Senior GenAI & Data Platform Product Manager

The Digital Asset Management Consortium, Inc.; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple is seeking a Sr Technical Product Manager for AI & Data Platforms (AiDP) in Austin, TX. You will own the strategy and roadmap for GenAI inferences across Apple Enterprise Teams, partnering with engineering, data science, and business units to deliver high-impact AI-enabled data products.

Ideal candidates have a proven PM track record with technical depth in data platforms, AI/ML, and cross-functional leadership, delivering scalable solutions that meet enterprise standards and customer

Qualifications

• 3+ years of Product Management experience.
• 3+ years in data platforms, analytics, or AI/ML products.
• Experience working cross-functionally with engineering, UX/UI, operations, or other stakeholders.
• Strong technical background with ability to engage with engineering on architecture.
• Deep understanding of modern data stack technologies (data warehouses, data lakes, ETL/ELT, BI tools).

Responsibilities

• Define, build, launch, and land GenAI inferences for Apple Enterprise Teams.
• Own product strategy, roadmap, product experience, and performance.
• Partner with Engineering to bring Data and GenAI products to market and measure success.
• Track product performance via KPIs to understand usage and accuracy.

Skills

Product management

Data platforms

Cross-functional teamwork

Technical background

Data warehousing

AI/ML familiarity

Stakeholder management

Communication skills

Education

Bachelor's degree in Computer Science or equivalent

Tools

Snowflake

Databricks

Looker

Tableau

Job description

Apple is seeking a Sr Technical Product Manager for AI & Data Platforms (AiDP) in Austin, TX. You will own the strategy and roadmap for GenAI inferences across Apple Enterprise Teams, partnering with engineering, data science, and business units to deliver high-impact AI-enabled data products.

Ideal candidates have a proven PM track record with technical depth in data platforms, AI/ML, and cross-functional leadership, delivering scalable solutions that meet enterprise standards and customer