Manager, Technical Account Management

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 the all-in-one productivity platform that brings tasks, docs, chat, AI, and workflows together so teams can move faster with less friction. We’re hiring a Manager, Technical Account Management to lead a team supporting mid-market to enterprise customers across AMER. This role exists because our customers need a leader who can raise team execution, create clarity across onboarding, adoption, expansion, and renewal motions, and help translate customer complexity into repeatable, scalable outcomes.

The mission of this role is to lead a high-performing Technical Account Management team that helps customers realize fast value, deeper adoption, durable retention, and thoughtful expansion through a disciplined, data-driven, AI-augmented customer engagement motion.

What you’ll own

Lead, coach, and develop a team of Technical Account Management / post-sales customer leaders supporting mid-market to enterprise accounts across AMER.

Build a high-accountability operating rhythm with clear goals, performance expectations, coaching cadences, and KPI visibility across the team.

Ensure strong execution of the customer engagement process across onboarding, adoption, expansion, and renewal-risk moments so customers get consistent, high-quality support.

Use customer health signals, adoption data, renewal timing, and account context to help the team prioritize well, intervene early, and focus effort where it will have the greatest impact.

Lead or contribute to renewal strategy reviews, deal reviews, and executive business reviews that connect customer activity to business value, retention, and growth.

Partner closely with Sales, Professional Services, Solutions, Product, and other cross-functional teams to deliver a seamless customer experience and remove blockers quickly.

Act as a voice of the customer internally by surfacing patterns, risks, feedback, and opportunities that should inform process improvements, product direction, and team playbooks.

Help create clarity in a fast-changing environment by improving how the team operates, makes decisions, and scales customer coverage over time.

Build and operationalize AI-driven workflows, agents, and automated playbooks that enable the team to cover more accounts at higher quality with less manual effort.

Contribute domain expertise to scalable AI tools and processes that extend TAM best practices across the full customer base, not just individually managed accounts.

Drive AI adoption within the team as a core performance expectation, ensuring every TAM leverages AI as a force multiplier in their day-to-day customer motions.

Required qualifications

Significant experience in Customer Success, Technical Account Management, or a similar post-sales SaaS function, including experience managing high-performing customer-facing teams.

Experience supporting mid-market and enterprise customers in a B2B SaaS environment where retention, adoption, expansion, and executive stakeholder management matter.

Proven ability to coach teams through onboarding, value realization, renewal strategy, risk mitigation, and growth opportunities across a portfolio of accounts.

Strong operational judgment, including comfort using health scores, adoption data, renewal timelines, and account signals to prioritize work and improve outcomes.

Strong leadership, communication, and cross-functional collaboration skills, with the ability to influence both senior internal stakeholders and customer decision-makers.

Clear ownership mindset, strong prioritization habits, and the ability to operate effectively in a fast-moving environment with shifting priorities.

Ability to turn ambiguity into action by creating structure, reinforcing accountability, and helping teams execute consistently at scale.

Demonstrated ability to integrate AI tooling into team workflows to improve speed, coverage, and customer outcomes.