Data Engineer, Marketing

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

Job summary

SpaceXSI is seeking a Data Engineer, Marketing to build and own marketing measurement and analysis for performance marketing across channels and audiences. You will partner with Marketing leadership to improve incrementality testing, MMM, LTV signals, and clean attribution.

Located in San Francisco, this onsite role requires 7+ years of relevant experience, with hands-on work on data pipelines, predictive modeling, and cross-functional collaboration with the Data and Engineering teams.

Qualifications

• 7+ years in marketing analytics, marketing science or data science for paid acquisition.
• Strong SQL and Python skills with experience building data pipelines and predictive models.
• Experience running incrementality tests and working with MMM and attribution models in production.
• Understanding ad platform reporting, optimization and conversion signal ingestion.
• Clear communication with channel managers, Finance and leadership.
• Self-directed and able to own ambiguous end-to-end problems.

Responsibilities

• Build and own the measurement layer for performance marketing across channels.
• Design incrementality tests and calibrate attribution based on results.
• Stand up and maintain a media-mix model with test results to inform allocation.
• Own the quality of the predictive LTV signal sent to networks and validate against revenue.
• Keep pipeline source and campaign attribution separate and accurate.

Skills

Marketing analytics

SQL

Python

Data pipelines

Predictive models

Incrementality tests

MMM

Attribution models

LTV signals

Communication

Tools

SQL

Python

Job description

SpaceXSI is hiring a Data Engineer, Marketing to build and own marketing measurement and analysis for performance marketing across channels and audiences. The role partners closely with Marketing leadership to improve incrementality testing, media-mix modeling (MMM), LTV signal quality, and clean attribution and pipeline sourcing. This position sits within the central Data team and is the first dedicated hire focused fully on marketing.

Located in San Francisco, CA, this is an onsite role requiring 7+ years of relevant experience.

What you will do

• Build and own the measurement layer for performance marketing, covering economics and performance by channel, campaign, audience, geo, and creative, across both PLG and Sales-Led revenue lines
• Design incrementality tests (geo, audience, and conversion lift) with channel owners, then use results to move budget and calibrate attribution, not only to report outcomes
• Stand up and maintain a media-mix model, pairing it with test results to address core allocation questions such as which channels to scale, which to cut, and where saturation is occurring
• Own the quality of the predictive LTV signal sent to Meta, Google, and other networks by validating against realized revenue and catching drift or breakage early, working with Data and Engineering to improve it
• Keep pipeline source and campaign attribution separate and clean so that self-reported source, promo codes, click-based attribution, and CRM pipeline each answer their own question without double counting revenue

Required experience and skills

• 7+ years of experience in marketing analytics, marketing science, or data science supporting paid acquisition
• Strong SQL and Python skills, with comfort building data pipelines and predictive models
• Experience running hold-out or incrementality tests and working with MMM and attribution models in production, including understanding limitations
• Understanding of how ad platforms report, optimize, and ingest conversion signals, with ability to avoid taking platform-reported numbers at face value
• Clear communication with channel managers, Finance, and leadership, including honesty about what the data does and does not support
• Self-directed approach and comfort owning ambiguous, end-to-end problems

Technologies

• SQL
• Python

About the team and role context

The Data team at SpaceXSI is small and supports business and product decisions across the company. This hire will be the first member of the team dedicated to marketing, partnering directly with Marketing leadership to own the measurement and analysis of performance marketing, growth marketing programs, and overall marketing measurement. Performance Marketing at SpaceXSI drives scaled acquisition across 10+ channels for Grok, Grok Bot, and the full portfolio of AI products, across consumer, SMB, startup, and enterprise audiences.

The role focuses on using measurement expertise to inform where the next dollar goes as paid acquisition scales, while building foundations for a world class marketing data team.