Staff Data Engineer: GTM Data & AI Enrichment

United States Digital Space LLC; Dublin; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and equity in afast

Lunch every weekday and fully stocked…

Regular compensation reviews

Unlimited access to Claude Code and AI

Pension scheme & match up to 4%

Life and health insurance

Flexible paid time off

Job summary

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin powers endless, high-quality customer support across service, sales, and ecommerce with minimal setup.

This data engineering role sits in the GTM data team, building the account/data foundations, entity-resolution, and enrichment pipelines powering Salesforce, Marketo, and the wider GTM stack, using dbt, Snowflake, and Airflow, with LLM-enabled tooling.

Qualifications

• Interest in growing the business and affinity for GTM teams.
• Experience with the modern data stack: dbt, Snowflake, and Airflow.
• Experience building with LLMs in production: prompt design and tool calls.
• Experience with entity resolution and deduplication problems.
• Hands-on integration with Salesforce and other SaaS APIs.

Responsibilities

• Owning account identity: build entity-resolution and dedupe pipelines.
• Modelling account hierarchy and parent relationships.
• Building account sourcing and enrichment pipelines for CRM-ready lists.
• Building contact sourcing and enrichment pipelines and privacy compliance.
• Building LLM-powered enrichment and cross-provider data gathering.
• Making the data usable in dbt models and syncing to Salesforce/Marketo/Clay.

Skills

GTM mindset

Cross-functional collaboration

Data-driven decision making

LLM integration

Tools

dbt

Snowflake

Airflow

Salesforce

Job description

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin powers endless, high-quality customer support across service, sales, and ecommerce with minimal setup.

This data engineering role sits in the GTM data team, building the account/data foundations, entity-resolution, and enrichment pipelines powering Salesforce, Marketo, and the wider GTM stack, using dbt, Snowflake, and Airflow, with LLM-enabled tooling.