Uber
Central Enablement Program Lead AV
$130K–$180K
Phoenix, Arizona +1 · Full-time · Posted Aug 27, 2026
- Location
- Phoenix, Arizona
San Francisco, California - Experience
- Minimum 5 years in a related field; preferred 8+ years. Posting also states 2+ years working in the AV industry as preferred, while separately requiring direct AV or autonomous mobility industry experience without specifying years.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads Uber’s autonomous-vehicle enablement and quality portfolio, setting strategy and delivering programs that improve operational readiness, performance, and customer experience.
What you'll do
- Set the enablement and quality strategy, governance, and roadmap for the AV business portfolio.
- Lead global initiatives and a team of Enablement Program Specialists, partnering with executives and cross-functional teams to deliver measurable outcomes.
- Use quality insights, analytics, and AI-enabled approaches to improve learning, operations, and customer experience.
What they ask for
- Bachelor's degree or equivalent practical experience.
- Minimum 5 years of experience in Enablement, Learning & Development, Quality, Talent Development, Program Management, Consulting, or related fields.
- Direct experience in the autonomous vehicle (AV) or autonomous mobility industry is required.
- Strategic leadership, executive stakeholder management, portfolio prioritization, and operational excellence.
Nice to have
- 8+ years of experience in Enablement, Learning & Development, Quality, Talent Development, Program Management, Consulting, or related fields.
- 2+ years of practical experience selecting, deploying, or managing AI-powered enablement technology.
Pay
USD $130,000 per year - USD $144,000 per year (base salary); USD $162,000 per year - USD $180,000 per year (base salary)
Tools
Tableau, Power BI, Looker, SQL
AI focus
Champion AI-enabled learning and AI-assisted quality management, including AI-assisted evaluations, automated quality monitoring, speech analytics, predictive quality models, and AI-powered enablement technology.
Model-written summary · the original posting is authoritative