ClickUp is the world’s first Converged AI Workspace, replacing all software and AI with a single place for humans and AI agents to work together. ClickUp eliminates all forms of work sprawl, creates 100% context, and drives unprecedented productivity, collaboration, and alignment.

ClickUp

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. 🚀

We are looking for a strategic, hands-on leader to own ClickUp's organic growth engine at the forefront of the AI Search era. You will bring deep SEO fundamentals, but this is not a traditional Director role. The landscape has shifted, and this position is responsible for defining ClickUp's acquisition strategy across modern discovery systems, building the team and workflows to execute it, and setting the standard for how brands show up across AI-powered surfaces. Our goal is to lead in AI visibility, backed by real investment, executive buy-in, and the autonomy to move fast.

You will own how ClickUp is discovered across Google, ChatGPT, Perplexity, and emerging answer engines. You'll translate market shifts into focused strategy, build AI-powered systems that multiply your team's output, and influence cross-functional partners across Engineering, Content, Product Marketing, and Analytics to rally behind organic growth. This role is equal parts strategist, operator, and pioneer.

Own ClickUp's organic acquisition strategy across Google Search, LLMs, communities, review platforms, and emerging discovery surfaces, evolving it for an agentic and LLM-first landscape.

Build AI-powered workflows and agents to automate everything from content creation to complex analytical assessments, championing experimentation and AI-first ways of working.

Build and manage strategic external partnerships (AI platforms, review ecosystems, third-party publishers) and guide internal teams across Reddit, G2, YouTube, etc. to maximize ClickUp's organic presence.

Partner closely with Engineering, Performance Marketing, Content, Product Marketing, and Analytics as a deeply cross-functional leader who also executes.

Lead ClickUp's technical SEO oversight, including site architecture, structured data, and international SEO.

Develop measurement frameworks and use data to prioritize initiatives, identify growth opportunities, and communicate performance to executive leadership.

Act as the organic growth product owner for web engineering priorities: scoping technical projects, defining requirements, and owning the SEO roadmap alongside the web platform team

Own oversight of the content portfolio: defining scalable strategies across editorial, programmatic, localization, and product-led experiences while managing pruning, consolidation, and quality governance at scale.

8+ years in SEO or organic growth at scale, including 3+ years in a leadership role (B2B SaaS preferred)

Exceptional analytical skills with the ability to separate signal from noise, question assumptions, connect findings to business impact, and communicate recommendations with confidence and candor.

Deep understanding of AI-powered search experiences and LLMs, with hands-on experience measuring AI visibility, citations, and LLM referral traffic using tools like Peec, AirOps, Profound, or Scrunch.

Demonstrated experience building AI-powered workflows to automate processes, improve decision-making, and increase team leverage.

Experience managing direct reports and building small, high-output teams that punch above their weight.

Track record of building custom measurement and attribution frameworks, including dashboards and reporting (Hex, Looker Studio), particularly in emerging channels (like AEO) where standardized methodology doesn't exist yet.

Deep expertise in technical SEO, information architecture, content strategy, and on-site optimization.

Low ego, high candor, and a bias toward action. You'd rather ship an imperfect experiment than wait for perfect data.

Background in or exposure to CRO, particularly where organic acquisition and on-site conversion intersect.

Experience leading international SEO and localization strategies.

Deep technical understanding of how LLMs work end-to-end: from query interpretation to retrieval to output generation, and how that knowledge informs optimization strategy

Experience architecting multi-property domain strategies to expand organic reach beyond a core brand site.

Experience building and deploying AI agents, working with MCPs, and an obsession with automating as much of the workflow as possible to multiply output.

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.

ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our 

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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.

ClickUp Talent Acquisition will only initiate contact via an 

 email or through our official careers portal on 

. 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.

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.

No Sponsorship Available

People Management

AI Proficiency

Experience

SaaS

ClickUp is seeking an SEO Director to lead its organic growth strategy in the AI search era. The role involves owning acquisition across Google, LLMs, and answer engines, building AI-powered workflows, and managing technical SEO and content portfolios to maximize visibility.

