Staff Data Engineer - GTM

About the role

The role sits in Fin’s Data group and owns the foundational account and contact data used by GTM teams. You will build and run entity‑resolution, hierarchy, sourcing and LLM‑enrichment pipelines, model the data in dbt/Snowflake with Airflow orchestration, ensure quality and trust, and partner directly with Sales, Marketing, Partnerships, RevOps and Finance to enable efficient growth.

About the company

Fin is an AI Customer Agent company founded in 2011 that helps businesses deliver perfect, always‑on customer experiences across service, sales and ecommerce. Powered by its own AI models, Fin serves nearly 30,000 global businesses and is one of the largest private software firms, driven by speed, boundary‑pushing, and delivering value.

Requirements

• Genuine interest in business growth and affinity for GTM teams; curiosity about sales/marketing and motivation by commercial outcomes
• Experience with the modern data stack: dbt, a cloud warehouse (Snowflake) and a DAG orchestrator (Airflow)
• Production experience building with LLMs: prompt design, evaluation, tool/function calling, web search/crawling, cost and latency control
• Experience with entity resolution, identity or deduplication problems and managing precision/recall trade‑offs
• Hands‑on experience integrating with SaaS APIs and business systems, especially Salesforce (read/write)
• Strong communication skills to explain technical concepts to both executives and engineers
• Growth mindset and eagerness to learn in a fast‑changing tooling space
• Nice to have: Experience with GTM data vendors/tooling such as ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census/Fivetran, Gong
• Nice to have: Experience with territory design, account scoring, propensity models or ICP definition
• Nice to have: Exposure to privacy and compliance considerations around contact data (GDPR, CCPA, consent management)