The opportunity
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.
What you'll do
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.
What they're looking for
- 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.
