Senior Data Engineer, GTM

Google – Mountain View, CA, USA; Chicago, IL, USA; +2 more Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA; Chicago, IL; New York, NY; Irvine, CA. 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. Preferred qualifications: 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. About the job gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google’s Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users. As a part of the Go-to-Market (GTM), you will serve as the intelligence partner for product teams, transforming massive volumes of unstructured conversational data into quantified, trusted insights that bridge the gap between customer feedback and product decisions, a high-visibility initiative critical for accelerating the Ads product adoption flywheel and shaping GTM strategy for priority products. 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 toward scalable, automated pipelines that integrate sales transcripts with critical Business Intelligence (BI). You will pioneer our transition toward 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $156000 - $227000 (USD) + 15% bonus target + bonus + equity + benefits. Learn more about benefits at Google. Design and maintain pipelines to ingest, clean, and process massive volumes of unstructured data, including business transcripts and support cases, 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, significantly reducing operational friction and enhancing team productivity. Manage and optimize embedding workflows using TensorFlow and Tensor Processing Units (TPUs), ensuring efficient processing that bypasses standard API constraints for high-volume data. Implement automated monitoring, alerting, and rigorous data quality checks to guarantee the security, reliability, and governance of high-stakes analytical assets. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. 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