About This Role
As a Technical Program Manager (TPM) at Uber, you play a critical role in executing high-impact org-wide initiatives and continuously improving processes to increase the effectiveness of our engineering organizations.
You are going to be a part of our Platform Engineering TPM team at Uber;
Platform Engineering encompasses organizations spanning Infrastructure Foundations (both On Prem and Cloud), Compute, Network, Storage, Data, ML/AI, Security, and more. We provide the platforms, tools, and abstractions that our developers across Uber leverage to build world-class products and deliver magical experiences to our end customers.
As a TPM in this role, this specific role is to support Uber's Artificial Intelligence and Machine Learning platform (Michelangelo), which builds the platforms, tools, and processes to deliver Uber's ML capabilities.
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We are looking for a skilled TPM who can support AI/ML at Uber, driving technically complex programs while working in tandem with data scientists, machine learning engineers, product managers, and engineering leadership. This individual will help identify areas of investment, manage tradeoffs, drive excellence, and ensure efficient execution of key deliverables. ML is a key area of investment for Uber, with significant visibility and impact!
What we will need you to do?
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.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*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 accommodations@uber.com.