Staff Data Engineer - GTM (AI)

Location: Hybrid in Dublin, Ireland or London, England; employees are expected to be in the office at least three days per week.

Company

hirify.global develops Fin, an AI Customer Agent and integrated help desk platform for customer support, sales, and ecommerce teams.

What you will do

• Build and improve entity-resolution, confidence-scoring, merge, and deduplication pipelines for account identity.
• Design account hierarchies connecting accounts with parent, operating parent, and ultimate corporate parent organizations.
• Develop ranked, deduplicated account-sourcing pipelines and deliver CRM-ready accounts with ownership and metadata in Salesforce.
• Build contact-sourcing and enrichment pipelines while respecting privacy and consent requirements.
• Extend LLM-powered enrichment using prompt evaluation, web search, crawling, and multiple model providers.
• Model and test data in dbt and Snowflake, orchestrate workflows with Airflow, synchronize data across Salesforce, Marketo, Clay, and other GTM tools, and monitor quality.

Requirements

• Experience with dbt, a cloud data warehouse such as Snowflake, and a DAG orchestrator such as Airflow.
• Production experience building with LLMs, including prompt design and evaluation, tool or function calling, web search, crawling, and cost and latency control.
• Experience solving entity-resolution, identity, or deduplication problems and evaluating precision/recall trade-offs.
• Hands-on experience integrating SaaS APIs and business systems, especially Salesforce.
• Strong communication skills for explaining data decisions to both commercial and engineering stakeholders.
• Curiosity about sales and marketing operations, commercial outcomes, and rapidly changing data tooling.

Nice to have

• Experience with GTM data vendors and tools such as ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census, Fivetran, or Gong.
• Experience with territory design, account scoring, propensity models, or ICP definition.
• Exposure to GDPR, CCPA, consent management, and other privacy considerations for contact data.

Culture & Benefits

• Hybrid working policy combining office collaboration with flexibility to work from home.
• Competitive salary, equity, regular compensation reviews, and a pension scheme with matching up to 4%.
• Health and dental insurance, life assurance, flexible paid time off, paid maternity leave, and six weeks of paternity leave.
• Weekday lunch, snacks, a stocked kitchen, cycle-to-work support, and secure bike storage.
• Unlimited access to Claude Code and other AI tools, with experimentation and building encouraged.
• MacBooks are standard, with Windows available for certain roles when needed.