Senior Data Engineer - Consumer Subscriptions at xAI

On-site - New York, NY; Palo Alto, CA

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We’re seeking a Senior Data Engineer to join the Consumer Subscriptions team. You will own the analytics foundation for X Premium and SuperGrok — one of X’s fastest-growing revenue organizations. You will dive deep into the entire consumer subscription ecosystem, turning massive-scale data into clear, actionable insights that drive strategic decisions, optimize revenue, and shape product direction. This high-impact role combines rigorous statistical analysis, compelling visualization, and hands‑on data engineering to monitor performance, measure impact, surface opportunities, and ensure every initiative moves the needle.

Salary

USD 180,000 - 440,000

Requirements

Skills

  • 5+ years of experience as a data analyst (or equivalent) with a proven track record in revenue, subscription, or growth analytics
  • Strong SQL and Python proficiency (pandas, numpy, etc.) for data extraction, cleaning, and analysis
  • Deep experience with statistical methods, A/B testing, cohort analysis, and causal inference
  • Strong familiarity with subscription metrics and modeling (LTV, churn, retention, conversion, revenue attribution, etc.)
  • Skilled at building intuitive dashboards and visualizations (Looker, Tableau, Metabase, or Python-based tools)
  • Ability to handle large-scale data with a strong emphasis on accuracy, rigor, and storytelling
  • Prior work in consumer subscriptions, billing, payments, or monetization analytics at scale
  • Experience with BigQuery and real-time analytics pipelines
  • Strong product intuition and the ability to connect data insights directly to business outcomes

Responsibilities

  • Own end-to-end analysis of the consumer subscriptions ecosystem — including acquisition, conversion, retention, churn, revenue, pricing, promotions, bundles, and global performance
  • Build and maintain high-impact dashboards and visualizations that give the team real-time visibility into key metrics and trends
  • Perform deep statistical analysis and experimentation to quantify the impact of new features, offers, communications, and market expansions
  • Identify where the team should focus next by uncovering growth opportunities, user behavior patterns, and optimization levers
  • Design and run ongoing monitoring systems and automated audits to ensure data accuracy, integrity, and compliance at scale
  • Write efficient code (SQL, Python, etc.) to extract, transform, and analyze complex datasets from multiple sources
  • Translate complex findings into clear, compelling narratives and recommendations that influence engineering, product, and business strategy

Technologies

SQLPythonpandasnumpyLookerTableauMetabaseBigQuery

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