Principal Product Marketing Manager

Role Overview

The Principal Product Marketing Manager will own how MinIO’s flagship product, AIStor, is positioned, messaged, and brought to market. AIStor is the data foundation for enterprise AI, providing durable object and table storage that serves AI and analytics workloads at scale.

What You Will Do

The role involves translating AIStor’s capabilities into differentiated narratives, building content and launch programs, and equipping the field to win competitive deals.

Why It Might Be a Fit

The ideal candidate will have a strong technical acumen across modern AI infrastructure, data platforms, and the storage and analytics stack, with experience in product marketing and a proven ability to translate complex technical capabilities into clear narratives.

Requirements

• Bachelor’s degree in Marketing, Business, Computer Science, or a related field
• 5+ years of experience in product marketing, with at least 3 years focused on AI/ML infrastructure, data platforms, storage, or other technical infrastructure products
• Proven ability to translate complex technical capabilities into clear, differentiated narratives for technical buyers and business decision makers
• Strong technical acumen across modern AI infrastructure, data platforms, and the storage and analytics stack
• Excellent written and verbal communication skills, with demonstrated experience creating sales enablement content, competitive materials, and customer-facing assets
• Track record of executing high-stakes product launches with cross-functional coordination across Product Management, Engineering, Sales, and Communications
• Self-starter mentality with the ability to operate independently in a fast-paced, remote-first environment
• Hands-on familiarity with S3-compatible storage, object storage, or high-performance data infrastructure for AI and analytics workloads
• Direct experience marketing a technical product against a defined competitive set, including building battlecards and competitive positioning
• Familiarity with modern AI data pipelines, training and inference workflows, and table or lakehouse formats
• Background that includes time in technical roles (engineering, solutions architecture, technical pre-sales, or developer relations)

Benefits

• Health Care Plan (Medical, Dental & Vision)
• 401K with 3% Contribution
• Pre-IPO Stock Options
• At least 12 Public Holidays
• Flexible Time Off
• Equal Opportunity Policy (EEO)