Senior Data Engineer, GTM

Role Overview

As a Senior Data Engineer, you will own and architect the foundational infrastructure that transforms unstructured customer feedback into quantified strategic assets. You will help us move towards scalable, automated pipelines that integrate sales transcripts with critical Business Intelligence (BI).

What You Will Do

Design and maintain pipelines to ingest, clean, and process massive volumes of unstructured data, including business transcripts and support cases, into reliable analytical datasets. Implement automated monitoring, alerting, and rigorous data quality checks to guarantee the security, reliability, and governance of high-stakes analytical assets.

Why It Might Be a Fit

You will pioneer our transition towards more flexible workflows, developing the core infrastructure and platforms that multiply our data science team’s capacity, agility, and impact through end-to-end delivery of production-ready solutions.

Requirements

• Bachelor’s degree or equivalent practical experience
• 5 years of experience coding in Python and SQL
• 5 years of experience working with machine learning operations (MLOps) and large language model operations (LLMOps) principles and data infrastructure
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing unstructured text data for machine learning (ML) workflows

Benefits

• bonus
• equity
• benefits