The opportunity
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
What you'll do
Own and Evolve the Revenue Engine: Build and maintain predictive models for usage-based revenue, renewals, and expansion that outperform traditional linear forecasts.
Unlock Predictive Insights: Develop propensity models to identify expansion opportunities and churn risks before they materialize in the ledger.
Architect Finance Data: Design and maintain curated datasets that serve as the single source of truth.
Model Customer Value: Define and iterate on our LTV frameworks, providing a clear linkage between product engagement and long-term financial outcomes.
Build and own probabilistic and time-series models that project ARR: performance across renewals and usage-based motions.
Incorporate behavioral signals, such as product adoption, seat utilization,: and feature engagement, into expansion propensity and LTV frameworks .
What they're looking for
- Design models that account for cohort dynamics, seasonality, and product-led growth (PLG) signals.
- Evaluate model performance through backtesting and iteration , ensuring our: "financial weather forecast" is constantly improving.
- Own the end-to-end data pipeline for finance, transforming raw product usage: and billing data into curated, model-ready datasets in our data warehouse.
- Write and optimize production-quality SQL and Python to work with large-scale: datasets and automate complex FP&A workflows.
