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’re hiring a highly influential product analytics leader who can turn ambiguous questions into sharp insight, scalable measurement, and recommendations that directly shape what we build. This person will partner closely with Product, Engineering, Design, and Growth to raise the bar on decision quality and establish a more AI-native analytics operating model.
Mission
Drive the product insight agenda by helping ClickUp make faster, smarter product decisions through rigorous analysis, strong product judgment, and AI-enabled analytics workflows.
What You'll Do
Own the product analytics agenda across product usage, activation, feature adoption, retention, and expansion, and translate open-ended business questions into structured analyses and clear recommendations
Partner with Product, Engineering, and Design to define success metrics early, improve instrumentation quality, and ensure important product surfaces are measurable from launch
Build reusable analysis frameworks, semantic layers, metric definitions, and self-serve resources that help product teams answer routine questions faster and more consistently
Apply AI-first methods across the analytics workflow, using large language models, coding agents, and automation for tasks like query drafting, QA, validation, documentation, and first-pass synthesis while keeping human judgment at the center of final recommendations
Design and interpret experiments, observational analyses, and trend investigations, including situations where data is incomplete or traditional experimentation is not feasible
Surface meaningful patterns in behavioral, subscription, and product data to influence roadmap choices, prioritization, and executive decision-making
Create monitoring and alerting approaches that reduce manual reporting cycles and make it easier to spot product opportunities, risks, and anomalies earlier
Mentor analysts and elevate team practices around analytical rigor, AI-assisted workflows, insight storytelling, and stakeholder communication
Qualifications
Significant experience in analytics, business intelligence, data science, or product analytics, including strong experience partnering with Product teams in a B2B SaaS or product-led growth environment
Advanced SQL skills and strong familiarity with modern cloud data and analytics tooling such as Snowflake, dbt, Amplitude, Segment, Hex, Tableau, Looker, or similar platforms
Working proficiency in Python for analysis, automation, or experimentation support
Strong product analytics judgment, including experience with event instrumentation, funnel analysis, cohort analysis, retention, feature adoption, and experimentation
Demonstrated ability to translate broad, ambiguous questions into structured analysis plans and actionable recommendations for senior stakeholders
Excellent written and verbal communication skills, with a track record of making complex findings easy for product and executive audiences to act on
Clear examples of using AI, automation, or agentic workflows to improve analytics speed, scale, or quality while maintaining strong QA and decision discipline
A high-ownership working style with strong prioritization skills and a track record of independently driving high-impact work
Desirable
Experience building or scaling product analytics practices, self-serve measurement systems, or reusable metrics frameworks
Experience analyzing AI or LLM-powered product features and understanding how they influence activation, engagement, monetization, or retention
Strong grasp of applied statistics, causal reasoning, and incremental impact measurement
Experience mentoring analysts or setting best practices for how analytics teams operate
Experience in fast-moving software environments where analytics directly influences roadmap tradeoffs and product strategy
If you’re excited to shape product decisions, modernize how analytics work gets done, and help define what AI-first analytics looks like in practice, we’d love to talk.
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.
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If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details.
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.
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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.
Significant product analytics experience in B2B SaaS or product-led growth; advanced SQL, Python, cloud analytics tooling, experimentation, product metrics, communication, and AI-enabled workflows.
Key Responsibilities
- owning analytics
- building frameworks
- mentoring analysts
Skills & Tools
SQL, Snowflake, dbt, Amplitude, Segment, Hex, Tableau, Looker, Python
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — United States or Canada
- Salary: USD 205,000 – 251,000 / year
- Languages: English
About ClickUp
An AI-native software company providing a unified workspace for tasks, documents, chat, calendars, and enterprise search. — Industry: Information Technology