Growth Data Engineer
At a glance
Mid-level Data Engineering role at OpenArt AI. San Carlos · full-time · $300,000–$350,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build attribution that connects UTMs, user journeys and conversions to show which marketing efforts drive revenue
- Send conversion, revenue and lifetime-value signals from first-party data back to advertising platforms
- Keep tracking tags, pixels, conversion events and schemas working consistently across product, CRM and ad platforms
- Connect warehouse and CRM data to ad platforms, and maintain audience-sync pipelines for campaign optimization
- Investigate tracking mismatches, validate marketing dashboards and set up measurement for new campaigns
What you bring
- Three to five years in growth data, marketing data engineering or analytics engineering
- Hands-on work with GTM, tracking pixels, conversion APIs and advertising platforms such as Google Ads or Meta
- Experience building conversion attribution and returning offline conversions or lifetime-value data to ad platforms
- Strong SQL, data-pipeline and warehouse skills, plus the ability to troubleshoot inconsistencies across systems
Who this fits
This role suits a hands-on engineer who works across marketing, product and data teams and can take ownership of growth measurement. The job is based in the Bay Area, with hybrid work allowed; visa sponsorship is available.
From the employer
🧑🏼 💻 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
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