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OpenArt is an AI-native storytelling and visual creation platform used by millions worldwide, building next-generation creative tools for video, visual, character, and story creation. The company has achieved 7–10X revenue growth over the past two years and is now scaling its growth infrastructure.
As Growth Data Engineer, you will own the measurement and attribution layer for this fast-scaling AI company. This is a highly cross-functional role sitting at the intersection of data engineering, marketing tech, and analytics. You will ensure that all acquisition and lifecycle efforts are accurately measured and optimized, making every marketing dollar measurable, attributable, and optimizable from first touch to revenue.
Key Responsibilities:
- Build and maintain marketing attribution systems including UTM tracking, user journey mapping, and conversion tracking
- Implement and manage first-party data pass-back to ad platforms (conversions, revenue, LTV signals)
- Configure and maintain tracking infrastructure across GTM (client and server-side), Google Ads Enhanced Conversions, Meta Pixel and Conversions API, LinkedIn, TikTok, and other ad platforms
- Set up and maintain consistent event definitions and naming conventions across product, CRM, and ad platforms
- Build and manage audience sync pipelines, integrating CRM and warehouse data into ad platforms for optimization
- Operationalize new marketing experiments with proper UTM and tracking parameter setup
- Debug and resolve tracking and attribution discrepancies across systems (Ads vs CRM vs warehouse)
- Build and validate marketing and pipeline dashboards ensuring data accuracy
- Implement privacy-safe tracking practices including Consent Mode and CMP integrations
- Partner closely with growth, product, and data teams to ensure measurement supports decision-making
Tech Stack: GTM, Google Ads, Meta Ads, TikTok Ads, BigQuery, Metabase, Amplitude, Stripe, SQL, GCP
Requirements:
- 3–5 years of experience in growth data, marketing data engineering, or analytics engineering
- Strong hands-on experience with GTM, pixels, and conversion APIs
- Proven experience with ad platforms (Google Ads, Meta, etc.)
- Experience implementing conversion tracking and attribution systems
- Experience sending offline conversions and LTV signals back to ad platforms
- Familiarity with data pipelines and warehouse concepts (BigQuery, SQL, ETL/ELT)
- Strong SQL skills and comfort working directly with data
- Strong debugging skills to systematically investigate and resolve data discrepancies
- Ability to work cross-functionally with marketing, product, and data teams
- High ownership, fast execution, and strong attention to detail
Nice to Have:
- Experience supporting performance marketing teams
- Familiarity with attribution models (last-click, MTA, probabilistic vs deterministic)
- Knowledge of privacy frameworks (SKAN, ATT, Privacy Sandbox)
- Experience with mobile attribution tools (AppsFlyer, Adjust, Branch)
- Experience with experimentation and A/B testing frameworks
- Background in consumer product, marketplaces, or e-commerce
- Basic Python or scripting for automation
