Data Scientist, Product
AI platform for creating, deploying, and managing full-stack software through natural-language interaction.
Maintainer signals as of 9/25/2026
Funding history
About Lovable
Lovable lets people describe an idea in plain language and collaboratively build production-grade software. Its platform includes hosting, authentication, payments, integrations, security features, and deployment infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own the metrics for a product area, identify user drop-off points, and turn insights into product bets that ship. Build instrumentation, semantic models, experiments, and proactive systems while maintaining trusted data quality, definitions, and lineage.
Requirements
- Strong SQL and Python
- Applied statistics
- Experimentation, including A/B and growth testing
- Understanding of user behavior, activation, engagement, and retention
- Ability to build instrumentation, metrics, and agents
- Ability to provide directional answers quickly and apply rigor when needed
- Entrepreneurial approach
- Ability to work with product and engineering teams
Responsibilities
- Own metrics and funnels for a product area
- Drive measurable improvement in activation, engagement, and retention
- Identify opportunities in user behavior and turn them into product bets
- Work with product managers and engineers to ship product bets
- Design and run experiments and act on the results
- Build instrumentation, semantic models, and agents
- Maintain data quality, definitions, and lineage
Hiring Process
1. Short form and introductory call with recruiting. 2. Hiring team call. 3. Take-home case study. 4. Most Impressive Project session. 5. Cross-functional interviews. 6. Final conversation with leadership.
