Data Engineer, Marketing (AI)

Location: San Francisco, United States

Company

Cursor AI is building a super intelligence stack, including large-scale computing infrastructure, AI models, and AI applications.

What you will do

• Build and own the measurement layer for performance marketing across channels, campaigns, audiences, geographies, and creative for PLG and sales-led revenue.
• Design geo, audience, and conversion-lift incrementality tests with channel owners and use the results to guide budget allocation and attribution calibration.
• Establish and maintain the media-mix model and combine it with test results to determine channel scaling, budget cuts, and saturation points.
• Own the quality of predictive LTV signals sent to Meta, Google, and other advertising networks by validating them against realized revenue and detecting drift or breakage.
• Partner with Data and Engineering to improve conversion signals and maintain clean separation between pipeline source and campaign attribution.

Requirements

• 7+ years of experience in marketing analytics, marketing science, or data science supporting paid acquisition.
• Strong SQL and Python skills, with experience building data pipelines and predictive models.
• Experience running hold-out or incrementality tests and working with media-mix modeling and attribution models in production.
• Understanding of how advertising platforms report, optimize, and ingest conversion signals, including the limitations of platform-reported metrics.
• Clear communication with channel managers, Finance, and leadership, including accurately communicating what the data does and does not support.
• Self-directed approach and comfort owning ambiguous problems end to end.

Culture & Benefits

• Work as the first dedicated marketing-focused member of a small central Data team.
• Partner directly with Marketing leadership and collaborate with Data, Engineering, Finance, and channel managers.
• Work across consumer, SMB, startup, and enterprise audiences and multiple AI products.