Senior Data Engineer - Consumer Subscriptions

xAI

$180K — $440K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience as a data analyst (or equivalent) in subscription or growth analytics.
  • Proficiency in SQL and Python (including pandas, numpy) for data manipulation.
  • Experience with statistical analysis, A/B testing, and cohort analysis.
  • Familiarity with key subscription metrics like LTV, churn, and retention.
  • Skilled in creating dashboards using tools like Looker or Tableau.
  • Ability to manage large datasets with precision and deliver compelling insights.

Responsibilities

  • Own the full analysis of the consumer subscriptions ecosystem, focusing on metrics like acquisition and churn.
  • Develop high-impact dashboards for real-time monitoring of key performance indicators.
  • Conduct statistical analysis to evaluate new features and market strategies.
  • Identify growth opportunities through user behavior analysis and optimization insights.
  • Design monitoring systems for data accuracy and compliance at scale.
  • Write efficient code for data extraction and transformation from diverse sources.
  • Translate complex analytical findings into actionable business recommendations.

Benefits

  • Equity participation in the company's growth.
  • Comprehensive medical, vision, and dental insurance coverage.
  • Access to a 401(k) retirement savings plan.
  • Short and long-term disability insurance.
  • Life insurance and additional perks and discounts available.
Full Job Description
ABOUT THE ROLE:

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.
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.
BASIC QUALIFICATIONS:
  • 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.
PREFERRED SKILLS AND EXPERIENCE:
  • 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.
COMPENSATION AND BENEFITS;

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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