Senior AI Tooling Scientist for GTM Impact

FDE Times; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Salesforce Fin is seeking a data scientist to design and deliver AI-powered internal tools for GTM use cases, including account research, summaries, and renewal risk detection. You will build end-to-end solutions with Python backends and React frontends, rapidly prototyping with users and productionizing to drive measurable business impact.

The role focuses on translating complex data into actionable outputs, collaborating with Sales and Success teams, and validating outcomes through real usage

Qualifications

• Shipped models or tools with GTM impact (improved conversion, cycle time, or retention)
• Experience with LLMs, RAG, prompt and tool design, vector search
• Excellent SQL skills and Python or R for data problems
• Experience with orchestration tools (DBT, Airflow) for data workflows
• Strong communication and empathy to translate data for non-technical stakeholders
• Collaborative product mindset with Sales and Success teams to turn ambiguity into deliverables

Responsibilities

• Design, evaluate, and ship AI-powered internal tools for GTM use cases (account research, summaries, next-best-action, renewal propensity, pipeline risk)
• Own the full lifecycle: problem definition, data modeling, production-ready tools (Python backends, React frontends)
• Prototype quickly with users, productionize to iterate impact
• Measure success by real usage and business impact (win rate, conversion, expansion)
• Document playbooks, run enablement sessions, and help adoption across teams

Skills

Applied data science

LLM/ML applications

SQL

Python

R

Communication & empathy

Collaborative mindset

Tools

DBT

Airflow

React

Job description

Salesforce Fin is seeking a data scientist to design and deliver AI-powered internal tools for GTM use cases, including account research, summaries, and renewal risk detection. You will build end-to-end solutions with Python backends and React frontends, rapidly prototyping with users and productionizing to drive measurable business impact.

The role focuses on translating complex data into actionable outputs, collaborating with Sales and Success teams, and validating outcomes through real usage