Analytics Engineer

Why this role?

Warp is hiring an Analytics Engineer to own the data vertical — a high autonomy role 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-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

Salary Transparency

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 $180,000 - $210,000.

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.

What We Offer

• Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board
• Full Medical, Dental, and Vision Benefits for employees (80% coverage for dependents)
• Flexible remote-first culture, with optional office spaces in NYC and SF for folks who want to work together IRL 
• Pre-tax FSA Health Savings Plan
• Pre-tax Commuter Benefit
• 20-days of Paid Time Off
• Unlimited Sick Time Off
• 12 US Holidays
• 16 weeks of paid Parental Leave for both birthing and non-birthing parents
• Twice-a-year company retreats
• Monthly gym and internet stipend
• Guideline 401(k)
• Complimentary OneMedical membership

Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.