Growth Data Engineer
Embedding VC
- San Francisco, California, United States
- San Francisco, California, United States
About
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
⚙ 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 preferred (hybrid allowed)
Visa sponsorship available
We’ll consider remote
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Languages
- English
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