Growth Marketing Data Engineer

Wwshemi; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

SpaceXSI is hiring its first dedicated Marketing Analytics lead to measure performance across 10+ channels for Grok and related AI products. You will partner with Marketing leadership to own measurement, run incrementality tests, and help scale paid acquisition while building a world-class data team.

You will design and maintain models, validate LTV signals, and ensure clean attribution data across platforms.

Qualifications

• 7+ years of experience in marketing analytics, marketing science, or data science supporting paid acquisition.
• Strong SQL and Python skills and experience building data pipelines and predictive models.
• Experience with hold-out/incrementality tests, MMM, and attribution models in production.
• Understanding ad platform reporting, optimization, and conversion signal ingestion.
• Ability to communicate clearly with channel managers, Finance, and leadership.
• Self-directed and comfortable owning ambiguous problems end to end.

Responsibilities

• Build and own the measurement layer for performance marketing across channels, campaigns, audiences, geo, and creative.
• Design incrementality tests with channel owners and use results to guide budget allocation and attribution.
• Stand up and maintain the media-mix model and align results with allocation decisions.
• Own the predictive LTV signal and collaborate with Data/Engineering to improve it.
• Keep pipeline source and attribution clean and separate to avoid double counting revenue.

Skills

SQL

Python

Marketing analytics

A/B testing

Attribution modeling

Cross-functional communication

Job description

SpaceXSI is hiring its first dedicated Marketing Analytics lead to measure performance across 10+ channels for Grok and related AI products. You will partner with Marketing leadership to own measurement, run incrementality tests, and help scale paid acquisition while building a world-class data team.

You will design and maintain models, validate LTV signals, and ensure clean attribution data across platforms.