SEO Director

Full Time

Equity / Stock Options

 to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you'll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage.

This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You'll help leaders understand what's working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance.

Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes.

Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations.

Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions.

Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation.

Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence.

Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems.

Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations.

Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs.

Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences.

5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams.

Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting.

Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions.

Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment.

Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes.

Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders.

Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability.

Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation.

Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms.

Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor.

Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment.

Staff / Principal Level

ClickUp is seeking a Staff Analyst, GTM Revenue to drive data-driven decision-making across Sales and Customer Success. The role involves building dashboards, analyzing pipeline health, and implementing AI-enabled workflows using SQL and Python to optimize revenue performance and GTM operations.

Estimated Base Salary $169K – $211K • Offers Equity

Staff Analyst

ClickUp is building the world's most complete platform for work by bringing tasks, docs, chat, search, and AI into one connected experience. We're hiring a 

 team and build the backend services and product features that power ClickUp's next-generation AI capabilities.

This is a backend product engineering role at its core, but with one key difference: you'll be building AI-powered product experiences directly, not internal tooling or abstract platform layers. You'll ship features end-to-end in support of an AI team that is deep on coding agents, multi-agent orchestration, and production AI systems. We're looking for someone who is AI-native (you live in this space, you get the patterns, you're excited about what's possible) but whose strength is shipping reliable, scalable backend product code that delivers real user value.

Own and ship the backend product work that brings ClickUp's AI-driven experiences to life, ensuring the features our users interact with are fast, reliable, and well-architected.

Ship backend product features that power AI-driven user experiences at scale: agent interactions, intelligent workflows, and context-aware product capabilities.

Build services that are reliable, observable, and tightly integrated with the product surface.

Partner closely with AI engineers, product managers, and designers to translate product vision into production-ready backend implementations.

Move fast without breaking things: balance iteration speed with code quality and system reliability.

Help the team make smart tradeoffs between feature velocity, system durability, and user experience.

Design and implement backend APIs, services, and data flows that power user-facing AI product features.

Own features end-to-end: from technical design through implementation, testing, rollout, and production monitoring.

Build the backend logic for agent-driven product experiences: context retrieval, action execution, conversation management, and intelligent routing.

Work directly with product and design to scope, estimate, and deliver features that users interact with daily.

Drive reliability and quality: observability, incident response, performance tuning, and rollout safety for AI-serving product surfaces.

Identify product-level bottlenecks and propose pragmatic backend solutions that improve the user experience.

Contribute to architecture decisions that balance product velocity with long-term maintainability.

5+ years of backend engineering experience building and shipping user-facing product features at meaningful scale.

Strong fundamentals in API design, service architecture, data modeling, and performance optimization.

Experience working directly with or in support of AI/ML systems in production (model integration, inference pipelines, or agent-driven features).

Product-minded: you care about what the user experiences, not just what the system does internally.

Comfort working in ambiguous, fast-moving environments where the AI landscape is shifting constantly.

Ability to break down product requirements into clean technical implementations and ship them iteratively.

AI-native mindset: you're not just adjacent to AI, you're genuinely excited about agents, LLMs, and building the product experiences that make them useful.

Experience building backend features for agent-based or AI-powered product experiences.

Familiarity with LLM integration patterns: RAG, function calling, tool use, prompt routing, context management.

Experience with event-driven or asynchronous architectures.

Proficiency in TypeScript/Node.js, Python, or Go.

Experience in SaaS, productivity, or developer-platform environments.

Familiarity with modern AI patterns: vector databases, model gateways, inference optimization, orchestration frameworks.

Background at a startup or high-growth company where you shipped product fast and wore multiple hats.

Senior Level

Visa Sponsorship Available

ClickUp is hiring a Senior Backend Engineer for its AI Product team to develop backend services and features for next-generation AI capabilities. The role focuses on building agent-driven experiences, intelligent workflows, and scalable APIs. Key requirements include 5+ years of backend experience and proficiency in AI/ML production systems.

