Growth Data Engineer

Posted 21 Hours Ago
San Francisco, CA, USA
Hybrid
300K-350K Annually
Mid level
Artificial Intelligence • Machine Learning • Software • Generative AI
The Role
Build and own marketing data and attribution systems: implement tracking (GTM, pixels, conversion APIs), integrate CRM/warehouse with ad platforms, sync audiences, validate dashboards, debug data discrepancies, and operationalize experiments to ensure measurable, attributable marketing and lifecycle metrics.
Summary Generated by Built In

🧑🏼 💻 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 isAI-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

Skills Required

  • 3-5 years of experience in growth data, marketing data engineering, or analytics engineering
  • Hands-on experience with GTM (client and server-side), pixels, and conversion APIs
  • Experience with major ad platforms (Google Ads, Meta Ads, TikTok Ads) and Enhanced Conversions
  • Experience implementing conversion tracking, attribution systems, and sending offline conversions/LTV signals back to ad platforms
  • Familiarity with data pipelines and warehouse concepts (BigQuery, ETL/ELT)
  • Strong SQL skills and ability to work directly with data
  • Strong debugging skills to investigate and resolve tracking and attribution discrepancies
  • Ability to configure and maintain conversion events and schemas across product, CRM, and ad platforms
  • Experience building and managing audience sync pipelines and integrating CRM/warehouse data into ad platforms
  • Comfortable working cross-functionally with marketing, product, and data teams
  • High ownership, fast execution, and strong attention to detail
  • Experience supporting performance marketing teams
  • Familiarity with attribution models (last-click, MTA, probabilistic vs deterministic)
  • Familiarity with 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
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
20 Employees
Year Founded: 2022

What We Do

OpenArt is a San Francisco-based AI creativity platform that enables users to generate, edit, and explore images, videos, characters, and audio using advanced AI models. Founded by ex-Googlers, the company's mission is to build the future of storytelling with AI, providing tools that make high-quality generative art and content creation accessible to both hobbyists and professional creators worldwide.

Similar Jobs

Hebbia Logo Hebbia

Back-end Engineer

Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
In-Office
2 Locations
120 Employees
160K-300K Annually

Embedding VC Logo Embedding VC

Data Engineer

Artificial Intelligence • Software • Generative AI
In-Office or Remote
7 Locations
17 Employees

Zscaler Logo Zscaler

Principal Production Engineer

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
San Jose, CA, USA
8697 Employees
165K-235K Annually

Zscaler Logo Zscaler

Sr. Production Engineer

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
San Jose, CA, USA
8697 Employees
119K-170K Annually

Similar Companies Hiring

Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
LTX Thumbnail
Conversational AI • Generative AI
Jerusalem, Israel
360 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account