Engineering Manager
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.
ClickUp is looking for an experienced Engineering Manager to lead our fullstack team responsible for building and scaling our flagship products. As the leader of the team that owns the APIs and core experiences powering ClickUp, you will play a pivotal role in shaping the future of our platform. You will guide engineers working across the stack, from frontend experiences to backend infrastructure. Your focus will be on driving the development of new features, addressing performance and reliability challenges, and ensuring operational excellence as we continue to grow. This is an opportunity to make a significant impact on our core product while fostering a culture of technical excellence and collaboration.
The Role:
Technical Leadership: Provide hands-on technical guidance to the team, ensuring best practices in software development, architecture, and design.
Team Management: Lead, mentor, and grow a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement.
Product Development: Drive the development of new features and enhancements, ensuring high performance, scalability, and reliability.
Collaboration: Work closely with product managers, designers, and other engineering teams to align on goals, prioritize initiatives, and deliver exceptional user experiences.
Code Quality: Oversee code reviews, ensure adherence to coding standards, and advocate for clean, maintainable, and testable code.
Innovation: Stay up-to-date with the latest trends and technologies in collaborative editing, cloud infrastructure, and web development, and apply them to improve our product.
Operational Excellence: Ensure the stability and performance of the Tasks platform, proactively addressing technical debt and optimizing system architecture.
Qualifications:
Technical Expertise:
Proficiency in modern programming language (Node.js preferred), relational databases, and at least one modern frontend framework.
Experience with AWS cloud services and infrastructure.
Leadership Experience:
Proven track record of managing and scaling engineering teams.
Strong ability to mentor and develop technical talent.
Problem-Solving Skills:
Ability to tackle complex technical challenges and make data-driven decisions.
Communication:
Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
Education & Experience:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
7+ years of software engineering experience, with at least 2 years in a leadership role.
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.
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If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice 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 email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to [email protected].
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 [email protected].