Estimated Base Compensation $160K – $210K

Senior Backend Engineer - AI Product

own strategy, execution, and operational leadership for Technical Account Management (TAM) Operations

, spanning Professional Services and Customer Success. Partnering closely with TAM leadership, you will serve as the day-to-day operational leader for the systems, automation, planning, quality, and insights that power our Services & Success organization. You will 

set the operating rhythm and performance standards

 for TAM Operations while owning the AI agent harness and automation layer within your domain. You will shape the cadence of business for TAM, unlock data insights, coach organizational performance, transform internal capabilities, and influence strategic decisions across Services, Success, and cross-functional leadership. You will architect, ship, operate, and iterate on AI-driven workflows that enhance and automate customer health inspection, engagement management, services delivery, quality measurement, and decision support across TAM and CX.

Own the vision and strategy for delivering world-class customer experience through our Services & Success operating model

Drive cross-functional alignment across Sales, Product & Engineering, Finance, and Support by synthesizing customer health, retention, and services delivery opportunities into operational priorities

Lead and execute strategic initiatives to optimize and transform customer engagement, services delivery, and internal collaboration processes

Extract key business insights from qualitative and quantitative data, identify risks and opportunities, and build programs that drive revenue retention, expansion, quality, and operating leverage

Promote a culture of rapid innovation and experimentation across playbooks to drive customer outcomes and enhanced experience

Own annual planning, budgeting inputs, capacity modeling, forecasting, and monthly/quarterly business review functions for TAM Operations

Influence multi-year functional planning by translating business strategy into operational roadmaps, investment priorities, and scalable systems

Own variable compensation design, target setting, and attainment tracking for TAM roles in partnership with Finance and TAM leadership

Lead the TAM Operations function across systems and automation, planning and forecasting, quality, and business insights, through a combination of team leadership and cross-functional influence

Set functional priorities, operating standards, and success metrics for TAM Operations, ensuring execution aligns to company objectives

Make final recommendations and drive execution on operating model, workflow orchestration, and process governance decisions across the Services & Success organization

Build organizational capability by coaching team members, raising the quality bar, and establishing scalable mechanisms that improve decision-making and execution over time

Drive accountability and execution quality through clear KPIs, delivery standards, and regular coaching

Own and operate the AI agent harness and automation layer of our TAM operating model

Design, ship, manage, and iterate on AI-driven workflows that enhance and automate customer health inspection, risk detection, engagement management, services delivery lifecycle, workflow orchestration, quality measurement, and customer experience across TAM and CX

Build scalable, multi-step agentic systems that TAM and CX leaders rely on for planning, forecasting, insight generation, and decision support

Establish governance, system evaluation frameworks, and QA processes for AI-assisted outputs: define what "good" looks like, set quality checkpoints, and create feedback loops so AI workflows improve over time

Architect observability into AI-enhanced processes: track output quality, decision accuracy, adoption rates, and business impact to quantify the leverage created through AI

Set direction for the adoption of new tools and processes, including AI and automation platforms, to drive productivity across the TAM organization

Use AI tools in your own workflow: operational analysis, data modeling, reporting automation, strategic communications, and executive presentations

Apply strong judgment to validate AI outputs, manage risk, and improve the repeatable systems the team uses

Stay current with AI developments relevant to CX operations and translate learnings into operating model improvements

Translate AI workflow results into executive-ready insights that inform strategic decisions across TAM, CX, and GTM leadership

Lead by example with hands-on building of AI solutions and coach team members to adopt the same approach across every process

Drive proactive churn and contraction inspection: identify at-risk renewals, perform root cause analysis on losses, and mobilize account teams to execute save motions

Build and operate AI-powered account health and risk inspection tools that surface declining engagement signals and trigger intervention workflows

Drive renewals forecasting in partnership with the TAM & Renewals team: pacing updates, confidence overlays, and contraction/churn projections that inform leadership decisions

Partner with TAM front-line managers to increase customer engagement depth: champion meeting cadence, adoption plan execution, and proactive expansion identification

