About the role and team - - Uber is a place where digital systems meet the physical world, and our Localization Team is at the center of that intersection. As a Senior Localization Operations Program Manager for ML and Gen. AI, you will lead the evolution of our multilingual operations, transforming how Uber speaks to millions of users across the globe. This isn't just about managing translations; it’s about building the production-grade infrastructure that integrates Machine Translation and Large Language Models into the very fabric of our global platform. The work is fast-paced, highly technical, and often ambiguous as we navigate the cutting edge of AI-driven language systems. You will need to balance the "perfect" with the "practical," making critical trade-offs between quality, latency, and cost in a high-stakes environment. We are looking for a systems-thinker who is energized by the challenge of moving experimental capabilities into reliable production workflows and who possesses the grit to unblock complex cross-functional hurdles. If you thrive on owning end-to-end impact and want to shape the future of global communication at scale, this is where you’ll grow. - - What you’ll do - - - Design, build, and scale end-to-end localization workflows that integrate CMS, TMS, and ML/ LLM systems to support Uber’s global movement. - Evaluate and operationalize MT and LLM solutions across high and low-resource languages, leveraging GCP services like Vertex AI and Big. Query to balance performance with cost. - Partner closely with Engineering and ML - Ops to translate experimental AI capabilities into production-grade systems, including model hosting, monitoring, and lifecycle management. - Navigate complex trade-offs between translation quality, turnaround time, and infrastructure costs, providing data-driven recommendations to leadership. - Lead cross-functional initiatives across global time zones, aligning Product, Data, and Vendor teams to ensure seamless execution and guardrail implementation. - Drive continuous improvement by establishing quality frameworks that combine automated metrics like COMET or BLEU with structured human evaluation. - - Basic Qualifications - - - Bachelor’s degree in Computer Science, Engineering, Linguistics, or a related field; or 4 years of equivalent professional experience. - 4 years of experience in localization operations (CMS/ TMS) within a technology or platform environment. - 2 years of experience working directly with MT, LLM, or ML-driven language systems in a production setting. - Experience managing end-to-end technical programs, including scoping, risk management, and cross-functional stakeholder alignment. - Working knowledge of Google Cloud Platform (GCP) or similar cloud services, including Vertex AI, Auto. ML, or Big. Query. - - Preferred Qualifications - - - 3 years of experience leading large-scale MT/ LLM transformation programs. - Hands-on experience fine-tuning LL - Ms for multilingual use cases or implementing RAG pipelines for grounded translation. - Proficiency in Python scripting or API integration to automate data flows and reduce operational overhead. - Demonstrated ability to build data dashboards that track model performance, throughput, and cost-per-word metrics. - Proven track record of navigating high-ambiguity environments and building frameworks for unique technical challenges. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.