Growth Data Engineer

OpenArt AI

San Carlos (CA)

Hybrid

USD 300,000 - 350,000

Full time

33 hours ago
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Benefits offered by this job

Equity
Bonus program
Hybrid work environment

Job summary

OpenArt is seeking a Growth Data Engineer in the Bay Area with hybrid work options to own its marketing data and attribution systems. You will ensure every marketing dollar is measurable, attributable, and optimizable across product, CRM, and ad platforms.

This role sits at the intersection of data engineering, marketing tech, and analytics, collaborating with growth, product, and data teams to drive data-driven decision-making and growth.

Qualifications

  • 3–5 years of experience in growth data, marketing data engineering, or analytics engineering.
  • Hands-on experience with GTM, pixels, conversion APIs and ad platforms.
  • Experience implementing conversion tracking and attribution systems.
  • Experience sending offline conversions / LTV signals back to ad platforms.
  • Familiarity with data pipelines and warehouse concepts (BigQuery, SQL, ETL/ELT).
  • Strong SQL skills and ability to work with data directly.
  • Strong debugging skills and cross-functional collaboration.

Responsibilities

  • Build and maintain marketing attribution systems (UTM tracking, user journey, conversion mapping).
  • Configure and maintain tracking infrastructure across GTM, Google Ads, Meta, and more.
  • Set up conversion events and schemas across platforms and ensure consistent definitions.
  • Build and manage audience sync pipelines and integrate CRM/warehouse data into ad platforms.
  • Operationalize new marketing experiments and resolve tracking discrepancies.
  • Create marketing and pipeline dashboards and ensure data accuracy.

Skills

SQL
Data pipelines
GTM implementation
Ad platforms
BigQuery
ETL/ELT
Analytics engineering
Python scripting
Data debugging

Tools

GTM
Google Ads
Meta Ads
TikTok Ads
BigQuery
SQL
GCP
Amplitude
Metabase

Job description

About OpenArt
  • Own the measurement and attribution layer of a fast-scaling AI company.
  • Direct impact on growth — your work drives acquisition efficiency and revenue.
  • Work across product, marketing, and data — highly cross-functional role.
  • Build from 0 → 1 — define how we track, attribute, and optimize growth.
  • High ownership, low process, fast iteration environment.
  • 7–10X revenue growth over the past 2 years — now scaling growth infrastructure.
Growth Data Engineer
About OpenArt

OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We’re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we’re shaping that future.

Why Join OpenArt
  • Own the measurement and attribution layer of a fast-scaling AI company.
  • Direct impact on growth — your work drives acquisition efficiency and revenue.
  • Work across product, marketing, and data — highly cross-functional role.
  • Build from 0 → 1 — define how we track, attribute, and optimize growth.
  • High ownership, low process, fast iteration environment.
  • 7–10X revenue growth over the past 2 years — now scaling growth infrastructure.
About the Role

We’re looking for a Growth Data Engineer to build and own OpenArt’s marketing data and attribution systems, ensuring that all acquisition and lifecycle efforts are accurately measured and optimized.

This role sits at the intersection of data engineering, marketing tech, and analytics — focused on making sure that data flows reliably between product, warehouse, CRM, and ad platforms.

You will be responsible for ensuring that every marketing dollar is measurable, attributable, and optimizable — from first touch to revenue.

What You’ll Do
  • Build and maintain marketing attribution systems (UTM tracking, userjourney, conversion mapping)
  • Implement and manage 1st-party data pass back to ad platforms (e.g.,conversions, revenue, LTV signals)
  • Configure and maintain tracking infrastructure:
    • GTM (client + server-side)
    • Google Ads (Enhanced Conversions)
    • Meta Pixel + Conversions API
    • LinkedIn, TikTok, and other ad platforms
  • Set up and maintain conversion events and schemas across platforms
  • Ensure consistent event definitions and naming across product, CRM, and ad platforms
  • Build and manage audience sync pipelines
  • Integrate CRM and warehouse data into ad platforms for optimization (offline conversions, lead stages, revenue)
  • Operationalize new marketing experiments (UTMs, tracking parameters, campaign setup)
  • Debug and resolve tracking and attribution discrepancies across systems(e.g., Ads vs CRM vs warehouse)
  • Build and validate marketing and pipeline dashboards, ensuring data accuracy and consistency
  • Implement privacy-safe tracking practices (Consent Mode, CMP integrations)
  • Partner closely with growth, product, and data teams to ensure measurementsupports decision-making
What We’re Looking For
Core Requirements
  • 3–5 years of experience in growth data, marketing data engineering, oranalytics engineering
  • Strong hands-on experience with:
    • GTM, pixels, conversion APIs
    • Ad platforms (Google Ads, Meta, etc.)
  • Experience implementing conversion tracking and attribution systems
  • Experience sending offline conversions / LTV signals back to ad platforms
  • Familiarity with data pipelines and warehouse concepts (BigQuery, SQL,ETL/ELT)
  • Strong SQL skills; comfortable working with data directly
  • Strong debugging skills — able to systematically investigate and resolve datadiscrepancies
  • Comfortable working cross-functionally with marketing, product, and datateams
  • 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)
  • Privacy frameworks (SKAN, ATT, Privacy Sandbox)
  • Experience with mobile attribution tools (AppsFlyer, Adjust, Branch)
  • Experience with experimentation and A/B testing frameworks
  • Experience in consumer product, marketplaces, or e-commerce
  • Basic Python or scripting for automation
Tech Stack You’ll Work With
  • GTM, Google Ads, Meta Ads, TikTok Ads, BigQuery, Metabase, Amplitude, Stripe,SQL, GCP
Compensation
  • Competitive base salary and bonus program
  • Equity — meaningful ownership in what you build
  • High autonomy, high growth environment
Work Setup
  • Bay Area required (hybrid allowed)
  • Visa sponsorship available

Compensation Range: $300K - $350K

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