Own TAM coverage modeling end-to-end: define and maintain coverage ratios by segment, tier, and region that balance workload with customer outcomes

Manage book of business assignments and rebalancing including regional allocation of budgeted headcount

Conduct capacity forecasting as the business scales: model the impact of new customer acquisition, tier migrations, and organizational changes on team bandwidth

Own the design and operationalization of post-sales quality measurement across Services and Success

Build AI-powered quality auditing: automated onboarding quality checks, services engagement monitoring, handoff compliance verification, and sentiment trend alerting

Operationalize partner delivery quality comparison vs. in-house to ensure accountability regardless of delivery model

Connect quality metrics to business outcomes: correlate quality attributes to GRR/NRR and use findings to prioritize investment and process improvement

8+ years in an Operations and/or Strategy role focused on Professional Services, Customer Success, or similar post-sales functions

Proven experience owning or leading a services operations, CS operations, or similar function with responsibility for strategy, operating cadences, and cross-functional execution

Deep knowledge of services and success methodology, processes, tools, and metrics including utilization, engagement health, onboarding, retention, and customer lifecycle management

Effective at engaging and influencing executive stakeholders, building consensus, and driving collaborative change

Demonstrated track record of designing and deploying AI-powered workflows that delivered measurable business outcomes (productivity gains, better decision quality, cleaner execution, improved retention signals, or stronger operating leverage)

Track record of leading technology-enabled business process transformations, with an emphasis on strategic application of AI and agentic solutions

Strong judgment in evaluating AI-generated outputs for accuracy, risk, and appropriateness before scaling them into team workflows

Expert in managing and analyzing data, including building reports and scenario analysis models, as well as leveraging business intelligence tools to drive leadership strategy

Experience owning planning processes, budget inputs, forecasting cadences, and variance analysis

Demonstrated success leading and scaling teams, workflows, and operating mechanisms in a customer-facing or operations function

Direct experience with a SaaS business model, customer journey, and core KPIs in a high-growth, global environment

Proficient with Salesforce, ClickUp, Gong, Outreach, and comparable platforms

Strategic thinker with a bias for action—hands-on, scrappy, and able to take projects to the finish line


Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply!

At ClickUp, we assess every candidate based on the potential impact they can have. We hire the best people for the job and support each person’s journey to build their boldest career.

ClickUp is seeking a Senior Manager of CX Operations to lead strategy and execution for Technical Account Management (TAM) Operations. The role focuses on architecting AI-driven workflows to automate customer health inspection and services delivery while managing capacity planning and budgeting. Proficiency in Salesforce, ClickUp, and AI tools is essential.

Compensation Tier

Senior Manager, CX Operations (Services & Success)

As a Support Automation Engineer on the Post Sales Systems team, you will design, build, and maintain the automation and AI systems that power ClickUp's post-sales support organization. You'll be responsible for translating business workflows in Zendesk and related CX platforms into scalable, intelligent automations that reduce manual effort, improve customer experience, and free up our support team to focus on high-value interactions.

This role sits at the intersection of engineering rigor and customer empathy. You'll partner closely with the Support and Success organizations, GTM Systems Leadership, and cross-functional stakeholders to automate away toil, surface insights through AI, and build systems that adapt to how support teams actually work. The kind of person who thrives here moves fast, takes full ownership of what they build, and is genuinely excited about applying AI to real operational problems. This role is a direct contributor to GTMSOE's broader mission of operational excellence across the GTM org.

AI-Powered Automation Design & Development

Design and build automations in Zendesk that reduce repetitive support work: ticket routing, field population, note summarization, escalation logic, and customer outreach workflows.

Develop AI-driven workflows using Zendesk AI, custom LLM integrations, and ClickUp Super Agents to automate tasks like ticket summarization, sentiment analysis, knowledge base matching, and response suggestions.

Architect low-code/no-code automation solutions using Workato, Zapier, and similar integration platforms to connect Zendesk with Salesforce, ClickUp, Maven chatbot, and other tools.

