GTM Engineer (Applied AI) – AI-Powered Sales Tools

Fin. The highest performing Customer Agent; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working policy

Job summary

Fin, now part of Salesforce, is hiring a GTM Engineer (Applied AI) to own end-to-end business problems from concept to production. Location: Dublin or London. You’ll build AI-powered sales and success tools, design data models, and measure impact across conversion and retention.

The role blends back-end, data, and frontend work with a strong emphasis on practical results. We value 4+ years building production software or AI data products, hands-on evaluation, and excellent Python/SQL skills.

Qualifications

• 4+ years building production software, applied AI systems or data products.
• Built LLM-powered applications or agents that real users rely on.
• Improved an AI system after launch using traces, user feedback, evals or experiments.
• Hands-on evaluation experience, such as building regression tests and grading output with humans or models.
• Strong Python and SQL. You're comfortable designing APIs and data models.
• You can measure impact with rigour and tell whether a metric moved because of your change.
• Product judgment. You can sit with a sales rep, work out what they need, and decide what to build first.
• You use AI coding tools heavily and know how to get reliable work out of them.

Responsibilities

• Build and ship AI agents and LLM-powered tools for Sales and Success, such as account research, call prep, post-call follow-up, renewal risk and pipeline review.
• Own the full stack: Python backends and APIs, data models in Snowflake, feedback pipelines, and React frontends where a tool needs one.
• Instrument what you build. Trace agent actions, tool calls, failures and the edits reps make to agent output, so you can see where quality breaks down.
• Set the quality bar with the people who use the tools. Build evaluation sets, grade output with human and model graders, and run regression tests and production monitoring.
• Diagnose weak results across context, data, tools, prompts and workflow design. Test the fix on replays of past traffic before it ships.
• Decide what an agent can do on its own and where a rep reviews its work first, and build the guardrails and review steps to match.
• Measure adoption and business impact on conversion, win rate, cycle time and retention. Use experiments and staged rollouts where you can.
• Get tools into teams' hands. Write the playbook, run the enablement session, and work with sales leaders so the tool becomes part of how their team works.

Skills

Production software

Applied AI systems

LLM-powered apps

Evaluation & testing

Python

SQL

Impact measurement

Product judgment

AI tooling

Tools

dbt

Airflow

Job description

Fin, now part of Salesforce, is hiring a GTM Engineer (Applied AI) to own end-to-end business problems from concept to production. Location: Dublin or London. You’ll build AI-powered sales and success tools, design data models, and measure impact across conversion and retention.

The role blends back-end, data, and frontend work with a strong emphasis on practical results. We value 4+ years building production software or AI data products, hands-on evaluation, and excellent Python/SQL skills.