Senior Data Scientist - AI Tooling
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The role
Design, evaluate, and ship AI-powered internal tools for GTM use cases—including account research and summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
Own the full lifecycle from problem definition and data modeling to building production-ready tools with Python backends and React frontends.
Prototype fast and ship to learn: rapidly build with users, then productionize quickly to iterate and deliver impact.
Instrument for adoption and outcomes by defining success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
Evangelize and enable by documenting playbooks, running enablement sessions, and helping leaders operationalize new tooling across teams.
Collaborate closely with Sales and Success to turn ambiguity into clear deliverables and drive GTM impact.
Own the full lifecycle from problem definition and data modeling to building production-ready tools with Python backends and React frontends.
Prototype fast and ship to learn: rapidly build with users, then productionize quickly to iterate and deliver impact.
Instrument for adoption and outcomes by defining success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
Evangelize and enable by documenting playbooks, running enablement sessions, and helping leaders operationalize new tooling across teams.
Collaborate closely with Sales and Success to turn ambiguity into clear deliverables and drive GTM impact.
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