. Its platform is designed to help teams and enterprises coordinate work in one place, simplify complex workflows, connect with existing tools, and reduce reliance on disconnected software. ClickUp also focuses on customizable workflows and agents, alongside enterprise security and compliance capabilities.

Software Engineering Manager, Developer Experience — ClickUp Remote

Lead ClickUp’s developer experience function, improving AI-native productivity, CI/CD, internal tooling, and engineering velocity. Guide team AI fluency and responsible adoption of AI-assisted development across the engineering organization.

Description

  • Lead a high-impact team that improves developer workflows, reduces friction, and strengthens the engineering experience
  • Own CI/CD pipelines, build systems, internal tools, AI-powered tooling, and agent-based development systems
  • Maintain developer infrastructure that is scalable, dependable, and secure
  • Assess and introduce AI-native technologies while weighing token usage, compute costs, AI spending, and productivity gains
  • Recruit, mentor, and manage a developer productivity engineering team
  • Promote collaboration, innovation, and accountability across the team
  • Set objectives and deliver ongoing feedback in partnership with the Director
  • Evaluate team members’ AI fluency and establish individual development goals
  • Develop AI fluency through one-to-ones, peer learning, experimentation, safe-to-fail initiatives, and learning sprints
  • Highlight AI-enabled improvements during performance discussions
  • Partner with engineering, product, and design to coordinate priorities
  • Represent developer needs and explain technical capabilities and constraints to non-technical stakeholders
  • Create specifications, rules files, and documentation that improve AI-assisted work
  • Establish and monitor metrics for developer productivity, satisfaction, AI adoption, and AI-driven gains
  • Use performance data to prioritize initiatives and show measurable impact
  • Refine processes to increase engineering speed and quality
  • Find and resolve software development lifecycle bottlenecks with AI-augmented workflows
  • Increase adoption of AI coding tools such as Cursor, Brain, and copilots
  • Provide access to AI tools, encourage active use, and remove tooling, access, and training obstacles
  • Create AI-augmented development practices that increase team velocity
  • Coach engineers on planning, delegating to agents, applying judgment in reviews, and shipping efficiently
  • Follow AI usage standards for data handling, code review, and intellectual property
  • Escalate security, correctness, and licensing concerns associated with AI-generated code
  • Track the organization’s AI tools and usage
  • Lead retrospectives and feedback cycles focused on AI-related results
  • Review AI-generated work to define consistent quality expectations

Requirements

  • At least seven years of software engineering experience
  • At least three years managing engineering teams
  • Strong knowledge of developer tools, CI/CD pipelines, and current software development practices
  • Practical experience with AI coding tools such as Cursor, Claude Code, Codex, or comparable products
  • Experience incorporating AI coding tools into engineering workflows
  • Demonstrated AI Augmented proficiency or higher, including daily personal use and coaching others in effective AI-assisted development
  • Familiarity with prompt engineering, context engineering, and token economics
  • Experience applying the 80/20 model and coordinating work between people and AI agents
  • Sound judgment about when AI delegation is appropriate and when human decision-making is essential
  • Demonstrated success building and leading high-performing teams
  • Experience evaluating and advancing AI fluency across a team
  • History of finding inefficiencies and delivering scalable solutions, including AI tooling and evaluation frameworks
  • Understanding of AI and non-AI risks involving security, correctness, licensing, and data handling
  • Experience defining quality standards for outputs
  • Exceptional communication and stakeholder management abilities
  • Ability to explain AI capabilities and limitations to non-technical audiences
  • Commitment to improving developer experience and creating organizational impact through AI-native practices
  • Customer-first approach
  • Authorization to work legally in the country of residence
  • Visa sponsorship is not guaranteed and depends on the business needs of the specific role

Benefits

  • Equity
  • 401(k) plan
  • Health, dental, and vision insurance
  • Spending accounts
  • Life and disability coverage
  • Paid parental leave
  • Flexible paid time off
  • Enhanced employee assistance program
  • Employee wellness stipend
  • Professional development stipend
  • Flexible remote work with a global team

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