Staff Data & AI Engineer

About Jobgether

Jobgether is a platform that connects job seekers with remote job opportunities.

Job Summary

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data & AI Engineer in Ireland. This role offers the opportunity to design and implement advanced data and AI solutions that directly enhance sales effectiveness and revenue growth. You will work in a fully remote, collaborative environment, building production-grade data pipelines, AI-powered applications, and analytics systems that transform raw signals into actionable insights for go-to-market teams.

Key Responsibilities

• Build and maintain production-grade data pipelines capturing signals from community engagement, product usage, social platforms, and third-party tools.
• Develop AI-powered applications to automate sales workflows, personalize outreach, and provide actionable insights for go-to-market teams.
• Maintain the data infrastructure and analytics backbone, ensuring seamless integration between CRM systems, data warehouses, and enrichment providers.
• Design, prototype, and deploy agentic AI solutions, predictive models, and scoring systems to optimize lead prioritization, pipeline forecasting, and GTM execution.
• Translate complex sales workflows and business requirements into scalable technical solutions.
• Develop dashboards, reporting systems, and measurement frameworks to track adoption, productivity, and revenue impact.
• Ship internal tools such as Slack bots, Chrome extensions, enrichment workflows, and AI research assistants that enhance daily sales operations.
• Collaborate closely with Sales, RevOps, and Special Projects teams to align solutions with strategic priorities and operational needs.

Requirements

• Strong proficiency in Python for AI/ML applications, API integrations, and data manipulation (pandas, polars) with experience in LLM libraries (OpenAI, Anthropic, LangChain, etc.).
• Advanced SQL and data modeling skills, including experience designing dimensional models, dbt projects, and complex analytical queries.
• Hands-on experience shipping AI applications or agent frameworks and deploying multi-agent systems is highly preferred.
• Familiarity with modern data tooling: data warehouses (Snowflake, BigQuery, Redshift), orchestration tools (Airflow, Dagster), BI platforms (Looker, Tableau, Hex), and enrichment tools.
• Deep understanding of GTM operations, including sales workflows, lead scoring, pipeline analytics, and territory planning.
• Strong systems thinking, with the ability to…