Director, Technical Support
Clickup
| Company | Clickup |
| Category | Customer Support |
| Location | United States |
| Remote | Remote |
| Employment | Not stated |
| Level | Director |
| Salary | USD 180k–215k |
| Posted | 20 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
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. 🚀
About Us:
At ClickUp, we're on a mission to make the world more productive. Our platform simplifies work and collaboration for teams of all sizes. As we continue to scale, we're looking for a proven technical support leader to own and elevate the entire technical support experience, ensuring our customers receive expert, efficient resolution to their most complex challenges.
Role Overview:
The Director of Technical Support will take total ownership of ClickUp's technical support function, including strategy, team performance, tooling, and customer outcomes. This is a hands-on leadership role for someone who thrives at the intersection of deep technical problem-solving, cross-functional partnership with Product and Engineering, and operational excellence powered by AI. You'll define what world-class technical support looks like at ClickUp and lead the systems, team, and culture to deliver it at scale.
Key Responsibilities:
- Total Ownership of Technical Support:
- Own end-to-end strategy, execution, and outcomes for ClickUp's technical support experience.
- Lead, mentor, and scale a high-performing global team of technical support managers and representatives.
- Establish and drive KPIs that measure resolution quality, speed, customer satisfaction, and team health.
- Set the bar for technical depth, ensuring the team can diagnose and resolve the most complex product issues with precision.
- Product & Engineering Partnership:
- Serve as the primary bridge between Support and Product/Engineering, ensuring customer pain points translate into product improvements.
- Collaborate closely with Engineering on bug triage, escalation workflows, incident response, and root cause analysis.
- Represent the voice of the customer in product and engineering forums, influencing roadmap priorities with data-driven insights.
- Build joint processes for feature launches, known issue management, and proactive communication to customers.
- Strategy & AI-Native Scaling:
- Drive a forward-looking strategy that leverages AI to scale technical support quality and efficiency without sacrificing the human touch where it matters most.
- Build and iterate on AI-powered workflows for triage, diagnostics, knowledge surfacing, and resolution acceleration.
- Foster an AI-native culture where the team actively experiments with and adopts AI tooling to amplify their impact.
- Identify and implement process improvements that reduce time-to-resolution and increase first-contact resolution rates.
- Operational Excellence:
- Design and optimize escalation paths, on-call processes, and incident management workflows.
- Partner with Support Operations to ensure tooling, reporting, and workforce planning support the team's growth.
- Champion a culture of continuous improvement, knowledge sharing, and technical excellence across the organization.
Qualifications:
- 8+ years in technical support, support engineering, or customer experience leadership, preferably in SaaS or platform companies.
- Proven track record of building and scaling high-performing global technical support teams.
- Deep experience partnering with Product and Engineering organizations to drive customer outcomes and product quality.
- AI-native mindset with demonstrated success using AI tools and automation to scale operations and improve quality.
- Strong technical acumen: able to engage credibly on product architecture, integrations, APIs, and complex troubleshooting.
- Data-driven leader who u