Analytics Engineer

Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools, the terminal, to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into a full agentic development environment: a workbench for dispatching agents to code, deploy, and debug production software. Today, we have three products. Warp is the agentic development environment born out of the terminal, built on an orchestration platform for running hundreds of cloud agents in parallel. And Warp Factories is our newest product: infrastructure for engineering teams to build and run their own cloud software factories, where fleets of agents triage, spec, implement, review, and verify code across a company's entire SDLC. Together, these products are creating the scaffolding for developers to build their own workflows for working with agents. In Warp, you can seamlessly switch between running commands, launching agents, and iterating on code with agents, eliminating the need to jump between a terminal and an IDE. It all works with our built in SOTA agent or top agents like Claude Code, Codex, Gemini CLI, and OpenCode. On the orchestration side, you can build custom agents that are triggered programmatically, tracked centrally, and shared across full teams to run agents across organizations without compromising security or reliability. Continue a cloud agent run locally in Warp or on the web with one click. And with Warp Factories, teams can go a step further and set up entire automated workflows around their SDLC, retaining full control over their data, models, and compute along the way. With over 1 million active developers at companies including Docker, Ramp, and Peloton, and over half of the Fortune 500, and revenue that grew over 44x last year, Warp is one of the fastest growing startups in the AI development space. Our mission has remained the same even as AI has advanced: to empower developers to ship better software more quickly, freeing them to focus on the creative and rewarding aspects of their work. If you want to help define what development looks like in the agentic era at a company where your work reaches hundreds of thousands of engineers every day, we'd love to have you. For more information on our team and culture, we highly recommend reading our ' How We Work' guide. Why this role? Warp is hiring an Analytics Engineer to join the data team. This role is at the center of how we understand our product, users, and business. You'll work across every function at Warp: product, engineering, growth, revenue, and go-to-market. Warp is a fast-growing AI developer tool. Our data footprint reflects that growth — we ingest telemetry from our apps and servers, LLM conversational data, transactional production databases, GTM pipelines, and a range of third-party sources. Your job is to turn that raw data into the reliable metrics and deep insights that drive real decisions. This isn't a role where you slot into an existing system. You'll own the data model, define how we measure what matters, and set the standard for how analytics gets done at Warp. That means building durable infrastructure and shipping high-impact analysis — often at the same time. If you want to shape how a company at scale thinks about its data from the ground up, this is that role. As an Analytics Engineer, you will... This is a full-stack data role that moves across the data stack and touches all parts of Warp’s business. Your work will fall into three broad areas: Operations Define, build, and visualize core product and business metrics Design and analyze A/B experiments to measure the impact of product changes Adapt data models to support new product features, pricing models, and business initiatives Partner with GTM teams to surface product-qualified leads, measure engagement, and support billing and revenue analytics Infrastructure Build and maintain canonical data models that serve as reliable sources of truth Write production ETL to ingest new data sources and reverse-ETL to push data to downstream consumers Develop AI agents to automate pieces of the data team’s workflows Establish data quality monitoring and reliability standards Build tooling that enables self-serve analytics across the company Research Conduct deep ad-hoc analysis to understand user behavior, model business mechanics, and uncover growth opportunities Dig into questions like: How does Warp expand within companies? What is the optimal pricing structure? How do we identify potential enterprise leads? What characteristics of AI interactions drive churn? You May Be A Good Fit If... You have 6+ years of experience in an analytics-focused data role You’re highly fluent in SQL and dbt on top of a modern warehouse like BigQuery, Snowflake, or Redshift You’ve built dashboards and visualizations with BI tools like Hex, Looker, Mode, Tableau, or Metabase You care deeply about the business decisions your data informs—not just building the pipelines behind them You balance business intuition with an engineering mindset: writing efficient, scalable queries; thinking about cost and compute across the data stack; and working with version control, CI/CD, and testing You have a bias for action and are comfortable operating with autonomy—you can identify opportunities across the company and proactively build solutions You’re an effective and creative communicator who can translate complex analysis into actionable insights for stakeholders with varying levels of data fluency You’re deeply curious—when a metric moves unexpectedly, you dig until you understand why You’ve integrated AI into your daily workflows; at Warp we lean heavily on agents to accelerate and automate our work Bonus: Experience with the GCP data stack (GCS, BigQuery, Dataflow, Dataproc) Production-grad