Program Manager II, Tech - Program Management; Tech
Job in
Sunnyvale, Santa Clara County, California, 94087, USA
Listed on 2026-10-11
Listing for:
Uber Technologies Inc.
Full Time
position Listed on 2026-10-11
Job specializations:
-
IT/Tech
Business Systems & Technology Analysis, Change Management -
Business
Business Systems & Technology Analysis, Change Management
Job Description & How to Apply Below
The Program Manager, Tech leads complex programs that bridge technical vision and operational execution. This role focuses on the "how" of technical delivery- scaling systems like AI/ML human-in-the-loop workflows or global supply chains by navigating high-ambiguity environments and maintaining disciplined operational excellence.
What You’ll Do- Program Orchestration:
Lead the end-to-end lifecycle of technical programs, focusing on strategic scoping, stakeholder alignment, and operational execution. - Operational Design:
Develop and implement scalable data pipelines and Standard Operating Procedures (SOPs) to enhance technical velocity and quality. - Cross-Functional Alignment:
Partner with Engineering, Product, and Data Science to resolve operational blockers and ensure seamless milestone delivery. - Governance & Risk:
Oversee global vendor performance and identify systemic process gaps, driving continuous improvement in program capability.
- 3+ years of experience in program management, technical operations, or data-driven project management.
- Proficiency in SQL and data analysis (e.g., Excel/Google Sheets) to conduct root-cause analysis and justify program spend.
- Documented experience independently leading the full lifecycle of at least two large-scale technical initiatives from inception to deployment.
- Bachelor’s degree in a technical or business field (or 4 years of additional relevant experience in lieu of a degree).
- Proven ability to resolve scope misalignments and dependencies across cross-functional work streams.
- Master’s degree, PMP, or Lean Six Sigma certification.
- Experience in AI/ML operations, autonomous systems, or global localization.
- Experience building automated dashboards or feedback loops to measure team effectiveness.
- Aptitude for deconstructing complex problems and making data-driven decisions in high-ambiguity, fast-paced environments.
- Ability to work across global time zones and perform stationary, screen-based tasks for extended periods.
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