ClickUp

Data Scientist

• Serve as a key strategic partner to our Product Leadership team
• Define product metrics that drive our business
• Build an analytics function for Product Managers
• Translate complex data into clear narratives and actionable recommendations
• Recruit, manage, and develop a team of product analysts
• Promote a culture of experimentation and data-informed decision-making
• Define success metrics for strategic features like ClickUp AI and ClickUp Brain

Senior Manager, Product Analytics

Data Engineer

• Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.
• Develop and optimize data pipelines leveraging AWS services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora, etc.) and Snowflake.
• Implement ELT workflows within dbt in partnership with our Analytics Engineering function.
• Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs.
• Automate infrastructure and pipeline deployments with CI/CD best practices.
• Monitor, debug, and improve system performance with strong observability and logging practices.
• Partner with cross-functional teams (analytics, data science, product, engineering) to deliver high-quality data solutions.
• Mentor teammates and contribute to engineering standards, raising the technical bar across the team.

Senior Data Engineer

Sales

• Lead and scale the commercial sales team to achieve and exceed revenue targets
• Build the infrastructure and processes to scale by hundreds in coming years
• Develop and implement sales strategies
• Utilize data analytics to make informed decisions and optimize sales processes
• Foster a high-performance culture through effective change management and leadership
• Collaborate with cross-functional teams to increase output and efficiency
• Drive results-oriented initiatives and ensure alignment with company goals
• Manage and mentor a team of sales leaders and representatives
• Ensure compliance with company policies and procedures

RVP Commercial Sales – EMEA

Growth Marketing

• Be the systems architect for our content-to-demand engine: Build and Scale Content Funnels, Content-to-Lead Infrastructure, Cross-Functional Bridge, and Funnel Monitoring & Optimization.
• Create the automation layer that multiplies team productivity: Scalable Workflow Development, AirOps Infrastructure Ownership, AI Integration & Innovation, and Documentation & Enablement.
• Own the measurement framework that proves content ROI: Content-to-Revenue Attribution, Demand Gen Reporting, Data Quality & Governance, Insights & Recommendations, and Experimentation Framework.

Senior Growth Marketing Manager

Artificial Intelligence

• Own senior stakeholder relationships; align agent deployments to business priorities, operating constraints, and measurable success metrics.
• Lead discovery with a consultative approach to identify high-value workflows for agentic automation; translate goals into a practical delivery roadmap.
• Provide guidance on governance, risk controls, and adoption strategy for AI-enabled workflows (ownership, escalation paths, monitoring, change management).
• Own ongoing post-launch customer relationship management, proactively monitoring adoption and outcomes, coordinating cross-functional stakeholders, and identifying risks and expansion opportunities.
• Lead kickoff through launch for Certified Agent engagements, ensuring strong scope control, timeline management, and stakeholder alignment.
• Run process mapping (current and future state), document requirements, and secure signoff on the build package.
• Optimize customer workspace foundations to support agent-driven operations (structure, permissions, templates, reporting, operational hygiene).
• Configure Certified Agents and supporting workflows; apply prompting best practices and implementation standards.
• Build UAT plans and test cases; perform internal validation and coordinate customer validation to ensure outcomes meet requirements.
• Drive launch readiness and adoption: admin and end-user enablement, walkthroughs, and post-launch stabilization.
• Produce customer-ready documentation (process maps, agent prompt/config rationale, use-case walkthroughs, operating guidance).
• Establish and track KPIs that demonstrate business impact (efficiency gains, error reduction, throughput, compliance, ROI).
• Identify expansion opportunities for additional agent use cases and broader workflow optimization, partnering with Sales/CS as appropriate.
• Support ongoing services such as agent updates and periodic recertification, ensuring solutions remain aligned to evolving customer needs.
• Set a high bar for delivery quality; improve repeatability through templates, checklists, and playbooks.
• Mentor and enable other consultants on Certified Agent delivery methods, prompting standards, and troubleshooting patterns.
• Partner cross-functionally (Solutions, Support, Product/AI, Integrations) to resolve escalations and improve customer outcomes.
• Surface delivery insights and product gaps to inform roadmap, packaging, and services strategy.

Professional Services Consultant, AI Solutions

Account Executive

• Drive net new business by proactively identifying, engaging, and converting high-value Enterprise and Strategic prospects into customers.
• Develop and execute strategies to penetrate new accounts.
• Consistently exceed pipeline and sales targets by generating new opportunities through outbound prospecting.
• Lead expansion efforts within existing Enterprise accounts.
• Deliver compelling presentations and product demonstrations to both new prospects and current customers.
• Collaborate closely with Growth, Marketing, and Customer Success teams.
• Analyze customer segments and market trends for new business opportunities.

Enterprise Account Executive – EMEA

Backend Engineer

• Build features and systems with attention to detail and performance.
• Own end-to-end development, from conception to production.
• Engineer not only solutions but also tools to understand the problem.
• Work closely with cross-functional stakeholders to deliver a world-class product.
• Identify and implement improvements to our existing systems.
• Help establish a fun, fulfilling, world-class engineering culture.

