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Uber Senior Technical Program Manager - ML & AI 
United States, West Virginia 
224289208

24.06.2024

You move fluidly from the big picture to the details so that the team can deliver complex and strategic cross-functional projects, often with tight deadlines. You are a bridge and a connector for the company. You are intuitive, focused, driven, organized, insightful, and productive. You break through communication issues and effectively develop relationships with stakeholders at all levels of the organization. You build trust across the organization. You are not afraid to be direct, but you strive to act with empathy and integrity. Following are some of the core responsibilities of TPMs at Uber:

  • Manage complex and large-scale cross-team, cross-functional initiatives. Interface with engineering managers and engineers to estimate work efforts, define milestones, and manage resources. Track progress, resolve dependencies, evaluate risks, and communicate status to upper management and program stakeholders. Engage and energize ‌project teams to achieve aggressive goals.
  • Proactively remove obstacles to drive momentum and progress. Identify communication gaps, manage issue escalations, and provide support to teams balancing competing priorities. Drive results proactively.
  • Understand technical implementation at the architecture level and propose technical alternatives when necessary. Ask questions that clarify priorities and push the team to be highly effective. Develop broad domain and technical knowledge.

Understand product compromises. Have the end customer in mind and be able to bridge between end customer and technical aspects with a data-driven approach to increase our efficiency.

  • Help manage the cross-functional strategic planning and business planning process, leading conversations with key stakeholders to develop concepts for strategic initiatives, and developing those into detailed program / project plans (including roadmaps, funding planning, resource planning, clear Objectives, measurable outcomes, and hiring goals).
  • Continuously improve and scale the organization. Implement continuous improvements to the engineering organization and the program management process. Share program/project process frameworks, tools, and best practices that can be adopted throughout the organization. Improve product development and delivery. Mentor project management skills within our engineering leadership team.
Basic Qualifications
  • Bachelor's degree or equivalent experience in Computer Science, Engineering, or equivalent practical experience.
  • Demonstrated ability as a TPM or Engineering Manager in a software, SaaS, or systems development environment
  • Strong technical experience in one or more of large-scale compute infrastructure, storage technologies, data lake systems, Reliability, Cloud infrastructure, and ML/AI infrastructure
  • Solid technical capability and an ability to understand technical designs, challenges, and risks. Engineers enjoy working closely with you.
  • Excellent written and verbal communication skills and exceptional emotional intelligence.
  • Shown strong cross-team and cross-org stakeholder management.
  • Analytical and truth-seeking. Ability to understand complex concepts and make reasoned decisions objectively.
  • Metrics-driven: Experience resolving effective program critical metrics and using them to measure program success and issues.
  • Strong organizational skills to juggle many tasks without losing sight of the highest priority items.
  • Excellent in identifying process gaps, measuring progress, and balancing engineering and product efficiency with process overhead.

Additional Qualifications (i.e. Nice to-haves)

  • Strong technical, analytical, and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions.
  • Solid background in systems engineering, hardware/Linux OS/kernel knowledge.
  • Strong experience in multi-cloud infrastructure systems.
  • Strong software development and distributed systems experience.
  • Strong understanding of AI/MLOps workflow and processes

Computer Science degree, or related field.

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