Uber Senior Product Manager Partnerships 

United States, West Virginia 

647944589

What You Will Do

• Program Development and Execution: Design and implement comprehensive MT and LLM programs that serve both Uber's internal operations and our external clients, ensuring these programs support our global communication and localization strategies effectively.
• Integration and Technical Liaison: Build seamless integration points between Uber’s internal services and tools, connecting them to our MT/LLM pipeline. Act as a technical liaison for customers and external clients, gathering requirements and discussing potential integration points to optimize our MT/LLM pipeline’s efficiency and utility.
• Best Practices and Guidelines: Establish and define MT-only and MT + LLM best practices for all clients, whether new or existing, to ensure consistency, quality, and efficiency in our localization efforts.
• Model Selection and Evaluation: Work closely with Localization Operations (LocOps) and ML/LLM/AI engineers to select, evaluate, analyze, train, and deploy the most effective MT and LLM models. Your goal will be to enhance both internal and external localization processes.

What You’ll Need

• Bachelor’s degree in Computer Science or related field

• 2+ years running MT/ML/AI programs and 1+ year in localization within the high-tech industry (client or vendor side)

• Strong understanding of MT engines, LLM models (size, cost, training, use cases), NLP, and computational aspects

• Proficiency in scripting languages (Python, Perl, Go, Ruby, Postman, SQL) - strong Python is required

• Ability to streamline processes, optimize workflows, and navigate ambiguity with minimal guidance

• Solid grasp of localization operations and internationalization processes

• Strong analytical, problem-solving, and business judgment skills

• High attention to detail, quality-focused, proactive, and a team player

• Excellent communication skills and ability to manage internal and external stakeholders

• Passion for Uber’s mission and a self-directed, initiative-driven approach

• English Proficiency

Bonus Points

• 3+ years AI/ML experience leading MT/LLM programs on the client side

• Experience pre-training and fine-tuning multilingual LLMs using few-shot learning, RAG, or similar techniques

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .