Join Supabase's Data Intelligence team and build the measurement foundation for paid and PLG channels — attribution, incrementality testing, media mix modeling and forecasting — moving past platform metrics to causal answers about pipeline and revenue.
What you'll do
- Own the end-to-end marketing measurement strategy across experimentation, media mix modeling and attribution
- Establish and evolve the attribution framework across platform data, multi-touch attribution, MMM and experiments
- Translate measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue and efficiency targets
- Design and run always-on incrementality tests, user-level and geo-level, and calculate incremental lift and ROAS/CPA
- Build and maintain media mix models using historical data, seasonality, adstock and saturation effects
- Build self-serve analytics context: metric definitions, model documentation and reusable analysis patterns
Requirements
- 6+ years in marketing analytics, data science or a related role, focused on performance marketing and/or PLG growth
- Deep understanding of marketing attribution, incrementality testing and media mix modeling
- Advanced SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling
- Hands-on experience designing, running and interpreting experiments across search, social, display, email and in-product channels
- Experience building or working closely with MMM and/or advanced attribution models
- Strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance
- AI-forward in how you work, using LLMs and AI tooling habitually
- Clear communication to non-technical stakeholders; thrives in async, autonomous environments
Benefits
- Fully remote — Supabase hires globally, with a WeWork membership or co-working allowance anywhere in the world
- ESOP equity ownership for every team member
- Tech allowance for laptop, monitor, headphones and home setup
- 100% health insurance for employees and 80% for dependents, wherever you are
- Annual company off-sites and annual education allowance
Never pay to apply. If anyone asks for payment, a deposit or training fees for this role, it is a scam.
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