Amazon
Program Manager, Predictions & Machine Learning , NASC Flow, Labor And Tech
$67K–$130K
Austin, TX +2 · Manager · Full-time · Posted Oct 29, 2026
- Location
- Austin, TX
Nashville, TN
Bellevue, WA - Experience
- 3+ years in program or project management and 3+ years defining and implementing process improvement initiatives; preferred: 3+ years driving end-to-end delivery and 3+ years driving process improvements.
- Education
- Bachelor's degree.
About the job
Leads programs that improve labor-demand forecasting and ML prediction tools, driving model accuracy, operational adoption, performance monitoring, and new capabilities across North American Sort Centers.
What you'll do
- Improve ARES and AARP accuracy and reliability; monitor performance and investigate forecasting errors.
- Lead development, launch, training, and operational adoption of prediction programs and tools.
- Define success metrics, build dashboards, audit accuracy, and share performance insights and recommendations with stakeholders.
What they ask for
- 3+ years of program or project management experience.
- 3+ years defining and implementing data- and metrics-driven process improvement initiatives.
- Advanced Excel (Pivot Tables, VLookUps) and SQL; experience using data and metrics to drive improvements.
- Bachelor's degree; cross-functional experience with technical and non-technical teams; experience using AI-assisted development tools in academic or professional settings.
Nice to have
- 3+ years driving end-to-end delivery and communicating results to senior leadership; 3+ years driving process improvements.
- Stakeholder management and experience building processes, managing projects, and creating schedules.
Pay
USD 66,800.00 - 116,800.00 annually (base salary); USD 74,200.00 - 129,800.00 annually (base salary); USD 82,700.00 - 129,800.00 annually (base salary)
Tools
ARES, AARP, Excel, SQL
AI focus
Drives ML-powered labor-demand and capacity prediction programs, including improving model accuracy, developing prediction capabilities, monitoring performance, and supporting deployment and adoption.
Model-written summary · the original posting is authoritative