Senior Backend Engineer, Chat & Notifications

Business Operations

• Own the Vision: Define the end-to-end future state for OTC, mapping how deals progress from product-led trials to sales-assisted enterprise contracts.
• Drive Prioritization: Maintain a transparent multi-quarter roadmap that balances quick wins with foundational investments in DealHub, Salesforce, and internal tooling.
• Manage Delivery: Partner with GTM Engineering to scope initiatives, plan sprints, and manage delivery from discovery through UAT and launch.
• Serve as the Primary Interface: Act as the main point of contact for Sales, Deal Desk, Finance, and Legal to capture requirements and triage systemic execution issues.
• Lead Discovery: Conduct structured discovery to identify pain points in quoting and approvals, translating complex pricing changes into scalable system designs.
• Drive Change Management: Own the rollout of new processes, including stakeholder alignment, communication plans.
• Lead the CPQ Transition: Spearhead the product side of the migration from Salesforce CPQ to DealHub, ensuring a seamless transition for revenue teams.
• Simplify Complexity: Redesign deal approval and quoting experiences to reduce cycle time while preserving necessary financial guardrails and controls.
• Ensure Cohesion: Define configuration principles that maintain data quality and workflow integrity across the stack (Ironclad, NetSuite, Gong, ZoomInfo).
• Automate Workflows: Identify and prioritize opportunities to automate approvals, quote generation, and billing handoffs to reduce manual errors.
• Leverage AI: Collaborate on AI-assisted experiences (guided selling, smart approvals) to support both PLG and sales-assisted motions.
• Measure & Iterate: Define key metrics (quote-to-close time, error rates) and use data to continuously refine processes, ensuring they meet audit and financial control requirements.

Staff Order to Cash Business Systems Manager

Solutions Engineer

• Partner with sales and success to deliver technical presentations that explain our products and integrations for prospective and current clients.
• Design, develop, deploy and manage customer-specific proof of value (PoV) projects.
• Build custom reports and dynamic dashboards for prospective clients' management teams.
• Assist with the functional and technical elements of RFPs.
• Stay current on new feature releases and maintain updated demo spaces for sales.
• Must reside in one of the following metropolitan areas: San Diego, CA; Seattle, WA; Chicago, IL; Boston, MA; or Raleigh, NC.

Senior Solutions Engineer, Enterprise

Product Adoption Specialist

• Maintain and expert knowledge of the ClickUp product to provide targeted support to ClickUp users.
• Partner closely with users to understand their goals and blockers. Then translate that information into solutions that allow users to continue to scale in the platform.
• Manage a book of business with a focus on implementations and recurring delivery
• Deliver end-to-end configuration, and optimization of a customer's ClickUp Workspace
• Create roadmaps to ensure our customer's are continuously receiving value.
• Provide initial support for customer inquiries via email or the ClickUp platform.
• Conduct remote training sessions to educate clients on platform functionality, best practices, and configured workflows.
• Maintains expert knowledge of ClickUp's ICPs.
• Provide guidance and mentorship to team mates across the support organization.
• Attainment of team KPIs

Senior Digital Adoption Specialist

Graphics Designer

• Maintain and further elevate ClickUp’s brand aesthetic across all digital touchpoints by conceptualizing, creating, expanding, and updating the visual identity and brand guidelines.
• Design, revise, and update a variety of marketing and advertising materials—including web and social ads, reports, infographics, videos, slides, websites, blogs, 1-pagers, and trade show displays, to support sales, customer success, and marketing objectives.
• Develop and implement systems, templates, and processes that streamline asset creation and improve efficiency.
• Work collaboratively with other designers to ensure a consistent, integrated brand perception and user experience.
• Lead and execute creative projects from concept to final delivery, including taking over and finishing projects started by others.
• Partner with stakeholders across all departments, acting as the creative project owner when needed.
• Present work to stakeholders and leadership, incorporating feedback and driving alignment.
• Mentor junior designers and collaborate with outside agencies as needed.
• Balance multiple projects and shifting priorities in a fast-paced environment.

Senior Graphic Designer

SEO Marketing

• Investigate trends in AI search and LLM behavior and build clear points of view on which shifts matter most for ClickUp.
• Analyze how ClickUp appears across platforms such as ChatGPT, Perplexity, and AI Overviews and highlight the opportunities and surfaces that deserve focus.
• Turn patterns and gaps from AI and search data into clear recommendations, and ship work that improves brand visibility and accuracy.
• Partner with teams such as Content, Community, and the Center of Excellence to show how their work influences answer engines and to support initiatives that serve shared goals.
• Strengthen our site structure, technical health, and content organization so that answer engines interpret our information clearly and consistently.
• Use AI workflow tools to refine structured content outputs so they are accurate, clear, and aligned with how LLMs interpret information, and apply judgment on what to refine or rebuild.
• Challenge assumptions and traditional best practices to surface better tactics for influencing how answer engines interpret ClickUp.
• Help build the systems, tracking methods, and recurring processes that allow us to monitor AI visibility at scale and respond quickly to shifts.

Senior SEO Manager – AI Search, AEO

AI Engineer

• Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models.
• Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions.
• Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform.
• Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.
• Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost.
• Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence.
• Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems.
• Stay current with advancements in AI infrastructure, MLOps, and LLM applications, and proactively incorporate relevant innovations into ClickUp’s AI platform.
• Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.

Staff AI Engineer – AI Platform

• Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.
• Develop and optimize data pipelines leveraging AWS services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora, etc.) and Snowflake.
• Implement ELT workflows within dbt in partnership with our Analytics Engineering function
• Build and maintain LLM frameworks, ensuring high-quality and cost effective outputs.
• Automate infrastructure and pipeline deployments with CI/CD best practices.
• Monitor, debug, and improve system performance with strong observability and logging practices.
• Partner with cross-functional teams (analytics, data science, product, engineering) to deliver high-quality data solutions.
• Mentor teammates and contribute to engineering standards, raising the technical bar across the team.