The opportunity
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
What you'll do
Design, evaluate, and ship AI-powered internal tools for GTM use cases: including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.
Proven track record of applied data science with measurable GTM impact: you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
What they're looking for
- LLM/ML application experience: familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
- Excellent SQL skills and fluency in Python or R, with experience applying: analytical and statistical methods to business problems.
- Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
- Strong communication and empathy: ability to translate complex data concepts for non-technical stakeholders.
