Actively prospect and identify enterprise opportunities, leveraging your network and creative outreach to generate pipeline and close high-value deals
Confidently articulate how MinIO delivers transformational outcomes for data infrastructure, AI/ML, and HPC
Own the full sales cycle from lead to close, with a focus on $250K+ opportunities and annual quota attainment of $1.5M+
Position MinIO against traditional storage vendors by demonstrating the advantages of cloud-native, S3-compatible object storage
Teach prospects about AI infrastructure optimization and data architecture modernization
Build business cases and ROI models that include quantified benefits, risk mitigation, and financial justification
Build and execute partner-led co-selling strategies, working with channel and alliance partners
Partner with Solutions Engineering, Product, and Marketing to deliver tailored solutions
Maintain disciplined pipeline management, accurate forecasting, and clear account strategies
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About MinIO
MinIO pioneers high-performance, Kubernetes-native object storage, optimized for modern AI/ML and analytics workloads. Your data infrastructure powers over half of the Fortune 500, including top global automakers and US banks. The platform is S3 compatible and delivers exceptional speed and scalability for diverse applications. MinIO is 100% open source and backed by $126 million in funding, achieving a $1 billion valuation.
How We Work
MinIO embraces a remote-first, globally distributed work environment. You will find a culture valuing problem-solving, kindness, and direct communication. Team members work asynchronously and gather in person when collaboration thrives. This hybrid on-demand model balances flexibility with impactful in-person connection. Expect open discourse and a strong community focus.
Engineering at MinIO
MinIO builds the foundation for modern data infrastructure with its Kubernetes-native object store. You will solve challenging problems related to high-performance data delivery, especially for GPU-intensive AI workloads. The core object storage is written in Go, ensuring speed and efficiency. Expect to work with cloud-native orchestration, distributed systems, and the S3 API. You will also encounter cutting-edge AI/ML pipelines, open table formats like Iceberg, and advanced analytics frameworks.
Why Join Us
Shape the future of AI and data infrastructure with a product valued at $1 billion.
Work in a remote-first, globally distributed environment that prioritizes impact.
Solve complex technical challenges at the intersection of high-performance storage and AI.
Contribute to an open-source project with over 1.25 billion Docker pulls and 40K GitHub stars.