Marketing Analytics Engineer
Marketing · Full-time · SF / NY
ApplyOur mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries.
About the role
We’re looking for someone to own the technical foundation for how Cursor measures marketing performance end-to-end. You will build reliable tracking (client + server-side), wire up CRM and warehouse integrations, and create reporting that the paid and lifecycle teams can trust for optimization and experimentation. This role sits at the intersection of marketing ops, data engineering, and analytics, and will partner closely with paid media, revenue ops, and data.
What you’ll do
Implement server-side tracking using Stape.io (or similar server-side GTM hosting)
Configure and maintain pixels/tags and GTM containers (client + server) across platforms, including:
Google Ads (Enhanced Conversions)
Meta Pixel + Conversions API
LinkedIn Insight Tag
Other networks (Bing, TikTok, Reddit, etc.)
Operationalize new marketing experiments (UTMs, tracking parameters, campaign setup, routing rules) so initiatives are measurable from day one
Set up integrations that push CRM events back to ad networks for optimization (SQLs, Opportunities, Closed Won)
Manage syncing of CRM and warehouse audiences into ad platforms and marketing tools (via Hightouch or similar), ensuring segmentation accuracy and timely refreshes
Build automations using native integrations or tools like Zapier / Make / Clay, webhooks, or APIs when needed
Build or connect data sources for reporting dashboards (Roadway, Fibbler, Hex, and other BI tools)
Build and maintain core marketing + pipeline dashboards, and validate data accuracy across systems (CRM, ad platforms, warehouse, BI)
Partner with the paid team to run measurement studies (for example, geo-lift holdouts) and interpret results
Configure conversion events across ad platforms, and ensure consistent event definitions and naming
Configure Consent Mode v2 and work with CMP tools to maintain compliant measurement
Run testing and QA via Tag Assistant, Events Manager, and related tooling
Debug tracking and attribution issues when platform data does not match (for example, Google Ads vs CRM), and drive fixes to resolution
You may be a fit if
You have built and maintained modern marketing tracking stacks, including server-side setups (GTM server-side, Stape, or similar)
You are comfortable working across GTM, ad platform pixels, conversion APIs, and event schemas
You have experience integrating CRM outcomes back into ad platforms (offline conversions, lead stages, pipeline, revenue)
You can work with data pipelines and audience sync tools (Hightouch or similar) and care about data quality
You have experience building reliable reporting in BI tools and can validate source-of-truth metrics across systems
You are strong at debugging and can systematically troubleshoot tracking discrepancies
You can collaborate with paid media, lifecycle, RevOps, and data teams in a high-ownership environment
You move fast, document what matters, and raise issues early when measurement is at risk
You are willing to go above and beyond when it matters