软件工程经理 - 开发者体验
Manager, Software Engineering - Developer Experince
在 ClickUp，我们正在打造未来的工作方式：首个真正融合 AI 的工作空间，将任务、文档、聊天、日历和企业搜索统一起来，所有功能都由以情境为中心的 AI 提升。我们是一家以 AI 为核心的企业。每位团队成员都被期望每天使用 AI，并且我们在招聘过程中会评估 AI 熟练程度。加入我们，一起重新定义可能性。🚀
职位概述
作为工程经理 - 开发者生产力，您将领导一个高影响力团队，专注于改进开发者流程，减少摩擦，并提升整体工程体验。您将跨团队协作，识别瓶颈，实施可扩展的解决方案，并培养持续改进的文化。您的工作将直接影响我们工程组织的速度、质量和幸福感。
职责：
1. 基础设施与工具
- 负责 CI/CD 流水线、构建系统和内部工具的开发与维护，包括基于 AI 的内部工具和代理。
- 确保我们的开发者基础设施具备可扩展性、可靠性和安全性。
- 评估并实施新的 AI 原生技术，同时考虑令牌经济、计算成本和 AI 支出与生产力提升之间的平衡。
2. 团队领导与 AI 人才发展
- 组建、指导并带领一支专注于开发者生产力的工程师团队。
- 培养协作、创新和问责的文化。
- 与您的总监合作，设定明确目标并提供定期反馈，以推动团队表现。
- 评估每位下属的 AI 熟练程度（辅助型、增强型、原生型），并设定个人成长目标。
- 在 1:1 会议中将 AI 熟练度作为辅导主题；为 AI 熟练度较低的工程师安排与 AI 原生型同事结对，进行知识传递。
- 创造 AI 实验的空间：预留时间、安全失败的项目和学习冲刺。
- 在绩效对话中认可和奖励由 AI 驱动的改进。
3. 协作与沟通
- 与工程、产品和设计团队紧密合作，对齐优先级。
- 代表开发者需求，确保与公司目标一致。
- 向非技术人员传达能力与限制。
- 编写规范、规则文件和文档，使整个团队更有效地使用 AI。
4. 指标与持续改进
- 定义并跟踪关键指标
查看英文原文
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:
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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:
- Experience: 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams.
- 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.
- 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.
- 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.
- Leadership Skills: Proven ability to build and lead high-performing teams. Experience assessing and developing AI fluency across a team.
- 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.
- Collaboration: Exceptional communication and stakeholder management skills. Ability to translate AI capabilities and limitations to non-technical audiences.
- Mindset: Passion for improving developer experiences and driving organizational impact through AI-native practices with a customer first mentality.
WHY JOIN US?
- Impactful Work: Shape the future of developer productivity at a fast-growing, AI-native SaaS company.
- AI-Native Culture: Work in an organization that treats AI as a core competency, not a nice-to-have, with industry-leading investment in AI tooling, agents, and engineering workflows.
- Builder Operating Model: Join a team that's redefining how software gets built: orchestrating AI agents, shipping with compound engineering, and measuring what matters.
- Growth Opportunities: Advance your career on a clear AI-native career pathway with structured fluency levels and development support.
- Flexible Environment: Enjoy the freedom of remote work with a global team.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
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ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.