AI/ML Supply Chain Program Manager

Apple Inc.; Austin, Northern (TX, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Apple seeks an experienced EPM to lead end-to-end AI/ML and supply chain programs in Austin, TX. You will own technical roadmaps, milestones, and execution across engineering, product, and business teams to ensure on-time, high-quality launches.

You’ll dive into data, designs, and architectures, collaborate with software engineers and data scientists on GenAI-powered solutions, and translate technical complexity into measurable business impact through clear communication.

Qualifications

• Masters degree in CS/Engineering/Analytics with 8+ years of technical/engineering program management.
• Bachelor’s in CS/Engineering/Analytics with 10+ years experience.
• Experience with software engineering, GenAI, ML, AI, and supply chain domains.
• Proficiency with SQL, Python, data visualization, and analytics platforms.
• Knowledge of LLMs, prompt engineering, and agentic AI frameworks.

Responsibilities

• Drive end-to-end delivery of cross-functional AI/ML and supply chain programs.
• Own technical solution roadmaps, milestones, and execution across teams.
• Translate technical designs into actionable plans and executive narratives.
• Partner with engineers and data scientists on GenAI-powered solutions.
• Align stakeholders through data-driven decisions and clear communication.

Skills

Advanced SQL

Python

Data visualization

Analytics platforms

GenAI / ML

MLOps

Prompt engineering

LLMs

CI/CD for ML

APIs

Data architecture

Cross-functional leadership

Education

Master's degree in CS/Engineering/Analytics

Bachelor’s degree in CS/Engineering/Analytics

Tools

MCP servers

Function calling

GenAI tooling

Job description

Apple seeks an experienced EPM to lead end-to-end AI/ML and supply chain programs in Austin, TX. You will own technical roadmaps, milestones, and execution across engineering, product, and business teams to ensure on-time, high-quality launches.

You’ll dive into data, designs, and architectures, collaborate with software engineers and data scientists on GenAI-powered solutions, and translate technical complexity into measurable business impact through clear communication.