adminCompany: OpenArt
Job Title: Growth Data Engineer
Work Setup: Bay Area preferred (Hybrid allowed) | Remote considered
Visa Sponsorship: Available
Salary:
If you’re the kind of data engineer who enjoys owning attribution, fixing messy tracking pipelines, and making every growth dollar measurable, this opportunity at OpenArt stands out.
This is not just another analytics role. It’s a high-impact, high-ownership position where you’ll define and build the measurement, attribution, and marketing data infrastructure for a fast-scaling AI company used by millions worldwide.
About OpenArt
OpenArt is an AI Storytelling and Visual Creation Platform helping users create:
- Videos
- Visuals
- Characters
- Stories
The company’s mission is rooted in the belief that the future of creativity is AI-native, and it is building next-generation tools that allow anyone to create faster and more imaginatively with AI.
This makes the role especially exciting for candidates who want to work at the intersection of:
- Growth
- Data Engineering
- Marketing Technology
- Product Analytics
- Applied AI
About the Role
As a Growth Data Engineer, you will build and own the systems that ensure marketing performance is accurately measured, attributed, and optimized.
This role sits right at the intersection of:
- Data engineering
- Marketing tech
- Product analytics
- Growth operations
Your mission is simple but critical:
Make sure data flows cleanly and reliably between the product, data warehouse, CRM, and ad platforms, so that every marketing dollar can be tracked from first touch all the way to revenue.
That means this is ideal for someone who is equally comfortable with:
- Event schemas
- Tracking infrastructure
- Conversion APIs
- Ad platform integrations
- SQL and warehouse logic
- Attribution debugging
- Dashboard validation
What You’ll Be Doing
This role is highly hands-on and operationally important.
Core Responsibilities
You will:
- Build and maintain marketing attribution systems, including:
- UTM tracking
- User journey mapping
- Conversion mapping
- Implement and manage 1st-party data passback to ad platforms, such as:
- Conversions
- Revenue
- LTV signals
- Configure and maintain tracking infrastructure across major platforms, including:
- Google Tag Manager (client-side + server-side)
- Google Ads Enhanced Conversions
- Meta Pixel + Conversions API
- TikTok
- Other advertising platforms
- Set up and maintain conversion events and event schemas across systems
- Ensure consistent event definitions and naming conventions across:
- Product
- CRM
- Ad platforms
- Build and manage audience sync pipelines
- Integrate CRM and warehouse data into ad platforms for optimization, including:
- Offline conversions
- Lead stages
- Revenue events
- Operationalize new marketing experiments, including:
- UTM structures
- Tracking parameters
- Campaign measurement setup
- Debug and resolve tracking and attribution discrepancies between:
- Ad platforms
- CRM systems
- Data warehouse outputs
- Build and validate marketing and pipeline dashboards
- Ensure data accuracy, consistency, and trust in reporting
- Implement privacy-safe tracking, including:
- Consent Mode
- CMP integrations
- Partner closely with:
- Growth teams
- Product teams
- Data teams
What They’re Looking For
This role is best suited for someone who already has strong practical experience in growth data infrastructure, attribution, and marketing systems.
Core Requirements
OpenArt is looking for candidates with:
- 3–5 years of experience in:
- Growth data
- Marketing data engineering
- Analytics engineering
- Strong hands-on experience with:
- Google Tag Manager (GTM)
- Pixels
- Conversion APIs
- Strong familiarity with major ad platforms, such as:
- Google Ads
- Meta Ads
- Similar performance channels
- Experience implementing:
- Conversion tracking
- Attribution systems
- Experience sending:
- Offline conversions
- LTV signals
back into ad platforms
- Familiarity with:
- BigQuery
- SQL
- ETL / ELT workflows
- General warehouse concepts
- Strong SQL skills
- Ability to work directly with raw or structured data confidently
- Strong debugging skills, especially around cross-system data mismatches
- Comfort collaborating cross-functionally with:
- Marketing
- Product
- Data teams
- A strong sense of:
- Ownership
- Speed
- Detail orientation
Nice-to-Have Skills
While not required, these will make your profile even stronger:
- Experience supporting performance marketing teams
- Familiarity with attribution approaches such as:
- Last-click
- Multi-touch attribution (MTA)
- Probabilistic vs deterministic attribution
- Knowledge of privacy frameworks such as:
- SKAN (SKAdNetwork)
- ATT (App Tracking Transparency)
- Privacy Sandbox
- Experience with mobile attribution tools like:
- AppsFlyer
- Adjust
- Branch
- Experience with:
- Experimentation systems
- A/B testing frameworks
- Background in:
- Consumer products
- Marketplaces
- E-commerce
- Basic Python or scripting for automation
Tech Stack You’ll Work With
This role gives you direct exposure to a strong modern growth + analytics stack:
- Google Tag Manager (GTM)
- Google Ads
- Meta Ads
- TikTok Ads
- BigQuery
- Metabase
- Amplitude
- Stripe
- SQL
- Google Cloud Platform (GCP)
That stack makes it especially attractive for candidates who enjoy the overlap between marketing systems and warehouse-driven analytics.
Compensation & Benefits
While the exact salary is not listed, the company highlights a compelling compensation package:
- Competitive base salary
- Bonus program
- Equity (with meaningful ownership)
- High autonomy in a high-growth environment
For candidates who care about long-term upside, the equity component is particularly notable.
How to Apply
If you are interested in this role Apply now
Click Here to APPLY NOW
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