Analytics Engineer

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 two products: Warp, the agentic development environment born out of the terminal, and Oz, our orchestration platform for running hundreds of cloud agents in parallel. With both products, we’re creating the scaffolding for developers to build their own workflows for working with agents. 

In Warp, 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. In Oz, build custom agents that are triggered programmatically, tracked centrally, and are shared across full teams to run agents across organizations without compromising security or reliability. Continue cloud agent runs that were triggered by Oz locally in Warp or on the web with one click.

With over 700,000 active developers at companies including Docker, Ramp, 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.

We’re hiring an Analytics Engineer to join Warp’s data team, reporting to Ian Wright, our Data Lead. Warp is a fast-growing AI developer tool, and our data footprint is expanding quickly—we ingest telemetry from our apps and servers, LLM conversational data, transactional production databases, GTM pipelines, and a variety of third-party sources. The data team’s job is to transform this raw data into reliable metrics and deep insights that help us understand how our product is used, how the business is growing, and where we should go next.

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:

• 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

• 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

• 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 have 4+ 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

• Experience with the GCP data stack (GCS, BigQuery, Dataflow, Dataproc)
• Production-grade experience with Python
• Experience on a data team at an early-stage startup
• Familiarity with Warp’s platform

At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in this job description – we encourage you to apply anyways! We are a community of curious learners, and most of us are learning some skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles.

If you're feeling playful, try out our optional hiring challenge and submit your answers with your application: https://github.com/warpdotdev/hiring-challenge

Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity.

When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you’d like to be paid, the skills and level of experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The budgeted compensation amount for this role is targeted at $160,000 - $180,000.

In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we’re happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside.

Final total compensation is determined by multiple factors including your experience and expertise and may vary from the amounts listed above.

We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world.

We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you’re interested in learning more about our company values and the culture of our engineering team, please take a look at our internal 'How We Work' guide.

We’re very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, Figma), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI).

Here's our latest demo showing some of our current features…