ClickUp

• Own end-to-end video production from business goal to polished final cut: AI generation, compositing, motion graphics, sound design, color grading, and finishing. • Tell stories through video. Every piece has narrative structure, intentional pacing, and a clear arc. Write your own scripts and storyboards. Understand how music, silence, and timing serve the narrative. • Produce high-volume short-form and long-form content using AI video gen models combined with traditional finishing. Same-day or next-day turnaround with social, PMM, and brand teams. • Build and document repeatable AI video workflows that increase output velocity without sacrificing quality, and that the broader team can leverage. • Stay on the bleeding edge: evaluate new AI video models within days of release and integrate what works into production pipelines.

• Broadcast ClickUp's innovation to the market: ensure every major feature launch makes the biggest splash possible and maintain a drumbeat that signals velocity to customers and prospects alike. • Translates complex product capabilities (AI agents, convergence, ambient AI) into customer value stories that resonate, convert, and make competitors feel generic. • Architect AI-powered marketing systems: automated content production, intelligent segmentation, predictive lifecycle triggers, and clear attribution across the funnel. • Partner with product, growth, and acquisition teams to ensure cohesive customer journeys from first touch through expansion. • Design and run conversion experiments across the full funnel (landing pages, email, in-app, pricing pages) at 3-5x the velocity of a traditional marketer. Own landing page structure, testing, and scalable page production using AI. • Own lifecycle and in-app messaging end-to-end: onboarding, activation, retention, expansion, and win-back flows across email and product surfaces. Master triggers, placement, frequency, and rapid experimentation within the product to teach users the highest-leverage features at the right moment.

• Cost Efficiency: Drive significant annual infrastructure savings by migrating data workloads to EKS and self-hosting key services such as OpenSearch. • Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org. • Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring into coverage gaps. • Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts. • Automation: Ship automated shard buildout via Backstage to remove manual toil from enterprise scaling. • Reliability: Cut P0/P1 incidents attributed to Cloud Platform (DNS, ALB misconfiguration) through hardened ingress patterns and Terraform-policy guardrails, including blocking unauthenticated public endpoints. • Roadmap Ownership: Deliver a roadmap covering Agent enablement, centralized IaC, and deployment rollout acceleration, tied to AI and Enterprise revenue goals. • People Leadership: Grow, develop, and retain a senior-heavy team distributed across the US, Canada, and Europe, spanning FTEs and contractors, with a focus on succession planning and bench depth. • Vendor Management: Own multi-million-dollar AWS spend accountability and contractor oversight, with a savings-pipeline mindset baked into planning.

• 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.

• Guiding new teams through implementation, onboarding, and training to ensure a smooth start and foundational success. • Proactively managing user adoption, stakeholder alignment, and account health to promote long-term success, retention, and growth opportunities. • Collaborating with customers to identify critical business processes, map them to scalable solutions, and drive efficiency through ongoing refinement and performance insights. • Empowering customers to leverage emerging features and technologies, including AI and automation, to enhance productivity, streamline operations, and deliver real-world impact. • Monitoring seat utilization, adoption trends, and Champion/Stakeholder engagement. • Building and executing adoption plans and account reviews to maintain or improve health. • Identifying risks early and building recovery plans in partnership with the account team. • Delivering ongoing change management and enablement, ensuring customers continue to evolve and mature with the platform.

