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MinIO

Lead Product Manager

Posted 3 Days Ago
Be an Early Applicant
In-Office
7 Locations
Senior level
In-Office
7 Locations
Senior level
The Lead Product Manager will oversee product marketing, create various marketing content, manage end-to-end product communications, and collaborate with technical teams and partners.
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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.

What You Will Do:

  • Create content including blogs to use cases, solution briefs to sales presentations;
  • Create and market content including product demos, product data sheets, sales scripts, FAQs, videos, and white papers;
  • Manage and market end-to-end product. Execute external communications including analyst briefings, press, public speaking, and customer advocacy to participate in public case studies, speaking engagements and webinars;
  • Interact with the SMEs, CTO, CEOs, solutions architecture, and engineering teams to translate the technical vision into marketing communications;
  • Own product demos and have a seat at the table as we determine what to build next;
  • Track and monitor the competitive landscape and ensure that the company collateral and website accurately reflect the latest, differentiated product positioning;
  • Create powerful, persuasive demos that the sales teams, leadership, and partners can easily execute;
  • Own and manage the resources to deliver specific campaigns from design to measurement covering everything from copy, creative, earned/paid, assets etc.; and
  • Work closely with Partnership leadership team and be the point of contact for all technical partner engagements ensuring partner enablement

Your Skills and Experience:

  • Requires a Bachelor's degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent;
  • Must have 8 years of experience in job offered or related occupation;
  • Must have 8 years of experience in Data Infrastructure;
  • Must have 8 years of experience in big data analysis, Artificial Intelligence (AI), Machine Learning (ML), and deep learning;
  • Must have 8 years of experience in SaaS solutions; and
  • Must have 8 years of experience in writing various types of collateral, product literature, customer interviews, case studies, and white papers.
  • Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. 10% domestic travel required. 10% international travel required.

What We Offer:

  • Health Care Plan (Medical, Dental & Vision)
  • 401K with 3% Match
  • Pre-IPO Stock Options
  • At least 12 Public Holidays
  • Flexible Time Off
  • The salary range for this position is $230,000 - $275,000. Actual offer will be based on your qualifications.

Additional Job Information:

  • Full-time or part-time: Full-time
  • Req. Number: RV531167
  • Job Location: 275 Shoreline Drive, Suite 100, Redwood City, CA 94065

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. 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.

Top Skills

Artificial Intelligence
Big Data
Computer Engineering
Computer Science
Data Infrastructure
Machine Learning
Saas Solutions

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