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Analytics Engineer

Warp

Remote (Global) Full-time Mid Level $160k – $180k/yr 1w ago

About the role

About Warp

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 the platform for Agentic Development: a workbench for dispatching agents to code, deploy, and debug production software.

We have over 700k active developers and revenue that grew over 44x last year, making us one of the fastest‑growing startups in the AI development space. Our mission is to empower developers to ship better software more quickly, freeing them to focus on the creative and rewarding aspects of their work.

Role Overview

Analytics Engineer – reporting to Ian Wright, Data Lead

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, Infrastructure, and Research.

Responsibilities

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
  • Investigate questions such as:
    • 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?

Requirements

You may be a good fit if you have:

  • 4+ years of experience in an analytics‑focused data role
  • Highly fluent in SQL and dbt on top of a modern warehouse like BigQuery, Snowflake, or Redshift
  • Experience building dashboards and visualizations with BI tools such as Hex, Looker, Mode, Tableau, or Metabase
  • A strong sense of how business decisions are informed by data, not just pipeline construction
  • Ability to balance business intuition with an engineering mindset: writing efficient, scalable queries; thinking about cost and compute; working with version control, CI/CD, and testing
  • A bias for action and comfort operating with autonomy, identifying opportunities across the company and proactively building solutions
  • Effective, creative communication skills to translate complex analysis into actionable insights for stakeholders with varying data fluency
  • Deep curiosity—when a metric moves unexpectedly, you dig until you understand why
  • Experience integrating AI into 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

Compensation

  • Competitive base salary targeted at $160,000 – $180,000
  • Meaningful equity grant with a four‑year vesting period and one‑year cliff

Benefits

  • Competitive salary & meaningful equity
  • Full medical, dental, and vision benefits for employees (80% coverage for dependents)
  • Flexible remote‑first culture, with optional office spaces in NYC and SF
  • 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

About the Team

We are a company run by product‑first builders, building a core product for all developers. Our early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We value honesty, humility, and pragmatism, and we are committed to building a diverse, inclusive, and authentic workplace.

If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. We are a community of curious learners, and many of us are learning new skills for the first time.


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

Requirements

  • 4+ years of experience in an analytics-focused data role
  • Highly fluent in SQL and dbt on top of a modern warehouse like BigQuery, Snowflake, or Redshift
  • Built dashboards and visualizations with BI tools like Hex, Looker, Mode, Tableau, or Metabase
  • Care deeply about the business decisions your data informs—not just building the pipelines behind them
  • 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
  • Bias for action and are comfortable operating with autonomy—you can identify opportunities across the company and proactively build solutions
  • Effective and creative communicator who can translate complex analysis into actionable insights for stakeholders with varying levels of data fluency
  • Deeply curious—when a metric moves unexpectedly, you dig until you understand why
  • Integrated AI into your daily workflows

Responsibilities

  • 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?

Benefits

health insurancedental insurancevision insuranceFSA Health Savings PlanCommuter BenefitPaid Time OffSick Time OffUS HolidaysParental Leavecompany retreatsgym stipendinternet stipend401(k)OneMedical membership

Skills

BigQueryCI/CDdbtDataflowDataprocGCPGCSHexLookerMetabaseModePythonRedshiftSnowflakeSQLTableauversion control

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