Senior Localization Program Manager, Multilingual AI

Uber

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Work type
On-site
Location
Sunnyvale, CA
Posted
25 days ago

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Similar $214k
$165k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $181,962–$246,150.

Based on 240 similar postings.

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About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 45 open roles on FindRole.

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TL;DR · Senior Localization Program Manager, Multilingual AI

As a Senior Localization Program Manager at Uber in Sunnyvale, California, you will lead the integration of Machine Translation and Large Language Models into the company’s global platform, transforming how Uber communicates with its diverse user base. Your role involves designing and scaling end-to-end localization workflows that integrate content management systems (CMS), translation management systems (TMS), and ML/LLM technologies to support Uber’s multilingual operations. You will evaluate and operationalize MT and LLM solutions across various languages, leveraging Google Cloud Platform services like Vertex AI and BigQuery to optimize performance while managing costs. Additionally, you will partner with Engineering and MLOps teams to translate experimental AI capabilities into production systems, navigate complex trade-offs between quality, latency, and cost, and lead cross-functional initiatives across global time zones. This role requires expertise in localization operations, experience with MT/LLM systems, proficiency in Python scripting or API integration, and a strong understanding of cloud services like GCP.

What you'll do

  • Design and scale end-to-end localization workflows integrating CMS, TMS, ML/LLM systems.
  • Evaluate and operationalize MT and LLM solutions across languages using GCP services.
  • Translate experimental AI capabilities into production-grade systems with Engineering and MLOps.
  • Navigate trade-offs between translation quality, turnaround time, and infrastructure costs.
  • Lead cross-functional initiatives to align Product, Data, and Vendor teams globally.
  • Drive continuous improvement by establishing quality frameworks combining automated metrics.

What we're looking for

  • 4+ years of experience in localization operations within a technology environment.
  • 2+ years of hands-on experience with MT and LLM systems in production settings.
  • Strong ability to manage end-to-end technical programs, including risk management.
  • Experience evaluating and operationalizing ML/LLM solutions across various languages.
  • Working knowledge of Google Cloud Platform (GCP) services like Vertex AI and BigQuery.

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