Analytics Engineer
Why this role?
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.
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 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
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 $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.
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.
About the job
Apply for this position
Analytics Engineer
Why this role?
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.
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 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
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 $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.
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.
