Growth Data Engineer

Embedding VC

San Francisco (CA)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive salary

Bonus program

Equity ownership

Job summary

A leading AI creative tools company is looking for a Growth Data Engineer to build and own marketing data and attribution systems. You will ensure accurate measurement and optimization of acquisition efforts across platforms. Ideal candidates have 3-5 years of experience in growth or marketing data engineering, along with strong SQL and conversion tracking skills. This role offers competitive compensation and is preferably based in the Bay Area, with hybrid work options available.

Qualifications

3–5 years of experience in growth data or marketing data engineering.
Strong hands-on experience with GTM and ad platforms.
Experience in implementing conversion tracking 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 and cross-functional collaboration.

Responsibilities

Build and maintain marketing attribution systems.
Implement first-party data passback to ad platforms.
Ensure data flows reliably between product, warehouse, and CRM.
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, revenue).
Operationalize new marketing experiments (UTMs, tracking parameters, campaign setup).
Debug and resolve tracking and attribution discrepancies across systems.
Build and validate marketing and pipeline dashboards; ensure data accuracy.
Implement privacy-safe tracking practices (Consent Mode, CMP integrations).
Partner with growth, product, and data teams to inform decisions.

Skills

Growth data

Marketing data engineering

Analytics engineering

SQL

Cross-functional collaboration

Debugging skills

Tools

GTM

Google Ads

Meta Ads

BigQuery

SQL

Amplitude

Stripe

SQL

GCP

Job description

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, user journey, conversion mapping)
Implement and manage 1st‑party data passback 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 measurement supports decision‑making

🧑💻 What We’re Looking For

Core Requirements

3–5 years of experience in growth data, marketing data engineering, or analytics 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 data discrepancies
Comfortable working 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)
- 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