Role Description We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for the team, drive cross-functional alignment on data infrastructure strategy, and solve our hardest engineering problems. - Own the technical architecture of ClickUp's data platform, making design decisions that balance scalability, cost, reliability, and velocity. - Define and drive the technical roadmap for data infrastructure in partnership with leadership. - Design systems at scale: build frameworks, abstractions, and patterns that other engineers use daily. - Lead complex, cross-team technical initiatives spanning data engineering, analytics engineering, data science, and data analytics. - Drive cost optimization across cloud infrastructure and compute, turning efficiency into a competitive advantage. - Build and evolve our data pipelines using AWS serverless (Lambda, Fargate, Step Functions, Kinesis, S3, DynamoDB, Aurora), Snowflake, and dbt. - Establish and champion engineering standards: observability, testing, CI/CD, code review, and documentation practices. - Design and maintain infrastructure for AI/ML workloads, including LLM frameworks, feature pipelines, training data systems, and model monitoring. - Mentor senior engineers, provide technical guidance through design reviews, and raise the overall engineering quality of the team. - Influence org-wide technical decisions and represent data engineering in company-level architecture discussions. Qualifications - Significant professional experience in data engineering or backend/infrastructure engineering, with at least 3 years operating at a senior or staff level. - Proven track record of owning architecture for data platforms or large-scale distributed systems. - Deep expertise in AWS cloud services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora) and infrastructure as code (Terraform and/or CDK). - Expert-level SQL and Snowflake (or equivalent cloud data warehouse) knowledge, including performance tuning and cost optimization. - Strong experience with dbt and modern ELT/ETL patterns at scale. - Advanced Python skills with emphasis on building reusable libraries, frameworks, and tooling. - Hands-on experience with orchestration frameworks (Airflow, Dagster, or Prefect) in production environments. - Experience building data infrastructure for AI/ML: feature stores, training pipelines, embedding pipelines, model serving, or LLM integration. - Deep understanding of streaming and event-driven architectures (Kinesis, Kafka, or equivalent). - Mastery of CI/CD, Git workflows, containerization (Docker), and deployment automation. - Strong communication skills: ability to write technical RFCs, influence without authority, and translate complex trade-offs for non-technical stakeholders. - Track record of mentoring and growing engineers, with a multiplier mindset. Requirements - Experience operating data platforms at high scale (petabyte-level warehouses, millions of events/sec). - Familiarity with data mesh or data product paradigms. - Experience with FinOps practices and cloud cost management at scale. - Prior experience in a technical leadership role without direct reports (staff/principal IC track). - Contributions to open-source data tools or technical communities. Benefits 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. 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. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. 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. Fraud Alert 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 support@clickup.com. 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 AskPeople@ClickUp.com.

Role Description We’re looking for a Technical Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement. TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes. Qualifications - Solid understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality. - Comfortable with generative AI concepts, prompt design, and automation frameworks. - Strong at workflow analysis for core, well-understood processes. - Strong project and time management for your account load. - Comfortable using dashboards and metrics to communicate health, adoption, and ROI at the account level. - Executive presence and strong communication skills. - Accountable for day-to-day execution for your book of business. - Works cross-functionally with account teams, Product, and Sales to align on outcomes. Requirements - Support customers through onboarding and implementation for assigned customers. - Monitor adoption and account health within your book. - Collaborate with customers to understand key workflows and configure ClickUp solutions. - Guide customers in adopting relevant features, including AI and automation. - Use AI in your own day-to-day workflow to synthesize discovery and improve documentation quality. - Conduct Intake → Execution → Reporting (IER) cycles for core customer workflows. - Support adoption of ClickUp AI across relevant customer workflows. - Serve as the technical partner for assigned accounts, connecting usage to business value. - Identify expansion signals and pass qualified leads to the account team. - Partner with account teams, Product, and Services to maintain alignment. Benefits - Opportunity to work in an AI-native environment. - Support for career development and growth. - Collaborative work culture.

• Own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling • Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack • Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch • Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable • Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server • Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows • Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable • Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction • Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns

• Recruit and activate new partners that align with ClickUp’s ideal partner profile, including consultancies, agencies, VARs, referral partners, MSPs, and system integrators. • Build and manage a focused book of partners across the United States and Canada, with clear priorities around partner quality, partner engagement, and revenue impact. • Create repeatable service offerings and go-to-market plays that help partners position, implement, and expand ClickUp effectively. • Lead joint business planning with priority partners, translating strategy into pipeline creation, co-selling activity, and measurable growth. • Coach partners on how to run an effective, predictable sales motion with ClickUp—from early qualification through solution positioning and deal progression. • Collaborate closely with Account Executives, Sales Engineers, channel marketing, and other cross-functional teams so partner activity is tightly connected to field execution. • Use data and partner feedback to improve the motion over time, including which partners to prioritize, where to invest enablement, and how to increase conversion and sourced revenue. • Represent ClickUp externally with partners and customers, helping strengthen our presence and credibility in the ecosystem.

• 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, build strong relationships with key decision makers, and create tailored solutions that address complex business needs. • Consistently exceed pipeline and sales targets by generating new opportunities through outbound prospecting, networking, and leveraging marketing-qualified leads. • Lead expansion efforts within existing Enterprise accounts by uncovering additional use cases, identifying upsell and cross-sell opportunities, and driving adoption across multiple business units. • Deliver compelling presentations and product demonstrations to both new prospects and current customers, effectively communicating value and ROI. • Collaborate closely with Growth, Marketing, and Customer Success teams to optimize lead generation, accelerate sales cycles, and maximize expansion revenue. • Analyze customer segments and market trends to identify new business opportunities and continuously improve the quality of the sales pipeline, with a strong focus on both acquisition and expansion.