Replit is looking to optimize its marketing efforts, improve conversion funnels, and drive sustainable revenue growth by leveraging user behavior insights.
Requirements
- Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt
- Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
- Experience designing and analyzing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.
- Experience building dashboards and visualizations (Looker, Tableau, Mode, or similar tools).
- Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.).
- Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.).
- Experience with attribution modeling, marketing mix modeling, or incrementality testing.
Responsibilities
- Design and analyze marketing experiments to optimize campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.
- Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.
- Develop predictive models to identify high-intent prospects, optimize lead scoring, and improve targeting for paid acquisition campaigns.
- Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.
- Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.
- Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.
- Analyze cohort behavior and retention patterns to optimize lifecycle marketing campaigns and reduce churn.
Other
- 2-4 years of experience in data science, analytics, or related roles with a focus on marketing, growth, or business analytics.
- Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.
- Background in growth analytics, marketing analytics, or conversion rate optimization at a SaaS or PLG company.
- Understanding of PLG (product-led growth) motions and self-serve conversion funnels.
- This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
