MinIOposted 3 days ago
Full-time • Senior
Hybrid - Redwood Shores, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

MinIO is the industry leader in high-performance object storage and the company behind the world's fastest, most widely deployed object store, powering production infrastructure for more than half of the Fortune 500, including 9 of the 10 largest global automakers and all 10 of the largest U.S. banks. Our enterprise offering, AIStor, is engineered to handle the scale, speed, and pressure of modern AI and analytics, from terabytes to exabytes, all in a single namespace. We're looking for a Senior Product & Solutions Marketer to drive go-to-market strategy and storytelling for our commercial offerings-especially AIStor, our next-gen AI-optimized storage stack. If you're passionate about data infrastructure, know your way around the modern data stack (looking at you, Apache Iceberg, Trino, and Dremio), and love turning technical capabilities into customer impact stories, we'd love to chat.

Responsibilities

  • Own the go-to-market strategy for MinIO's data lakehouse and AI-related capabilities, including those built on AIStor.
  • Build compelling technical narratives to educate data engineers, AI/ML practitioners, and senior data leaders on how MinIO powers high-performance data lakehouses and AI workflows.
  • Develop detailed case studies and customer-facing content to showcase real-world outcomes.
  • Author and orchestrate whitepapers, blogs, solution briefs, webinars, and product demos.
  • Partner with Sales, Field Architects, and Customer Success to support campaigns, customer conversations, and competitive positioning.
  • Translate complex capabilities into differentiated value propositions tailored to modern data infrastructure buyers.

Requirements

  • 5-8 years in product marketing, technical marketing, or sales engineering-ideally in data infrastructure, analytics platforms, or storage.
  • Deep familiarity with modern data stacks: Iceberg, Delta Lake, Trino, Dremio, Starburst, and Snowflake.
  • Strong grasp of enterprise AI workloads (especially RAG, fine-tuning, and training), and how storage plays a role.
  • Solid understanding of object storage (S3-compatible) and its role in building scalable on-premises data lakehouses and private clouds.
  • Excellent communication skills: you can write for technical practitioners and tell a great story to a Chief Data Officer.
  • Experience collaborating with Sales and Field Architect teams-and a willingness to jump on calls with customers when needed.
  • A self-starter mindset-you're hands-on, adaptable, and energized by a fast-paced, high-ownership environment.
  • Experience with hybrid/multi-cloud infrastructure and private cloud deployments.
  • Ability to demo technologies or build proof-of-concept workflows to showcase capabilities.
  • Familiarity with Kubernetes, containers, and modern ML tooling (e.g. LangChain, PyTorch, Hugging Face).

Benefits

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