Data Engineer, Marketing

San Francisco, CA
Full-time
$220,000 - $275,000
Posted Oct 28, 2026

Skills

CRM
Python
SQL
Sales
Communication

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

DATA ENGINEER, MARKETING

The Data team at SpaceXSI is a small team that works across the company to inform business and product decisions, and we're hiring the first member of our team to focus fully on marketing. Performance Marketing at SpaceXSI drives scaled acquisition across 10+ channels for Grok, Grok Bot, and our full portfolio of AI products, across consumer, SMB, startup, and enterprise audiences.

This role will sit in the central Data team and partner directly with Marketing leadership to own the measurement and analysis of performance marketing, growth marketing programs, and overall marketing measurement. You'll use your expertise to inform where the next dollar goes as we scale paid acquisition, while building the foundations of a world class marketing data team. Your job is to help us understand the impact of our activities and what we should do next.

RESPONSIBILITIES:

•Build and own the measurement layer for performance marketing: 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, and use the results to move budget and calibrate attribution, not just to fill a slide

•Stand up and maintain our media-mix model, and pair it with test results to answer the big allocation questions: which channels to scale, which to cut, and where we're hitting saturation

•Own the quality of the predictive LTV signal we send to Meta, Google, and the other networks: validate it against realized revenue, catch drift and breakage early, and partner with Data and Engineering to improve it

•Keep pipeline source and campaign attribution separate and clean, so self-reported source, promo codes, click-based attribution, and CRM pipeline each answer their own question without double counting revenue

BASIC QUALIFICATIONS:

•5+ years of experience in marketing analytics, marketing science, or data science supporting paid acquisition

•Strong SQL and Python skills

•Experience building data pipelines and predictive models, such as LTV or conversion-value models

•Familiarity with incrementality or holdout tests

PREFERRED SKILLS AND EXPERIENCE:

•Experience building and running media-mix models and multi-touch or click-based attribution in production, and a clear view of where each one falls short

•Deep familiarity with how ad platforms (Meta, Google, and others) report, optimize, and ingest conversion signals, and a healthy skepticism of platform-reported numbers

•Experience at a company with significant paid marketing spend, ideally during a period of rapid growth

•Experience measuring both self-serve (PLG) and sales-led funnels

•Clear communication with non-technical partners and honesty about what the data does and doesn't support

•Comfortable owning ambiguous problems end to end as a first or early hire

COMPENSATION AND BENEFITS:

The annual compensation range for this role is listed below.

Annual Salary:

$220,000 - $275,000 USD

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of our total rewards package at SpaceXSI, 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.