Create AI art, images, videos and music online for free. 100+ models from Google, OpenAI, Seedance & more. — all in one place. Trusted by 8M+ creators. Start in seconds. Backed by Basis Set Ventures.
About the role
We're looking for a Product Data Scientist focused on growth and retention to be the analytical partner PMs and engineers rely on when they ship changes to OpenArt's product experience. This role sits at the intersection of experimentation, product analytics, and growth strategy . Your primary job is to turn data into product decisions that move the funnel — activation, conversion, monetization, and retention — through rigorous A/B testing and sharp behavioral insights. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3–6 years of experience in data science or analytics supporting product, growth, or lifecycle teams (level and title flex based on candidate)
- Solid A/B testing depth. You've designed, run, and analyzed a lot of experiments
- Strong SQL and Python — comfortable working with data end-to-end without hand-holding
More about this role
🎨 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.
Ride an inflection point. OpenArt has grown 7–10X in revenue over the past 2 years in one of the hottest categories in tech. Every experiment you run compounds against a steep trajectory.
Own the experimentation practice — you'll be the person who defines how OpenArt tests, learns, and ships product changes with real statistical rigor.
Direct impact on the funnel. Your work will shape activation, conversion, monetization, and retention for millions of creators.
Meaningful equity, real upside at an early-stage company with strong momentum.
Cross-functional partnership with Product, Design, Engineering, and Data team.
Build from 0 → 1. Experimentation infrastructure, growth measurement, and retention frameworks are being laid down now — you'll shape them.
High ownership, low process, fast iteration...
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