Own the full lifecycle of an automation: discovery, design, build, testing, deployment, and ongoing optimization based on usage and feedback.

Ensure seamless data flow between Zendesk, Salesforce, ClickUp, Chili Piper, Maven AGI chatbot, and other tools in the support tech stack.

Design integration patterns that keep data clean, up-to-date, and accessible to downstream systems without creating maintenance nightmares.

Build and maintain reporting dashboards and data pipelines that surface support health, automation impact, and team productivity metrics.

Partner with the Support org to identify pain points, bottlenecks, and opportunities where AI and automation can deliver measurable value.

Experiment with emerging AI/LLM capabilities (agents, RAG, fine-tuning) and determine which are production-ready for support workflows.

Build reusable AI templates and patterns that other CX Systems team members can leverage, promoting consistency and reducing duplication.

Collaborate with the broader GTM Systems Engineering team to share learnings and align on AI strategy across post-sales, sales, and finance domains.

Log AI/automation work in the team's AI Excellence registry to promote transparency and cross-team learning.

Monitor automation health, error rates, and SLAs; proactively identify and resolve issues before they impact support operations.

Gather feedback from support teams and stakeholders; iterate on existing automations to improve accuracy, reduce false positives, and adapt to evolving business needs.

Maintain documentation and runbooks so that support and CX teams understand how automations work and when to escalate issues.

Help simplify and modernize existing architecture in Zendesk and connecting systems to improve long-term maintainability.

Work closely with GTM Support teammates and leadership on intake, prioritization, and task execution.

Partner with the Support and Success organizations and key stakeholders to translate business requirements into technical specifications.

Contribute to the GTM Systems Engineering operating model: maintain task hygiene and communicate proactively on large initiatives.

3–5+ years in systems administration, business systems engineering, or customer support platform work.

Demonstrated experience building automations or integrations that have shipped to production and delivered measurable business value.

Hands-on experience with CX platforms, particularly Zendesk at an admin level or higher.

Experience in a high-velocity, collaborative environment where you wear multiple hats and adapt quickly.

Optional but valued: experience with ClickUp, Maven/chatbots, GTM systems, or support-focused SaaS operations.

 Hands-on experience with automations, triggers, business rules, and configuration (admin-level proficiency or higher).

 Comfortable with REST APIs, webhooks, and integration platforms (Retool, Workato, Zapier, or similar low-code tools).

 Familiarity with prompt engineering, LLM APIs (OpenAI, Claude, etc.), MCP, and how to safely integrate AI into production workflows. You don't need to be an ML engineer, but you should understand when and how to apply AI to solve real problems.

 Comfortable working with JSON, SQL, or light scripting (Python, JavaScript) to build data pipelines and transform data between systems.

 Understanding of Zendesk-to-Salesforce sync workflows, object relationships, and common integration patterns.

 You take full responsibility for the systems you build—reliability, documentation, and continuous improvement included. You don't hand off and walk away.

 You move fast, iterate, and ship. You embrace "done is better than perfect" when appropriate, but never at the expense of reliability or customer trust.

 You're excited about LLMs and AI agents, not intimidated. You experiment, learn quickly, and know when to apply new tools and when to stick with what works.

 You're a skilled communicator who can translate between technical and non-technical stakeholders. You ask clarifying questions, challenge assumptions respectfully, and build trust with the teams you support.

 You're customer-centric and measure success not just by automation coverage, but by the real impact on support efficiency and quality.

 Primary CX platform—automations, triggers, custom fields, custom apps, and reporting.

 AI-powered automation and task orchestration within the ClickUp ecosystem.

 Zendesk-to-Salesforce integration, data sync, field mapping, and cross-system workflows.

ClickUp is seeking an Automations Engineer for their Post Sales Systems team to design and maintain AI-powered automation and systems for the support organization. The role involves building workflows in Zendesk, integrating tools via Workato and Zapier, and leveraging LLMs to reduce manual toil and improve customer experience.

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