GlossGenius seeks a Senior Data Engineer to serve as the intelligence partner for our product teams. You will architect the foundational infrastructure that transforms massive volumes of unstructured conversational data into quantified, trusted insights, bridging the gap between customer feedback and product decisions. Your work will pioneer flexible workflows that multiply our data science team's capacity and impact.
What You'll Do
- Design and maintain pipelines to ingest, clean, and process massive volumes of unstructured data into reliable analytical datasets.
- Architect and deploy advanced platforms and tooling that empower the team to leverage autonomous AI agents and Large Language Models (LLMs) for intelligent routing and automated insights.
- Develop internal libraries and self-serve frameworks that streamline Natural Language Processing (NLP) and causal analysis, enhancing team productivity.
- Manage and optimize large-scale embedding workflows using TensorFlow and Tensor Processing Units (TPUs) for high-volume data processing.
- Implement automated monitoring, alerting, and rigorous data quality checks to guarantee the security, reliability, and governance of high-stakes analytical assets.
What We're Looking For
- 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, including deploying text processing and embedding pipelines.
- 5 years of experience designing and deploying data pipelines, including managing data schemas and processing unstructured text data for machine learning (ML) workflows.
Nice to Have
- Experience with data schemas.
- Experience with Google Colaboratory (Colab), TensorFlow, Tensor Processing Units (TPUs), and agentic tools and platforms for processing unstructured text data.
- Experience with LLM orchestration and agentic infrastructure.
- Proficiency in SQL and Python.
- Understanding of MLOps/LLMOps principles to ensure the scalable and reliable deployment of text processing and embedding pipelines.
Technical Stack
- Python
- SQL
- TensorFlow
- TPUs
- Google Colab
Team & Environment
You'll join a team within the Go-to-Market (GTM) organization serving as the intelligence partner for product teams.
Benefits & Compensation
- Bonus
- Equity
- Benefits
- Compensation: $156,000-$226,000 + equity
Work Mode
This role is based in one of our local offices: Mountain View, CA; Chicago, IL; Irvine, CA; or New York, NY.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
