Senior Product & Solutions Marketer - Data Lakehouse and AI
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.
What You Will Do:
- Launch & Land New Offerings: Own the go-to-market strategy for MinIO’s data lakehouse and AI-related capabilities, including those built on AIStor.
- Educate & Enable: 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 (RAG, fine-tuning, model training, etc.).
- Tell Customer Stories: Develop detailed case studies and customer-facing content to showcase real-world outcomes. You’ll collaborate closely with the field team and customers to surface these insights.
- Create Technical Content: Author and orchestrate whitepapers, blogs, solution briefs, webinars, and product demos. You’ll need to be as comfortable in Jupyter notebooks as you are in Google Docs.
- Be a Field Ally: Partner with Sales, Field Architects, and Customer Success to support campaigns, customer conversations, and competitive positioning.
- Drive Positioning & Messaging: Translate complex capabilities into differentiated value propositions tailored to modern data infrastructure buyers.
Your Skills and Experience:
- 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. Bonus points for understanding of Apache Hadoop or legacy big data architectures.
- 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).
What We Offer:
- Health Care Plan (Medical, Dental & Vision)
- 401K with 3% Contribution
- Pre-IPO Stock Options
- At least 12 Public Holidays
- Flexible Time Off
Pay Transparency
MinIO determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. The salary range for this position is an average of $190,000. Actual offer will be based on your qualifications. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
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